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Service

AI assistants that know your business, not just the internet

We build chatbots grounded in your catalogue, pricing, policies and systems, with confidence thresholds and clean human handover so a wrong answer never reaches a customer.

Assistants that answer correctly and know when to escalate

Tier-one deflection
60–75%
First response
<10s
Coverage
24/7

Stack: OpenAI · Python · Next.js · PostgreSQL · pgvector · WhatsApp API

Overview

AI Chatbots

A chatbot is only useful if it is right. That means grounding it in your own documents and live systems, constraining what it is allowed to say, and measuring how often it resolves a conversation without a human.

We build retrieval-grounded assistants with typed tool access: checking stock, booking a slot, looking up an order, creating a ticket. Anything outside that scope routes to a person with the full conversation attached.

Deployment covers the channels your customers already use (website, WhatsApp, in-app) and internal assistants that answer staff questions from policy documents and operational data.

Capabilities

What this service actually covers

Customer support assistants

Tier-one resolution from your own knowledge base, with ticket creation and escalation.

Sales & qualification bots

Qualify, quote and book meetings, syncing every conversation to your CRM.

Booking assistants

Real availability, confirmations and reminders for clinics, salons and services.

Internal operations copilots

Staff-facing assistants that answer from SOPs, HR policy and live operational data.

Deliverables

Everything you receive

  • Knowledge base ingestion and grounding setup
  • Conversation design and tone guide
  • Tool and system integrations
  • Escalation rules and human handover
  • Multi-channel deployment
  • Accuracy evaluation suite
  • Analytics dashboard
  • Continuous tuning cycle

Engagement

How it runs

  1. 01

    Scope & sources

    Define the questions in scope and the documents and systems that answer them.

  2. 02

    Ground & constrain

    Build retrieval, tool access and guardrails, then evaluate against real historical conversations.

  3. 03

    Pilot

    Launch to a segment with human review on every answer, and tune from actual transcripts.

  4. 04

    Scale

    Expand channels and scope as measured accuracy and deflection rate justify it.

FAQ

Before you commit

Answers are grounded in retrieved source content and constrained to an approved scope. Below a confidence threshold the assistant escalates instead of guessing, and every answer links to the source it used.

Next step

Talk to us about ai chatbots

Describe the current process and what it costs you. You get a straight assessment, including when the honest answer is that you do not need us.

Replies under 4 business hoursNDA on requestYou own the code