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    MICROSOFT COPILOT STUDIO · CONSULTING & DEVELOPMENT

    Copilot Studio consulting.
    Your agent. Your data. Your rules.

    We consult on, build and operate AI agents with Microsoft Copilot Studio — from the first use case to a production agent in Teams, on your website or in your CRM. Grounded in your content, with human escalation. From Zurich.

    Typically 2–4 weeks to productionGrounded in your dataConsulting & operations from Zurich
    WHAT IT LOOKS LIKE

    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

    WHERE AN AGENT PAYS OFF

    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.

    MORE THAN A CHATBOT

    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.

    WE USE ONE OURSELVES

    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 Agent
    HOW IT WORKS

    Three 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.

    1

    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.

    2

    Build, ground, evaluate

    We build the agent, connect your content, define response policies — and evaluate the answers before anyone sees them.

    3

    Go-live & operations

    Deployment in Teams, on the web or mobile. On request we keep operating the agent: monitoring, policy adjustments, new data sources.

    FAQ

    Common questions about Copilot Studio agents

    That depends on the use case — data sources, channels and integrations vary widely. After the free intro call you receive a written quote with a fixed price for the implementation. Microsoft's licence costs for Copilot Studio come on top; we walk you through them transparently before you decide.

    Typically 2 to 4 weeks from kickoff to production — depending on data sources, integrations and approvals. We put the exact plan in writing in the intro call.

    Microsoft's low-code tool for building your own AI agents. The agent is connected to your data — SharePoint, Dataverse, websites, APIs —, gets response policies and then runs in Teams, on the web or on mobile. You don't need your own LLM-ops team for it.

    The risk can be reduced, but not argued away: grounding anchors answers in approved content and can show sources, evaluations check quality before go-live, and for critical cases the agent escalates to a human. That is exactly how we build every agent.

    Not much: a Microsoft tenant and the content the agent should rely on — SharePoint documents or your website, for example. Sign-in and permissions run via Microsoft Entra ID or external identity providers. Whether your existing licences are sufficient is something we clarify in the intro call.

    Yes, on request: monitoring, policy adjustments, new data sources and further development. The agent runs in your tenant and belongs to you — there is no lock-in either way.
    30-MINUTE INTRO CALL

    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.

    Book an intro call

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