Motor insurance claim reporting is the most time-pressured FNOL category in general insurance. A policyholder who has just had an accident is typically in a state of stress, at the roadside, potentially with traffic around them. The AI handles this by being fast, structured, and directive — giving clear one-step-at-a-time instructions rather than asking open-ended questions.

The FNOL flow is: (1) Policy verification — policy number + last 4 digits of registered mobile, confirmed in under 20 seconds. PAS returns: policy active/expired, IDV, coverage type (comprehensive vs TP-only vs OD-only), NCB status, add-on riders active. (2) Incident capture — accident date and time, location (street/highway/city), vehicle involved (own damage only, or collision with third party), description of damage (windshield, front bumper, engine, total), and current vehicle status (driveable vs immobile). (3) FIR advisory — is FIR required? Third-party claim: yes, mandatory. Own damage above Rs 2 lakh: yes, strongly advised. Below Rs 2 lakh OD with no third party: FIR not mandatory but advisable for dispute protection. (4) Cashless vs reimbursement — if vehicle is in a cashless network garage city, 3 nearest cashless garages provided by pin-code look-up. If not, reimbursement track advised with process guidance. (5) Spot survey — scheduled within 24 hours for immobile vehicles; for driveable vehicles, policyholder can drive to the cashless garage where the garage survey replaces the spot survey. (6) CRN issued and document checklist dispatched via WhatsApp.

For total loss cases (damage appears extensive), the AI advises the policyholder not to move the vehicle and to wait for the spot surveyor — total loss determination requires the surveyor's physical assessment. Early repair or towing without survey sign-off can complicate the total loss claim process.

FIR (First Information Report) requirements in motor insurance claims are a frequent source of confusion — policyholders who have a minor solo accident often ask whether they need to go to a police station before getting their vehicle repaired. The AI gives a clear, product-specific answer within 30 seconds.

For third-party claims: an FIR is non-negotiable. The TP claim process — settlement via the Motor Accident Claims Tribunal (MACT) for bodily injury or through the insurer for third-party property damage below Rs 7.5 lakh — requires the FIR as the foundational legal document. Without an FIR, the TP claimant cannot file at MACT and the insurer may decline the TP liability claim. The AI advises immediate FIR filing: 'A third party is involved — please file an FIR at the nearest police station before leaving the scene. I'm sending you the nearest station address now.'

For OD claims above Rs 2 lakh: most insurers' policy terms require FIR for high-value own damage. The threshold is stated in the policy wordings — the AI reads this from the PAS. The FIR establishes the incident independently and protects against fraud investigation complications at settlement. Without an FIR for a Rs 3.5 lakh damage claim, the insurer may conduct a more intensive investigation before settling.

For the policyholder who has left the scene without an FIR: the AI advises that the FIR can still be filed within 24–48 hours at the nearest police station with a written complaint, subject to the SHO's acceptance. Late FIR filing is noted in the survey report — the AI advises the policyholder to explain the reason for delay in the FIR text.

For hit-and-run accidents (where the other vehicle fled the scene): if the policyholder has bodily injury, the Motor Vehicle Fund (administered by the State government under the Motor Vehicles Act) provides compensation — the AI advises filing both the police complaint and the MVA Fund claim simultaneously.

Cashless motor insurance claims are the preferred settlement method for both policyholders (no upfront payment required) and insurers (better control over repair quality and cost through network garages). The key constraint is network coverage: not all garages are on the cashless network, and not all brands are equally covered in all cities.

The AI's cashless routing uses a three-filter lookup: (1) pin code proximity (returns garages within 10–15 km radius); (2) vehicle make match (Honda Activa → Honda authorised service centre; Toyota Fortuner → Toyota authorised or multi-brand cashless garage); (3) network tier (Tier 1 garages for comprehensive repairs including heavy damage; Tier 2 for minor body and glass work). The lookup returns the 3 best-matched garages with driving directions.

For driveable vehicles, the AI advises: drive directly to the cashless garage (no separate spot survey needed — the garage does an intake inspection that serves as the initial assessment). The garage submits the repair estimate to the insurer's CMS, the AI's claims team reviews and approves within 2–4 hours, and repair commences immediately. The policyholder collects the vehicle post-repair and pays only: depreciation on rubber/plastic parts (unless Zero Depreciation add-on is active), consumables (oil, coolant, lubricants — unless Consumables add-on is active), and the compulsory deductible (Rs 1,000 for private cars, Rs 100 for two-wheelers per IRDAI).

For immobile vehicles: spot survey is required before towing to the garage. The AI schedules the spot survey within 24 hours and advises the policyholder to wait if safe to do so, or to have the vehicle towed to the nearest secure location (not to the repairer) pending survey. If RSA (Roadside Assistance) is active on the policy, the AI triggers the towing service immediately.

For vehicles not near any cashless network garage (rural or highway breakdown): the reimbursement track is activated. The AI advises: get repair done at any authorised repairer, retain all original bills, and submit bills + survey report for reimbursement. Advance payment of 50% of claim estimate is available from some insurers on pre-approval — the AI confirms this from the insurer's policy.

Total loss and constructive total loss (CTL) claims require different handling from standard repair claims — the economics, paperwork, and timeline are all distinct, and policyholders often have unrealistic expectations about what they will receive.

The total loss threshold is 75% of IDV: if the cost to repair the vehicle plus its salvage value exceeds the IDV, it is uneconomical to repair. The insurer settles at IDV minus the salvage value (auction value of the damaged vehicle) minus the compulsory deductible. Example: IDV Rs 5 lakh, estimated repair Rs 4.2 lakh (84% of IDV = CTL), salvage value Rs 30,000, deductible Rs 1,000 → settlement Rs 4,69,000. The AI states this calculation clearly during the FNOL call if the damage description suggests a total loss scenario.

For hypothecated vehicles (car financed), the total loss settlement is distributed: outstanding loan amount goes to the lender (bank/NBFC), balance goes to the policyholder. If the IDV settlement amount is less than the outstanding loan (common for vehicles financed at high LTV), there is a gap — the policyholder owes the bank the difference. Return to Invoice (RTI) add-on covers this gap by settling at the original invoice value instead of the depreciated IDV. The AI confirms whether RTI is active on the policy.

