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02 / 06AI layer

AI Agents.

Agents that understand a request and act on it — answering, qualifying, booking and routing on your site, inside your product or on the phone.

For: Front desk · Support · Sales · SaaS products

What we build

  1. 01Inbound and outbound voice calling agents
  2. 02AI receptionist for FAQs, lead capture and routing
  3. 03Retrieval (RAG) over your documents and pricing
  4. 04In-app copilots and context-aware support agents
  5. 05Lead qualification that flags hot prospects

03AI calling agents

Every call
answered.
Every next step handled.

Voice agents that pick up, understand what the caller needs, respond naturally and then do the work — booking, routing and writing everything back to your systems.

Call outcome

Appointment
Thursday, 2:00 PM
CRM
Contact and call summary saved
Follow-up
Confirmation text sent
Call complete0:16
  1. Caller

    Hi — I'd like to book an appointment for Thursday afternoon.

  2. AI agent

    Of course. I have 2:00 or 4:30 on Thursday. Which works better?

  3. Caller

    2:00 works.

  4. AI agent

    You're booked for Thursday at 2:00. I'm texting you a confirmation now.

CallerAI agent
Actions0:05Intent: booking0:05Calendar checked0:11Slot reserved0:15CRM updated0:15Confirmation sent
  1. 01Incoming call
  2. 02AI listens
  3. 03AI understands
  4. 04AI responds
  5. 05AI decides
  6. 06Action
  7. 07CRM · Calendar · Follow-up

Simulated call — no audio is recorded or played.

Typical starting points

  • “I want AI inside my product”

    Typical timeline 2 - 4 weeks

    Vector DB / RAG · LLM APIs · Voice agent engine

    Retrieval over internal data, low-latency streaming endpoints and autonomous webhook agents.