Service

AI Chatbot Development

We build branded AI assistants that live on your domain — trained on your docs, connected to your tools, and measured against real support and conversion metrics.

Whether you need a customer-facing help bot, an internal knowledge assistant, or a sales qualifier on your site, we handle prompt design, retrieval, guardrails, and the React or Next.js interface your users actually see.

What's included

Everything we deliver on this engagement

  • Use-case discovery — support, sales, onboarding, or internal ops
  • Knowledge base ingestion from docs, Notion, PDFs, or your CMS
  • RAG pipeline with vector search (Supabase, Pinecone, or self-hosted)
  • GPT-4 and Claude integration with tool calling and escalation rules
  • Custom chat UI embedded in Next.js, React, or React Native apps
  • Human handoff to email, Slack, or your existing helpdesk
  • Analytics — resolution rate, deflection, and conversation quality
  • Ongoing tuning, eval datasets, and safety guardrails post-launch

Our process

How we deliver ai chatbot development

  1. 01

    Define success metrics

    We agree what good looks like — tickets deflected, leads qualified, or time saved — before writing a single prompt.

  2. 02

    Prepare your knowledge

    We structure and index your content, set retrieval rules, and test answers against real customer questions.

  3. 03

    Build & integrate

    Python or Node.js services power the agent; your site gets a fast, on-brand chat with streaming responses.

  4. 04

    Evaluate & improve

    We run evals on edge cases, add guardrails, and ship weekly improvements from live conversation data.

Tech stack

Tools we use for ai chatbot development

  • GPT-4
  • OpenAI API
  • Python
  • Node.js
  • Next.js
  • React.js
  • Supabase
  • Firebase

FAQ

Common questions about ai chatbot development

How much does custom AI chatbot development cost?
A production chatbot with RAG, custom UI, and one integration typically starts around $12k–$28k. Enterprise deployments with SSO and compliance review are scoped separately.
How long does it take to launch an AI chatbot?
Most client-facing bots go live in 4–8 weeks. Internal assistants with simpler scopes can ship in 3–5 weeks.
Can the chatbot use our own documents and Notion workspace?
Yes. We connect Google Drive, Notion, Confluence, and help-centre URLs into a retrieval layer that cites your actual policies and product docs.
Will the chatbot hallucinate or go off-brand?
We reduce that with retrieval-first design, tone-aligned prompts, blocked-topic rules, and eval suites you approve before go-live.

Ready to scope ai chatbot development?

Tell us about your product, timeline, and constraints. We reply within one business day with next steps — no generic pitch deck.

Ready when you are

Your next big launch
starts here.

Book a free 30 minutes discovery call — we'll map your idea, timeline, and the fastest path to ship.

Times are shown in your local timezone. We're remote-first and timezone-flexible — pick any slot that works for you.