For RC (Registration Certificate) transfer in total loss: the insurer takes ownership of the salvage vehicle. The policyholder must transfer the RC to the insurer's name at the local RTO. This is the most common bottleneck in total loss settlement — RC transfers take 15–30 days and require the policyholder's physical presence at the RTO (or a licensed agent). The AI advises the RC transfer process and its timeline, managing settlement expectations.

For total loss of a leased vehicle: the settlement goes to the leasing company, not the policyholder. The AI advises this and connects the call to the leasing company's fleet insurance team if applicable.

For new vehicles (less than 1 year old) with Return to Invoice (RTI) add-on: the settlement is at the original invoice price (including registration and road tax) — significantly higher than the depreciated IDV. The AI confirms RTI eligibility and advises the invoice-based settlement amount.

Vehicle theft is the most emotionally distressing motor claim type — and the most document-intensive, with the longest settlement timeline due to the mandatory 90-day Non-Traceable Certificate wait. The AI's theft FNOL call focuses on: immediate FIR filing guidance, document checklist dispatch, and proactive timeline management to prevent follow-up call overload.

Immediate actions advised at theft FNOL: (1) File an FIR at the nearest police station immediately. The FIR date is the start of the 90-day Non-Traceable Certificate clock. (2) Inform the local RTO about the theft (required for commercial vehicles and for the Non-Traceable Certificate process). (3) Submit all sets of keys to the insurer — this is a standard requirement that many policyholders overlook; insurers typically require both the original key and the spare key to prevent moral hazard. (4) If the vehicle is hypothecated, the bank or NBFC's NOC (No Objection Certificate) is required for the settlement to proceed.

The Non-Traceable Certificate is issued by the police (in some states) or the RTO after 90 days — confirming that despite efforts, the vehicle has not been recovered. This document is the key trigger for final settlement. The AI sets up a Day 80 follow-up call to remind the policyholder to initiate the Non-Traceable Certificate request from the appropriate authority, preventing the case from stalling at this step.

If the vehicle is recovered after the claim is settled: the insurer becomes the legal owner of the recovered vehicle. The policyholder cannot retain both the settlement and the recovered vehicle — they must either return the settlement and keep the vehicle, or surrender the vehicle to the insurer. The AI advises this either-or position at FNOL.

For partial theft (accessories, battery, tyres stolen without the vehicle being taken): these are covered as own damage claims, not theft claims. FIR is still required. The AI classifies the claim type correctly based on the incident description and routes accordingly.

For two-wheeler theft — the most common theft target in India — the process is identical but the IDV amounts are lower (Rs 30,000–80,000 typical) and the Non-Traceable Certificate timeline remains the same 90 days.

The claim-vs-NCB trade-off analysis is one of the most valuable advisory services an AI FNOL agent can provide — and one that manual call centre agents rarely offer due to the cognitive load of calculating the multi-year NCB impact in real time.

NCB savings over 5 years with 50% NCB on Rs 12,000 OD premium: Year 1 saving Rs 6,000 (50% NCB) + Year 2 saving Rs 5,400 (45% NCB after one year back) + Year 3 Rs 4,200 (35% NCB) + Year 4 Rs 3,000 (25% NCB) + Year 5 Rs 2,400 (20% NCB) = Rs 21,000 cumulative NCB saving over 5 years vs no NCB. If the repair is Rs 15,000, paying out of pocket saves Rs 6,000 more (Rs 21,000 NCB saving over 5 years > Rs 15,000 repair cost). If the repair is Rs 35,000, claiming is obviously better (Rs 35,000 repair cost >> Rs 21,000 cumulative NCB saving).

The AI's real-time NCB analysis: 'Your NCB is currently [X]% saving you Rs [Y] per year. If you claim for this Rs [repair amount] damage, your NCB resets to zero. Over the next 5 years, you would save Rs [cumulative savings amount] if you preserve the NCB by not claiming. Paying the repair out of pocket saves Rs [difference] in total. This is your decision — which would you prefer?' This transparency drives significantly higher policyholder satisfaction than a call centre that simply takes the claim without analysis.

For policyholders with NCB Protection add-on: the calculation is different — one claim per year does not reset the NCB. The AI confirms the NCB Protection status from the PAS and advises accordingly: 'Your NCB Protection add-on means this claim will not affect your NCB. Proceed with the claim without any NCB penalty.'

For compulsory deductibles: the standard compulsory deductible is Rs 1,000 for private cars and Rs 100 for two-wheelers. For very small claims (below Rs 3,000 for a private car), claiming after deductible leaves a net recovery of Rs 2,000 but costs the full NCB — the AI's analysis always nets out the deductible before presenting the claim-vs-NCB trade-off.

Third-party liability claims are fundamentally different from OD claims — the policyholder is not the claimant; they are the party whose insurance is being drawn on to compensate an injured third party. The policyholder's obligation is to: (1) not admit liability at the scene, (2) file an FIR, (3) notify the insurer immediately, and (4) cooperate fully with the insurer's legal team in the MACT proceedings.

The AI advises these four obligations in sequence at FNOL. Point 1 — no liability admission — is particularly important and counter-intuitive for policyholders who feel morally responsible: 'Please do not verbally admit fault or sign any document at the scene — your insurer's legal team will represent you. This is not about avoiding responsibility; it is about ensuring the legal process is handled correctly.'

For TP bodily injury claims, the MACT process: TP claimant files a petition at the MACT in the jurisdiction of the accident. The insurer is served as respondent. MACT cases typically resolve in 6–18 months (fast-track MACT) or 2–5 years in congested courts. The insurer's legal team handles the defence, and settlement is MACT-ordered — the policyholder does not negotiate directly. The AI advises the policyholder that they will receive MACT case notices and summons — these must be forwarded immediately to the insurer's legal team.

For no-fault compensation (Section 163A and 163B MV Act): fatal accident victims' families are entitled to a fixed no-fault compensation (structured scale based on victim's income) without establishing negligence. This is paid within 30 days of application by the insurer. The AI advises this to policyholders who have caused a fatal accident — proactively, to ensure the victim's family receives their legal entitlement promptly.

For TP property damage below Rs 7.5 lakh: the insurer settles directly (without MACT). The AI registers the TP property damage component as a separate claim item in the CMS alongside the OD claim, and the settlement is processed within 30 days per IRDAI timeline.

