Voice & Chatbots

Conversational AI that resolves, not deflects

We build voice and chat assistants for support and sales that are grounded in your actual knowledge base and wired into your actual systems: checking an order, booking a slot, updating a record. The goal is resolution on first contact, with clean escalation to humans when the conversation warrants it.

Support & sales botsVoice + chatGrounded answers
Quick answer

Conversational AI development for support and sales: chat and voice assistants grounded in your knowledge base, integrated with your systems.

Chatbots that customers hate

Everyone has fought a chatbot that understood nothing and trapped them in a loop, because it was a keyword script wearing a chat window. Modern conversational AI grounded in your real documentation and connected to your real systems is a different product entirely, but only if the grounding and integration work is actually done.

What we build

  • Support assistants grounded in your help docs, policies, and product data
  • Sales assistants that qualify, answer, and book meetings
  • Voice variants of the same assistant for phone channels
  • System integrations so the bot acts: orders, bookings, account changes
  • Escalation flows that hand humans the full conversation context

How we work

  1. Mine your real support and sales conversations for the top intents

  2. Ground every answer in retrieval over your own content

  3. Integrate the actions that turn answers into resolutions

  4. Measure resolution and satisfaction, not just deflection

Typical stack

LLM conversation layerRAG pipelinesVoice AICRM / helpdesk APIsAnalytics

Frequently asked questions

Answers are grounded in retrieval over your approved content, and the assistant is instructed to escalate rather than improvise when confidence is low. We test against your hardest real tickets before launch.

Usually chat first: it is faster to iterate and easier to review. Voice reuses the same grounded brain once the conversation quality is proven, which is also how our AI receptionist work is layered.

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