Conversation & experience design
Define the assistant’s responsibilities, channels, tone, and boundaries. Design useful clarification, escalation, and human handover flows.
02 / Automation
AI Copilots & Tool-Using Chatbots
Give customers and teams an assistant that can find answers and take useful, controlled actions.
The opportunity
An assistant that can move work forward.
A useful copilot needs more than a chat window. We connect conversational interfaces to your knowledge and approved tools, so people can get grounded answers, check information, and complete tasks without jumping between applications.
From scope to system
What we build with you.
A focused implementation, shaped around your systems, data, and operating requirements.
Knowledge-connected answers
Retrieve relevant information from approved sources, respect user access, and return citations so people can inspect the underlying evidence.
Controlled tool calling
Connect APIs and MCP tools to check status, create records, or prepare actions. Validate arguments and enforce permissions in the application layer.
Evaluation & feedback
Test answer quality, tool selection, unsafe requests, and handover behaviour against representative conversations before rollout.
An example in practice
Customer service with the context to act.
An illustrative support copilot verifies access, checks an order through an API, retrieves the relevant policy, and prepares the next action. Refunds or exceptions follow your approval policy.
ILLUSTRATIVE USE CASE
01Understand request
02Retrieve policy
03Call approved tool
04Resolve or hand over
Define success early
Measure the work.
Improve the outcome.
We agree on relevant baselines and acceptance criteria before implementation. Depending on your scope, these may include:
- Answer quality and citation coverage
- Correct tool execution
- Task completion and escalation rates
- Latency and cost per conversation
What is the difference between a chatbot and a copilot?
A chatbot is a conversational interface. A copilot usually adds context, retrieval, and tools to support a specific workflow. The useful distinction is what it is authorised and able to do, rather than its name.
Can the assistant use both APIs and MCP?
Yes. Direct API integrations and MCP tools can coexist. We choose the interface based on the target systems, authentication requirements, and client support.
How do you prevent unauthorised actions?
Tool permissions, user identity, argument validation, and approval rules are enforced outside the model. We also test prompt injection scenarios and keep an audit trail of consequential actions.
From ambition to action
Your next advantage
starts here.
Bring us your requirements. We’ll help turn them into a clear scope and a practical path forward.