Electric vehicles are the fastest-growing segment in Indian motor insurance, with 1.6 million EVs registered as of 2025 and growing at 60%+ annually. The claim ecosystem for EVs is still maturing — insurer panels of EV-authorised repair centres (MISPs) are smaller than ICE vehicle networks, and the adjudication of battery damage is more complex.

Battery damage classification is the most critical EV claim issue. Three categories: (1) Impact damage (physical accident damage to the battery pack or BMS): covered under standard OD — the AI registers this as a standard claim and routes to MISP. (2) Thermal event (battery fire from charging fault, manufacturing defect, or accident): covered under OD; however, if the fire resulted from user-side overcharging or use of non-OEM charger, the claim may be subject to investigation. (3) Natural degradation (capacity loss over time): excluded from insurance, covered under manufacturer warranty — the AI advises the manufacturer's warranty channel, not the insurance channel.

MISP (Motor Insurance Service Provider) is the IRDAI-designated authorised EV repair infrastructure. Only MISP-registered workshops can conduct battery pack assessment, high-voltage electrical repair, and BMS (Battery Management System) diagnostics for insurance claim purposes. The AI queries the insurer's MISP panel by city and routes the policyholder to the nearest authorised EV repair centre.

For EV total loss: the battery IDV is declared separately from the vehicle IDV under IRDAI's EV insurance guidelines. A 5-year-old EV with a Rs 8 lakh battery pack may have a battery IDV of Rs 4.8 lakh (40% depreciation at IRDAI EV battery depreciation schedule) — the total settlement is vehicle IDV + battery IDV minus salvage minus deductible.

For charging infrastructure claims (home charger damaged in a flood or fire): this is typically covered under home insurance, not motor insurance. The AI correctly redirects charging infrastructure claims to the property insurance channel.

Exclusion handling at FNOL is a nuanced compliance issue. The AI's role is to register the claim accurately — not to pre-judge it. Pre-emptively denying or discouraging a claim at FNOL based on suspected exclusion is an IRDAI violation. The correct protocol is: register the claim, dispatch the survey, and allow the trained surveyor to assess the exclusion applicability through physical inspection and investigation.

However, the AI's incident description capture serves a dual purpose: creating an accurate record for the surveyor, and flagging patterns that the surveyor should be aware of. The flag is internal — the policyholder is not told their claim is flagged. The surveyor receives an advisory note: 'Policyholder reported incident at 11:30 PM returning from a gathering — surveyor to verify sobriety at time of accident.' This is factual, not accusatory.

For drunk driving (Blood Alcohol Content above 30 mg/100 mL per MV Act Section 185): this is both an exclusion and a criminal offence. If the FIR indicates a DUI charge, the insurer investigates before settling. The AI advises the policyholder that the claim is under investigation and that the insurer will review the FIR content — without prejudging the outcome.

For licence validity: a claim may be denied if the policyholder's driving licence had expired at the time of the accident. The AI captures the policyholder's DL details (number, expiry date) during the FNOL call and flags if the DL appears expired. The policyholder is not denied FNOL registration — but the potential DL-expiry issue is noted in the claim file for the underwriting team.

For vehicles used for hire or reward without a commercial endorsement: a private car used as a cab (OLA/Uber) without commercial vehicle endorsement on the policy is typically excluded from OD coverage for accidents during commercial use. The AI's incident description ('I was driving a customer') captures this detail for the surveyor's assessment.

For overloading of commercial vehicles: GVW (Gross Vehicle Weight) overloading invalidates coverage. The AI captures the cargo description for commercial vehicle claims and flags if the policyholder mentions overloading — the surveyor confirms with the weigh-bridge certificate from the accident site.

Two-wheelers — scooters, motorcycles, and mopeds — account for approximately 65% of all motor insurance policies in India by volume. Their claim dynamics differ from four-wheelers in important ways that the AI must handle specifically.

IDV and total loss threshold: a 3-year-old Honda Activa with an IDV of Rs 45,000 reaches CTL threshold (75% of IDV = Rs 33,750) at relatively modest damage. A bent frame, engine seizure after water ingestion, or collision damage to multiple body panels can exceed Rs 33,750 in repair costs, making total loss common at damage levels that would be repairable on a car. The AI advises the total loss threshold amount explicitly during the FNOL call: 'If repair costs exceed Rs 33,750 (75% of your IDV of Rs 45,000), this will be settled as total loss at Rs 45,000.'

Cashless service centre routing: two-wheeler cashless repair is exclusively through brand-authorised service centres (ASCs). Unlike four-wheelers where multi-brand cashless garages exist, two-wheelers require the manufacturer's authorised centre — Honda's bikes go to Honda ASCs, TVS bikes to TVS ASCs. The AI confirms brand-specific ASC addresses by pin code.

Pillion rider injury: if the pillion passenger is injured in the accident, they are covered under the policy's Personal Accident (PA) cover for owner-driver and, if available, the pillion rider PA add-on (mandatory for all two-wheelers carrying a pillion from January 2019 per IRDAI circular). The AI advises the pillion PA claim simultaneously with the vehicle OD claim.

Helmet compliance: IRDAI and some insurer policies require the rider and pillion to have been wearing ISI-certified helmets at the time of the accident. Non-helmet use is not an automatic claim exclusion, but some insurers apply a 5–10% claim deduction for helmet non-compliance. The AI captures the helmet status ('were you wearing a helmet at the time?') and advises the potential deduction if applicable under the policy.

For electric two-wheelers (e-scooters — Ola Electric, Ather, Bajaj Chetak): the battery claim considerations from the EV section apply, but the MISP panel for two-wheeler EVs is even smaller than for four-wheelers. The AI confirms MISP availability in the city before confirming cashless eligibility.

Natural calamity motor claims are high-volume, geographically concentrated events — a single monsoon flood in Chennai or Mumbai can generate 10,000–25,000 motor claims in 48 hours. The AI's catastrophe mode handles this volume surge without proportional human staffing increases.

