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AI Studio

Service

AI Agents & Chatbots

Assistants that answer questions, qualify enquiries and act on your systems.

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How it works

From first touch to working outcome

Customer question to AI agent to answer and qualification to action or handoff
  1. Customer Question
  2. AI Agent
  3. Answer / Qualification
  4. Action / Handoff

Outcome

What this looks like when it is live

What you receive

AssistantOnline
Do you build booking systems?
Yes — booking, reminders and payment links can all be part of one flow.
Tool called: check_availability
Can I speak to someone?
Handed to a human · conversation history attached
Concept interface: an AI agent answering a question, calling a tool, then handing over to a person. Interface concept of a chat window: a customer question, an AI answer, a tool call indicator and a handover to a human with conversation history attached. Example data only.

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.

Concept render of an AI agent pursuing a goal, reasoning, using connected tools and returning a result.
Goal, reasoning, tools, action, result.
The problem

Teams answer the same questions repeatedly, and generic chatbots either invent answers or frustrate customers into leaving.

What we do

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

Process

How we deliver it

  1. 01

    Discover

    Learn how the business actually runs.

  2. 02

    Design

    Settle the experience and the data behind it.

  3. 03

    Build

    Ship in small, reviewable increments.

  4. 04

    Launch

    Deploy and connect it to everything else.

  5. 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.

Have an idea? Let's build it.

Tell us what you're trying to improve, automate or build.

Start a ProjectHow we scope and quote