Configured in the open, not hidden in code
Instructions, model choice (GPT or Claude models), knowledge sources: in Copilot Studio, every rule of the agent is there to read. We build it for you — your team can follow every adjustment afterwards.
An agent's instructions, model selection and knowledge sources — source: Microsoft Learn documentation
Getting started: describe the agent, have it built, refine — source: Microsoft Learn documentation
Four use cases we build most often
Start with one clearly scoped case — not with “AI for everything”. In the intro call we pick the one with the fastest payoff.
Internal knowledge assistant
Policies, HR questions, IT support — the agent answers what circulates by email today, with sources from your approved content.
Support chat with escalation
Answers customer questions around the clock and hands over to a human as soon as it matters.
Lead qualification on your website
Qualifies enquiries in the chat and books an intro call directly — instead of a form and waiting.
Customer service with Dynamics 365
A service agent that creates cases directly in Dynamics 365 — no copy-paste between tools.
What separates an agent from a chat window
A public chatbot knows the internet. Your agent knows your policies, your prices, your processes — and its limits.
Grounded in your data
SharePoint, Dataverse, websites, APIs — the agent answers from approved content and can show its sources.
Response policies
You define what the agent may say and what it may not. Not a vibe — a rule.
Authentication built in
Microsoft Entra ID or external identity providers — the agent knows who it is talking to.
One agent, many channels
Teams, web widget, mobile app or directly in Dynamics — built once, deployed where your people are.
Human escalation
Critical decisions belong with people. The agent hands over — with the full conversation context.
Evaluated before go-live
Generative answers get tested and rated before anyone sees them — and monitored after launch.
The Theia Support Agent answers our customers' requests
In our Managed Service, an AI agent handles first-level requests and escalates to a human when needed. We don't sell agents we wouldn't run ourselves — have a look at how it works.
See the Support AgentThree steps to a production agent
Typically 2 to 4 weeks from kickoff to production — the exact plan is fixed in writing in the intro call.
Intro call (30 min, free)
We pick the use case with the fastest payoff, clarify data sources and channels — and you receive a written fixed-price quote for the implementation.
Build, ground, evaluate
We build the agent, connect your content, define response policies — and evaluate the answers before anyone sees them.
Go-live & operations
Deployment in Teams, on the web or mobile. On request we keep operating the agent: monitoring, policy adjustments, new data sources.
Common questions about Copilot Studio agents
Your agent, sketched out — before you commit.
In 30 minutes you know which use case pays off first, which data the agent needs — and what it costs. In writing, no obligation.