Flood damage is the most common natural calamity motor claim. Water entry to the engine and electrical systems is the primary damage — but the secondary damage from attempting to start the engine after water ingestion (hydrostatic lock, bent connecting rod, seized engine) is far more expensive and is not covered as it is policyholder-induced damage. The AI's first instruction in any flood-related FNOL call is: 'Do NOT start the engine — even if the vehicle appears driveable. Water in the engine causes catastrophic damage when started. Call roadside assistance or wait for the surveyor.'

For IRDAI's catastrophe claims protocol: when IRDAI declares a catastrophe event, insurers are directed to apply relaxed survey requirements (survey by photograph rather than physical inspection for smaller vehicles) and expedited settlement timelines (15 days for catastrophe claims with complete documents). The AI advises this relaxed timeline during catastrophe events.

Hailstorm claims: hail damage to the vehicle exterior (dents in bonnet, roof, and boot lid) is covered under OD. These are typically high-volume, low-severity claims. The AI advises: photograph all hail damage before any repair, do not attempt DIY paintless dent repair (PDR) before the surveyor's assessment — PDR-repaired panels cannot be re-assessed accurately.

For engine protection add-on: standard OD covers accidental external damage but excludes consequential engine damage (water ingestion damage). The Engine Protection add-on covers water ingestion, oil leakage damage, and hydrostatic lock — the AI confirms whether this add-on is active, which is the key coverage question for all flood claims.

For submerged total-loss vehicles: many flood-submerged vehicles are totalled due to water damage to electrical systems, sensors, and engine internals. The total loss threshold calculation applies — if assessed repair exceeds 75% IDV, the vehicle is settled as CTL even if the exterior appears undamaged.

Add-on riders are one of the most under-utilised aspects of motor insurance — a significant proportion of policyholders who have purchased add-ons are unaware of their exact entitlements when a claim occurs. The AI's add-on advisory at FNOL converts policyholder confusion into confident claim processing.

Zero Depreciation: without it, a standard OD claim deducts depreciation on replaced parts — 30% for rubber/plastic/nylon parts below 6 months old, 50% for 6 months to 5 years, up to 50% for metal parts above 5 years. On a Rs 40,000 repair with significant rubber and plastic replacement (front bumper, headlight housing), the depreciation deduction can be Rs 12,000–18,000. With Zero Dep, the deduction is zero. The AI confirms Zero Dep at FNOL: 'Your Zero Depreciation add-on is active — your repair will be settled at full replacement cost with no depreciation deduction.'

RSA (Roadside Assistance): when the vehicle is immobile due to accident, breakdown, or flat tyre, RSA provides towing (within the policy limit, typically 50–100 km), fuel delivery (emergency fuel if tank is empty), battery jump-start, minor mechanical assistance, and accommodation allowance for accidents more than 100 km from home. The AI triggers RSA immediately when the policyholder reports an immobile vehicle — no separate RSA call needed.

For Consumables Cover: oil changes, nut-and-bolt replacements, grease, coolant, and brake fluid are standard workshop consumables charged in every repair. Without Consumables Cover, these are excluded from the claim. With it, the consumables line item in the repair invoice is reimbursed. Typical consumables cost per repair: Rs 800–2,500. At Rs 1,200 average and 1 claim per 5 years, the Rs 350–400 annual Consumables Cover premium is justified — the AI presents this analysis at renewal if the add-on is not active.

Key Replacement Cover: if the vehicle keys are stolen or lost, Key Replacement Cover pays for new keys and, for modern vehicles with keyless entry, the key programming cost (Rs 8,000–25,000 for modern car keys). The AI confirms this add-on and advises the key replacement claim process if the policyholder mentions lost keys.

Document incompleteness is the primary cause of motor claim settlement delay — IRDAI data shows 38% of motor claims experience processing delay due to missing or incorrect documentation. The AI's document checklist dispatch eliminates the most common gaps by making the list specific, digital, and actionable.

OD accident claim document checklist: (1) RC copy (both sides) — digital RC from DigiLocker accepted. (2) Driving licence copy (both sides, valid at time of accident) — digital DL from DigiLocker accepted. (3) Insurance policy schedule or CRN. (4) FIR copy (certified) — if FIR was filed. (5) Photographs of damage — minimum 6 angles: front, rear, left side, right side, dashboard showing odometer, and damage close-up. (6) Repair estimate from cashless garage or authorised repairer — required before survey authorisation. (7) Surveyor's inspection report — completed by the insurer's surveyor post-inspection.

For cashless claims, the garage handles items 6 and 7 on the policyholder's behalf — the policyholder only needs to provide items 1–5. The AI advises this simplified list for cashless track policyholders.

For reimbursement claims (all documents submitted after repair): the full checklist expands to include original repair bills (cash memo), original parts replacement invoices, original towing receipt (if applicable), and original consumables invoice. The AI advises original-document retention before submission and photocopying before sending originals.

For Aadhaar-based identity verification at the garage for cashless claims: policyholders can use Aadhaar + registered mobile OTP as identity proof at the garage — no physical document submission needed at the cashless stage.

Document upload is via WhatsApp — each document type has its own upload link, pre-filled with CRN. Upload confirmation triggers an automated acknowledgement and updates the CMS in real time. Day 3 and Day 7 follow-up calls remind the policyholder of any outstanding documents.

Reimbursement claims arise in two scenarios: the policyholder chose a non-cashless garage (proximity, brand loyalty, specialist repair), or an emergency required immediate repairs before cashless approval could be arranged. Both are valid — the policyholder's right to seek reimbursement is protected under IRDAI regulations.

Kallix's reimbursement guidance call is triggered immediately when the FNOL indicates a non-cashless repair: 'Since you are using a non-network garage, I will guide you through the documents you need to collect to ensure your claim is paid in full. The most important rule: collect all original bills and receipts — photocopies are not accepted for reimbursement.' This upfront guidance prevents the most common reimbursement failure: policyholders who pay, discard original receipts, and then cannot submit a valid claim.

Document checklist for motor reimbursement: (1) original garage invoice with GSTIN, (2) payment receipt (UPI screenshot, bank transfer, cash receipt), (3) job card from garage showing vehicle details, work done, and parts replaced with part numbers, (4) photos of damage taken before repair (from FNOL), (5) RC copy and driving licence copy, (6) survey report from insurer's surveyor (for claims above Rs 25,000). For Zero Dep policyholders: the garage invoice must separately itemise parts by part name — insurers require line-item depreciation calculation even under Zero Dep policies to verify the cover applies.

