Unlike standalone voice bots that just talk, Kallix is built as a full-funnel automation layer. Each agent is custom-trained on your products, scripts, pricing logic and objection handling. It listens in real time, understands context across long conversations, and decides what action to take next: book the meeting, escalate to a rep, send a follow-up message, or update the deal stage.

A Kallix agent typically replaces three disconnected tools: an outbound dialer, a chatbot, and a CRM data-entry assistant. Because everything runs in one system, no leads slip between the cracks.

Here is the typical timeline we share with new customers after the first call:

• Week 1: Discovery, voice selection, knowledge base gathering, script drafting.
• Week 2: Agent build, integrations wiring (CRM, calendar, telephony, WhatsApp), initial training pass.
• Week 3: Closed pilot with 50–200 sample calls, transcript review, prompt tuning.
• Week 4: Production cutover, live monitoring, dashboard handover.

Simple inbound FAQ agents can be live in under a week. Enterprise deployments with custom telephony and multi-language support typically run 4 to 6 weeks. We share a written timeline with milestones before any contract is signed.

We've designed the onboarding so non-technical founders can complete it. During the discovery call we walk through a structured checklist and most customers can hand over everything inside a shared Google Drive folder. Anything missing, we draft and you approve.

The more representative your training data, the more naturally the agent handles edge cases. Even 20–30 recorded human calls dramatically improve objection handling because the agent learns your team's actual phrasing, not generic templates.

Voice is one of the first decisions in the discovery call. We share a curated shortlist of voices that match your industry and target audience, and you A/B test them on real call snippets before signing off. Indian English, American English, British English, Australian English, Hindi, Hinglish, Spanish, Arabic, French, Portuguese and Mandarin are the most commonly deployed for our customers.

For voice cloning, the cloned voice never leaves your tenant and isn't reused across other Kallix customers. This is a contractual guarantee.

Integration is included in the onboarding fee: you don't pay extra and you don't need engineers. Our team wires the OAuth connections, maps the field schemas, and writes the call-summary template that lands in your CRM after each conversation.

If the tool you use isn't on the native list, we almost always support it through webhooks or Zapier. Tell us during discovery and we'll confirm in writing before the contract.

The pilot fee is credited toward your first month if you continue. We define the success metric together upfront: usually a combination of conversion rate, qualification accuracy and customer-satisfaction score from listened-back calls. If the pilot misses the target, you don't pay the production fee and you keep the recordings and transcripts.

This structure is deliberate. It removes the buy-it-and-hope risk that has plagued voice AI for years, and it forces our team to design the agent for your actual outcomes, not vanity demos.

Escalation rules are configurable per agent. Common triggers we recommend: caller explicitly asks for a human, sentiment drops below a threshold, the topic falls outside the trained scope, or the deal value crosses a number you set. If no human is available, the agent books a callback at a time the caller chooses and immediately pushes that to your CRM and calendar.

The handoff is a true warm transfer, not a cold hand-off. Your rep sees a live transcript panel before they pick up.

Pricing is transparent and scales with usage, not headcount, so you don't get punished for growing. The biggest ROI driver we see across the customer base is recovered leads: businesses typically lose 30–60% of inbound leads to missed calls and slow follow-up. A Kallix agent picks up in under two rings, 24/7, in any language, which materially changes the conversion math.

For a detailed breakdown including per-industry benchmarks, see our pricing FAQ.