Service
AI Agents & Chatbots
Assistants that answer questions, qualify enquiries and act on your systems.
How it works
From first touch to working outcome
- Customer Question
- AI Agent
- Answer / Qualification
- Action / Handoff
We build retrieval-grounded assistants and task agents that work from your own documents and data, hand off to humans when needed, and are measurable in production.
Teams answer the same questions repeatedly, and generic chatbots either invent answers or frustrate customers into leaving.
Assistants grounded in your own documents and data, with clear boundaries, human handoff and logging so you can see what was asked and answered.
Scope
Capabilities and deliverables
What's included
- Retrieval-grounded question answering
- Lead qualification and routing
- Internal knowledge assistants
- Task agents that call your systems
- Human handoff and conversation logging
Typical deliverables
- Assistant connected to your content sources
- Prompt, guardrail and fallback design
- Conversation logging and review view
- Deployment into your site or channel
Technology
Technology and integrations
Chosen per project. We use what fits the problem and your existing systems.
- LLM APIs
- Vector Search
- RAG
- Webhooks
- PostgreSQL
Work
Relevant projects
AI & GenAIGenAI RAG Document Assistant
Generative AI application that helps users ask questions against uploaded documents using retrieval-augmented generation.
- Python
- LangChain
- LangGraph
- Vector Database
- LLM
- Streamlit
Process
How we deliver it
- 01
Discover
Learn how the business actually runs.
- 02
Design
Settle the experience and the data behind it.
- 03
Build
Ship in small, reviewable increments.
- 04
Launch
Deploy and connect it to everything else.
- 05
Improve
Watch real usage and keep going.
Keep exploring
Related services and reading
Useful next steps if you are still working out what this service should cover.
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