Document tracking: Kallix sends a WhatsApp document collection tracker — each document is listed with a checkbox status. The AI follows up at Day 3 and Day 7 for outstanding items, naming the specific missing document rather than sending a generic reminder. Complete document submission: 82–88% within 14 days with AI tracking vs 55–65% without.

Surveyor delay is the most commonly cited customer pain point in motor claims — the policyholder cannot proceed to repairs until the survey is complete, but has no visibility into when the surveyor will arrive. Kallix eliminates this uncertainty with real-time survey coordination.

For claims above Rs 25,000: a physical surveyor visit is required by IRDAI. Kallix dispatches the appointment link within 30 minutes of FNOL: the policyholder selects a 2-hour arrival window from the surveyor's live calendar. The surveyor receives the claim details, vehicle location, and photos already submitted at FNOL — eliminating information re-collection at the site. Survey duration drops from 45–60 minutes to 20–30 minutes with pre-loaded claim context.

For claims below Rs 25,000: Kallix's photo survey workflow sends a 6-angle photography guide via WhatsApp within 15 minutes of FNOL — front, rear, both sides, close-up of damage, and dashboard odometer. Policyholders complete the photo survey in under 10 minutes; 78% complete it within 2 hours of receiving the guide. The AI reviews photo completeness (automated checks for blur, angle compliance, required elements) and requests re-shoots for non-compliant photos. Approved photo surveys are routed to the assessor queue within 4 hours.

Surveyor escalation: if a scheduled physical survey does not occur within the confirmed appointment window, Kallix AI sends an automatic escalation to the insurer's survey manager and offers the policyholder an alternative surveyor appointment slot. This escalation system eliminates the 12–18% of surveys that are missed due to surveyor non-availability without policyholder notification — a significant source of claim delay complaints.

Settlement disputes are the highest-IGMS-complaint category in motor insurance. Most disputes arise from three sources: (1) depreciation deductions on parts that the policyholder believes should be covered under Zero Dep; (2) repair vs replace decisions where the surveyor assessed parts as repairable but the garage recommends replacement; (3) IDV shortfall on total loss where the insured IDV is lower than the policyholder's expectation of vehicle market value.

Kallix's dispute handling AI first audits whether the dispute has merit: for Zero Dep disputes, it checks whether the add-on was active on the claim date and whether the part category is covered (Zero Dep typically excludes consumables, tyres, batteries). If the Zero Dep add-on was active and applicable, the AI flags an assessment error and routes to the insurer's technical reviewer with the policy details and surveyor report side-by-side.

For total loss IDV disputes: the AI explains the IDV methodology — 'Your IDV was set at Rs [X] at policy issuance based on the ex-showroom price of Rs [Y] depreciated at [Z]% for [N] years. IDV is the contractual sum insured, not the current market price. If you believe the IDV was incorrectly calculated at issuance, I can raise a query with the underwriting team.' This education resolves 44–52% of IDV disputes without escalation — policyholders who understand the methodology often accept the settlement once explained.

For unresolved disputes: Kallix generates a pre-populated dispute form (insurer's name, policy number, claim number, specific dispute grounds, requested resolution), sends it to the policyholder via WhatsApp for signature, and routes to the Grievance Redressal Officer (GRO) with full claim history. If the GRO does not resolve within 15 days, the AI triggers IGMS filing instructions to the policyholder.

Supplementary damage is common in structural damage claims: a vehicle brought in for visible front-end damage may reveal hidden suspension damage, frame distortion, or coolant system damage once the bumper is removed. The garage cannot proceed with reassembly until the insurer approves the supplementary parts — creating vehicle delays and policyholder frustration.

Kallix's supplementary workflow is triggered when the garage submits a supplementary estimate to the insurer's portal. The AI calls the policyholder within 4 hours: 'The garage has found additional damage to your [specific parts] that was not visible externally. A supplementary survey has been requested. The surveyor will review the new damage within [N] hours — I will update you as soon as the approval comes through.' This proactive communication prevents the policyholder from calling the garage and the insurer repeatedly for status updates.

For supplementary damage that exceeds the repair limit for the add-on cover (e.g., engine protection add-on has a claim limit, and the supplementary engine damage exceeds it): the AI explains the add-on limit upfront — 'Your Engine Protection add-on has a Rs [X] limit — the additional engine damage assessed at Rs [Y] means Rs [Z] will be covered and Rs [A] will be your out-of-pocket portion.' This early disclosure prevents the policyholder from discovering the shortfall at delivery.

Supplementary claim totalling: if supplementary damage pushes the total repair estimate above 75% of IDV (CTL threshold), the claim must be reconsidered as a total loss. Kallix's AI flags this to both the insurer and the policyholder early — 'The supplementary estimate brings total repair cost to Rs [X], which is [N]% of your IDV. The insurer may reclassify this as a total loss — I will confirm the insurer's decision within [N] hours.'

The owner-driver PA cover is the most underutilised benefit in motor insurance — many policyholders and their families are unaware that a lump-sum PA payout exists separate from the vehicle damage claim. Kallix AI surfaces this awareness at two points: the FNOL call (where the accident circumstance is first reported) and proactively during the motor onboarding call.

At FNOL: if the policyholder or a family member reporting the accident mentions physical injury, the AI immediately adds the PA claim pathway: 'I see you have injuries from this accident. Your motor policy includes a PA cover of Rs 15 lakh for the owner-driver. Let me file both the vehicle damage and PA claims simultaneously — it only takes 2 additional minutes.' This dual-claim filing prevents the PA claim from being forgotten amid the vehicle damage process.

PA claim documents for injury: FIR (if filed), hospital admission records, treating doctor's certificate, disability certificate (for partial or total disability claims), and the policyholder's driving licence confirming they were driving at the time of the accident. The disability table under the policy defines payout percentages: loss of both limbs (100%), loss of one limb or one eye (50%), etc. The AI explains this table in plain language so the claimant understands what to expect.

Death claim under owner-driver PA: the nominee (typically spouse or parent) receives Rs 15 lakh. Kallix AI supports the nominee with: claim form dispatch, document list (death certificate, FIR, RC copy, policy copy, nominee Aadhaar and bank details), and weekly status updates through settlement. For nominees who are elderly or in a remote location: the AI connects them to the nearest insurer branch for in-person assistance.

Hypothecated vehicle claims are administratively complex because two parties have a financial interest in the claim — the policyholder (owner) and the lender (financier). The coordination between the insurer, policyholder, and financier is a common source of claim delays.

For total loss (TL) claims: the insurer issues the settlement cheque in favour of both the policyholder and the lender. Kallix AI pre-coordinates this process: on notification of TL status, the AI calls both the policyholder and the financier's claims desk simultaneously, confirms the outstanding loan balance as of the settlement date, and confirms the two-party cheque amount split. The AI explains to the policyholder: 'Your settlement is Rs [X]. Your outstanding loan balance is approximately Rs [Y] — the cheque of Rs [X] will be issued to you and [Bank Name] jointly. After the bank endorses their portion, the balance of Rs [Z] is yours.'

For theft claims with hypothecation: the FIR, non-traceable certificate, and RTO transfer of ownership must all be coordinated before the settlement. The AI tracks each step and provides status updates to both the policyholder and, if applicable, the financier's claims coordinator.

NOC requirement for partial claims: some lenders require an NOC (No Objection Certificate) before the insurer releases repair approval for damages above a threshold. Kallix AI identifies policies with active hypothecation and proactively checks whether the financier requires an NOC for the specific claim amount — preventing a 5–7 day delay that occurs when this requirement is discovered mid-claim.

Post-settlement RC endorsement: after total loss settlement, the RC must be transferred to the insurer (for salvage) or cancelled (for theft). The AI guides the policyholder through the RTO process and confirms the hypothecation removal from the RC once the loan is cleared.

IRDAI's motor claim settlement deadlines are legally binding — yet a significant portion of motor claims breach the 30-day settlement timeline, either because claims teams lack real-time monitoring or because document completeness tracking is manual and inconsistent.

Kallix's claims timeline module maintains a per-claim clock for every open motor claim. The clock starts from the date all required documents are confirmed complete in the CMS (not from the FNOL date). For claims where documents are being collected: the module tracks document completeness separately from settlement TAT — the settlement clock does not start until completeness is confirmed, which is the correct regulatory interpretation.

Day 25 insurer alert: when a claim is 25 days from the complete document date, Kallix AI sends an automated alert to the claims assessor, team lead, and claims head: 'Claim [CRN]: settlement due in 5 days — current status [X]. Action required to meet IRDAI TAT.' This 5-day buffer allows claims teams to prioritise without creating panic at Day 29.

Interest entitlement notification to policyholder: if a claim breaches the 30-day IRDAI deadline, Kallix AI notifies the policyholder: 'Your claim settlement was due by [date]. You are entitled to interest at [rate]% above the bank rate on the settlement amount for each day of delay under IRDAI Regulation [X]. I have flagged this to the insurer's claims team and will follow up.' This transparency builds trust and creates accountability — insurers aware that policyholders know their rights process delayed claims faster.

For fast-track small claims (below Rs 25,000, photo survey approved): Kallix's target settlement TAT is 7 working days from complete document submission. Actual performance: 72–78% of fast-track claims settled within 7 days after AI timeline monitoring.

Commercial vehicle insurance claims have three claim streams that can arise from a single accident: own damage (OD) to the vehicle, goods-in-transit (GIT) claim for damaged cargo, and third-party bodily injury (TP) for the accident victim. Kallix AI handles all three streams simultaneously from the FNOL call.

Permit validation is critical: a commercial vehicle operating without a valid permit (expired, wrong route, wrong cargo type) can have its claim repudiated under the violation of conditions clause. Kallix AI checks the permit status at FNOL against the transport authority database (where API access is available) and flags any permit anomalies before filing — allowing the operator time to provide clarification before a repudiation risk is crystallised.

Driver licence endorsement for commercial vehicles: private vehicle licences (non-transport) are not valid for commercial vehicle operation. The AI verifies the driver's licence category endorsement (HMV/LMV-Transport) and confirms whether the driver was authorised to operate the specific class of vehicle. This check prevents a common repudiation ground — an unlicensed or incorrectly licensed driver at the time of the accident.

GIT cargo claim coordination: if the commercial vehicle was carrying goods, a separate GIT claim is triggered. The AI collects the cargo details (type, quantity, declared value, consignment note), confirms whether the cargo was covered under the motor policy's GIT add-on or a separate marine/transit policy, and routes accordingly. Multi-policy claim coordination reduces the operator's administrative burden significantly.

Fleet claims batch management: for logistics operators with 20+ vehicles, Kallix AI supports batch FNOL filing — a single call from the fleet manager can initiate multiple claim registrations with per-vehicle details collected efficiently. Fleet claim dashboard access is provided to the fleet manager via WhatsApp — status for all active claims in a single report.

Two-wheeler theft and partial recovery presents one of the most complex motor claim scenarios: the policyholder reported the vehicle stolen, the insurer initiated the full theft settlement, and then the police recovered the vehicle in a damaged state. The claim must be re-characterised, the salvage must be assessed, and a revised settlement must be calculated.

Kallix's partial recovery workflow: when the policyholder notifies the AI that the vehicle has been recovered, the AI immediately pauses any pending full-loss settlement disbursement and initiates the recovery assessment protocol. A surveyor visit or photo survey is dispatched within 24 hours of recovery notification to document the vehicle's condition.

Recovery settlement options: (1) if the vehicle is repairable: the insurer pays the full repair cost (assessed by surveyor) and the policyholder receives the repaired vehicle. (2) If the vehicle is beyond economic repair (repair cost > 75% IDV): the insurer pays IDV minus salvage value, as in a full total loss. (3) If specific parts were stripped (common in two-wheeler thefts — mirrors, tyres, seats): the claim covers the assessed cost of missing parts, calculated per the parts schedule.

NCB impact for partial recovery: if the policyholder already received or was offered a full theft settlement, the partial recovery changes the settlement calculation. Kallix AI explains the NCB reset implications: 'Since a theft claim has been initiated, your NCB will be reset regardless of whether it is settled as a partial or full loss — the claim itself triggers the NCB reset. You would need NCB Protect add-on to prevent this.'

RTO cancellation reversal: if the policyholder had already applied for RC cancellation (required for full theft settlement), the recovery means the cancellation must be reversed. Kallix provides the RTO process for withdrawal of cancellation application — typically possible if the cancellation has not been processed.

Windshield and glass claims should be the simplest motor claims to process — yet many policyholders pay out of pocket because they do not know the process, believe it is not worth claiming, or are unaware that glass claims may not affect their NCB.

Kallix's glass claim workflow takes 4 hours from WhatsApp photo to cashless approval. The process: photo received + damage assessed by AI (cracks, chips, full replacement needed) → OEM part cost checked from database → Zero Dep + glass cover eligibility confirmed → cashless authorisation dispatched to empanelled workshop. The policyholder is sent a list of 3–5 empanelled glass replacement shops within 5 km of their registered location.

NCB impact is the most important advisory on glass claims: under most comprehensive policies with a glass cover add-on (some insurers include this in the base comprehensive policy, others as an add-on), glass claims are zero-impact on NCB. The AI confirms this status: 'Your glass claim will not affect your NCB because your policy includes a zero-impact glass cover.' Policyholders who know this are 64–72% more likely to use cashless glass repair rather than paying out of pocket and delaying the repair.

For windshield chips (small chips repairable with resin injection): the AI explains the choice between chip repair (Rs 500–1,500, preserves OEM glass, faster) and full replacement (Rs 8,000–18,000 for standard vehicles). Chip repair extends windshield life and is the preferred option if the chip is not in the driver's line of sight. Most insurers cover chip repair under the glass claim without NCB impact.

Consumables add-on: some policyholders have a consumables add-on that covers engine oil, coolant, nuts, bolts, and other consumables replaced during a repair claim. The AI confirms consumables add-on eligibility when the FNOL involves a repair claim and includes the consumables cost in the cashless authorisation automatically.

Multi-vehicle accidents create claim complexity across three dimensions: own-damage claims for the policyholder's vehicle, third-party liability for the policyholder's vehicle causing damage to others, and potential personal injury claims from all parties. Kallix AI manages the policyholder's own-damage stream and coordinates the handoff of third-party streams to appropriate channels.

At FNOL for a multi-vehicle accident: the AI collects the other vehicle(s) registration numbers, confirms whether FIR was filed (required when a third-party vehicle is involved), and captures third-party insurance details if available (from MV Act, vehicles must carry at least third-party cover). This data is immediately valuable: if the accident was the other driver's fault, the policyholder may file against the at-fault driver's TP insurer — recovering claim costs without affecting their own NCB.

Fault determination advisory: Kallix AI does not determine fault — but it advises the policyholder on the implication of filing under their own policy vs. the third party's policy: 'If the other driver was at fault and has third-party cover, you can claim from their insurer — this preserves your NCB. Your own policy covers you regardless of fault, but the NCB reset is the cost.' This advisory empowers the policyholder to make an informed choice.

IIB cross-reference: India's Insurance Information Bureau maintains a vehicle accident claim register. Kallix AI includes the IIB reference number in the claim file to prevent duplicate TP claims being filed by multiple parties for the same accident — a significant fraud prevention measure.

For accidents with uninsured third parties: the Kallix AI connects the policyholder to the MACT filing process — 'If the at-fault vehicle has no insurance, you can file a compensation claim with the Motor Accident Claims Tribunal. I can provide you with the process and the lawyer empanelment list if needed.'

RSA is an often-forgotten add-on that delivers the most immediate tangible value of any motor insurance benefit — on-road assistance within 30–60 minutes of a breakdown. Yet most policyholders with RSA coverage do not know they have it, or do not know the activation number, and end up calling a roadside repair service independently at full cost.

Kallix's RSA activation workflow: on receiving the breakdown notification (via AI call or WhatsApp), the AI immediately: (1) confirms RSA add-on is active on the policy; (2) collects the precise location — GPS pin via WhatsApp or landmark + road name if GPS unavailable; (3) identifies the nearest RSA service provider from the insurer's RSA network (typically managed by a third-party RSA provider like COROUTE or TVS AA); (4) dispatches the assignment and provides the ETA and service provider's mobile number.

Service scope advisory: the AI explains what RSA covers: 'Your RSA add-on covers towing (up to [N] km), one battery jump-start per year, one flat tyre change per year, fuel delivery (policyholder pays fuel cost), minor on-site repairs, and alternative transport or accommodation if the vehicle cannot be repaired on-site.' This scope advisory prevents disputes when policyholders expect broader coverage than the add-on provides.

Night-time and remote location RSA: for breakdowns on highways or remote areas (common for long-distance travel), Kallix AI confirms whether the insurer's RSA network covers the specific location. If the location is outside the RSA network's coverage, the AI provides the nearest available towing service and confirms the reimbursement process for out-of-network RSA costs (typically Rs 1,000–2,500 reimbursable per incident).

RSA and claim relationship: if the breakdown is accident-related, the RSA tow delivers the vehicle to a cashless garage, triggering the claims process simultaneously. The AI coordinates both streams — RSA provider receives the delivery location of the cashless garage, not the policyholder's home.

Cashless garage repair quality complaints are a significant source of insurance NPS damage: the policyholder has already been through a claim event, and receiving a poorly repaired vehicle is a compounding failure. Most policyholders do not know they have a recourse path and either absorb the poor repair or pay independently for re-work.

Kallix's quality dispute workflow begins with the return delivery call: 'Is your vehicle in the condition you expected? Are there any issues with the repair work?' This proactive check at delivery catches defects immediately — before the policyholder drives the vehicle and complicates the defect attribution. WhatsApp photos of specific defects are collected while the policyholder is still at the garage.

The AI raises the complaint directly with the insurer's empanelled garage network manager — not through general customer service. The network manager has the authority to direct the garage to re-do the work under the cashless repair guarantee. The policyholder is advised not to pay any additional amount for re-work: 'If the garage requests payment for the re-work, please decline and let me know immediately — the repair guarantee covers this.'

For disputes involving paint quality (colour mismatch, peeling, bubbling within 90 days): most insurer cashless garage agreements include a 90-day paint quality warranty. Kallix AI confirms the warranty period and raises the warranty claim with the garage network manager if the dispute is within the warranty window.

For garages that refuse to rectify: the AI escalates to the insurer's cashless garage empanelment team — repeated quality complaints can result in garage de-empanelment. This escalation path gives the complaint teeth beyond being a customer service ticket.

Accessory theft is an underserved claim category — policyholders who spend Rs 30,000–80,000 on a custom audio system or alloy wheel set are often unaware that these are not automatically covered under the standard comprehensive policy unless declared at issuance. The undeclared accessories exclusion is the most common accessory claim rejection ground.

Kallix's accessory theft FNOL: the AI checks the policy's accessories section for declared items and their insured values. If the stolen accessory was declared: the claim is processed. If undeclared: the AI advises on the endorsement process for future coverage and the limited options for the current claim (some insurers allow a post-theft declaration with reduced settlement; others do not).

For anti-theft device theft (GPS tracker, alarm, immobiliser): insurance policies typically cover anti-theft devices as standard accessories. If the anti-theft device was provided by the insurer as part of a telematics or usage-based insurance programme, the claim is typically settled at replacement cost directly with the insurer's telematics partner.

CNG/LPG kit theft: vehicles fitted with CNG or LPG kits require a specific endorsement, as covered in the modification endorsement workflow. If the kit was endorsed, CNG/LPG equipment theft is covered. If not endorsed, the kit is excluded. The AI confirms endorsement status at the FNOL call.

The rental/conveyance benefit is one of the most underutilised motor add-ons — many policyholders who have this cover do not claim it because they are unaware it exists. Kallix's FNOL process includes an add-on confirmation step: 'Your policy includes a daily conveyance benefit of Rs [X]/day for up to [N] days while your vehicle is under repair. Shall I activate this and tell you how to claim it?'

For car rentals: the policyholder can rent from any provider (OLA/Uber monthly rental, local car rental) and submit receipts for reimbursement up to the daily limit. Receipts above the daily limit are absorbed by the policyholder. The AI confirms the reimbursement documentation required: rental agreement or app-based booking confirmation + payment receipts.

For two-wheeler owners: the conveyance benefit is typically a flat daily payment rather than a reimbursement model — the insurer pays Rs 200–400/day for each day the vehicle is in the garage, regardless of actual alternative transport cost. This simplifies the claim: the policyholder only needs to confirm the number of repair days, which the AI tracks from the cashless garage check-in and delivery records.

Maximum days restriction: the conveyance benefit typically caps at 10–15 days. For prolonged repairs (major accident, CTL assessment): if the repair extends beyond the cap, the AI confirms the remaining entitlement at Day 8–9 and advises the policyholder of the cap so they can plan accordingly.

The shift to AI photo-based motor claim survey is the single most impactful operational efficiency in motor insurance — it eliminates surveyor scheduling delays for the 60–70% of motor claims that are straightforward, low-value, and photographically assessable.

Photo survey eligibility matrix: (1) Eligible: single-vehicle accident with visible surface damage, hailstorm damage, parking damage (scrapes, dents), windshield damage, minor flood damage (interior not affected). (2) Not eligible: engine damage suspected (water ingress, major collision), frame/structural damage, total loss possibility, third-party involvement, theft or vandalism, airbag deployment (which indicates severe impact).

The AI photo survey guide asks the policyholder to photograph 6 specific angles: front-full, rear-full, left side, right side, damage close-up, and dashboard (odometer + date showing on instrument cluster). AI image analysis checks for: photo blur, angle compliance, damage visibility, and evidence of pre-existing damage on non-claimed areas. Non-compliant photos trigger an automated re-shoot request within 60 seconds.

Accuracy benchmarks: AI photo survey estimate accuracy vs physical surveyor estimate: within 10% for 78–84% of claims; within 15% for 90–94% of claims. For the 6–10% where the AI estimate diverges by more than 15% from the garage's repair bill, an automatic physical re-survey is triggered — the policyholder is not penalised for the re-survey, and the physical assessment takes precedence.

The photo survey also checks for eligibility red flags: a claim photo that shows the airbag deployed signals high-severity impact — the AI routes this to a physical surveyor regardless of the initially reported damage estimate. Similarly, photos showing significant structural deformation route to physical assessment.

The motor claims ROI case combines cost efficiency, leakage reduction, and policyholder retention into a single platform investment.

Lever 1 — FNOL cost: Rs 120–200 AI vs Rs 450–750 human agent per FNOL. At a mid-size general insurer handling 50,000 motor FNOL calls annually, the AI saving is Rs 1.65–2.75 crore per year. During catastrophe events (monsoon season), the AI's unlimited concurrency handles claim surges without additional staffing.

Lever 2 — Unnecessary claim prevention: the NCB trade-off analysis prevents 12–18% of small claims (repair below the 5-year NCB saving value) from being filed. Each prevented unnecessary claim saves the insurer Rs 8,000–35,000 in claim payments while improving the policyholder's NCB persistence. At 50,000 annual FNOL calls with 20% being small-claim candidates, preventing 15% of those (7,500 claims) at average Rs 12,000 saves Rs 9 crore annually in claim payments.

Lever 3 — Settlement TAT improvement: IRDAI's 30-day settlement deadline is enforced via internal SLA monitoring. Breach avoidance reduces penalty interest (2% above bank rate from intimation date) and IGMS complaints. At a breach rate reduced from 12% to 4% on 50,000 claims, Rs 85,000 average settlement × 4,000 prevented breaches × Rs 4,000 average penalty interest saving = Rs 1.6 crore annual saving.

Lever 4 — Fraud prevention: fraud flagging at FNOL (IIB database check, early claim detection, incident pattern analysis) intercepts fraudulent claims at registration. Each fraudulent motor claim intercepted saves the insurer Rs 85,000–2,50,000 in average claim value.

Lever 5 — Policyholder retention: claim handling quality is the #1 driver of motor policy renewal. A policyholder who experiences a fast, transparent, AI-handled FNOL with an 8-minute registration renews at 18–24% higher rate than one who waited 45 minutes in a call centre queue. LTV impact: 1% improvement in renewal retention on a 1,00,000-policy motor book = Rs 1.4 crore additional annual premium.

Deployment: 5–7 weeks including cashless garage network integration, surveyor panel API, PAS claim module integration, and pilot of 500 FNOL calls before full deployment.