A Copilot Studio agent your teams can keep evolving.
Copilot Studio is Microsoft's platform for building business agents and workflows connected to your data and tools. Built with your teams, understandable and transparent: never a black box. Where an assistant (Level 1) helps a team with a defined task, Copilot Studio supports a more structured agent, with the sources, actions and governance the project needs. Licences, access rights, sharing and data connections are checked during scoping.
Four ways in, depending on your maturity.
Many organisations start with scoping alone. It is often the best investment: it stops a badly framed project before it starts.
Check the case holds
A session to assess your use case: how often the need actually arises, the quality of the sources, the expected gain. With no commitment to go further.
and one technical profile
Build a first agent
A simple agent, built end to end in one day, on an already scoped case with sources available.
from the team involved
Go live
The full format: scoping, source preparation, build, testing and handover. Short sessions spread out.
and a named champion
Roll out several agents
After the first agent, your teams build the next ones themselves, with support on demand.
already trained
From idea to a live Copilot Studio agent, with your teams at every step.
The outline below is the full programme. A one-day working session covers steps 4 and 6 on an already prepared case.
Choosing the right approach before choosing the tool
An agent can be built in several ways, from the simplest to the most advanced. The stakes are there: placing your need at the right level, for a project that is neither oversized nor makeshift.
- Sometimes a simple assistant is enough : a tool that reads a document library and answers questions, set up in minutes. When that is your case, you are told so, and the project stops there.
- Copilot Studio, the subject of this page : for an agent with a precisely defined behaviour, that follows your rules and acts in your other tools.
- Custom development : when the need goes beyond what no-code allows. An AI engineer then joins the engagement, with the same handover standard.
- Answer, act, or both : an agent answers questions, a workflow chains actions, and several agents can cover a single process. That design choice is made at scoping.
- Governance — who creates, who approves, who monitors. A question to settle before the first agent, not after the tenth.
Choosing the right use case
Not every agent idea is worth it, and some don't warrant an agent at all. This step usually saves more than it costs.
- Frequency and volume — a monthly need doesn't warrant an agent; a daily one does
- Nature of the request — recurring questions on a stable corpus, or a task that differs every time
- What belongs elsewhere — a well-organised FAQ, a document template or a simple automation is sometimes enough
- Choosing the first case: the one with the cleanest sources, not the one with the loudest need
Preparing the knowledge sources
An agent answers only as well as what it is given to read. This is the most decisive step, and the most often neglected.
- Source inventory — your document spaces, internal pages and reference files
- Corpus quality — outdated versions, duplicates, contradictory documents: what must be settled before connecting anything
- Access rights — the agent inherits permissions; who should see what
- Formats that work well, and those that don't: scans, complex tables, slide decks
Building the agent in Copilot Studio, with your teams
The build is run with your teams. Together we define what the agent needs to know, say and do; your teams can then evolve it without outside help. On the most advanced cases, an AI engineer joins the mission.
- Its scope : what the agent must do, what it must refuse, and in what tone it answers
- The questions it understands : the requests to recognise, and the different ways of phrasing them
- Its memory : hold information through the conversation, extract a reference or a date
- Its actions : raise a ticket, send a notification, write to a list, directly from the conversation
- Its connections : plug the agent into your business tools (CRM, ERP, document base), so it reads and writes where your data actually lives
- Its engine : the AI model best suited to each task, GPT, Claude, Mistral or another, chosen for your cost, performance and confidentiality constraints, and replaceable without rebuilding the agent
- Its limits : define when the agent hands over to a human instead of improvising
Testing and hardening
An agent that works in a demo often fails on contact with reality. This step prevents the backlash.
- Real scenarios brought by users, not by the builder
- Edge cases — out-of-scope questions, ambiguous phrasing, requests in several languages
- Measuring what fails — misunderstanding rate, off-topic answers, topics never triggered
- Fixing topics, enriching phrasings, adjusting sources
Publishing and handing over
The part that separates an implementation from a delivery. Without it, the agent rarely outlives six months.
- Publishing — in Teams or on your intranet, where your teams work
- Governance — who may modify the agent, and how a change is approved
- Operating documentation — written during the engagement, with your teams
- Reading the metrics — sessions, resolution rate, most-triggered topics, unanswered questions
- Full handover: by the end, your teams add a topic or a source with no outside help
What it looks like, function by function.
A first selection of typical cases. Scoping will tell whether yours calls for an agent or something simpler.
Assistant on HR procedures
Answer routine questions on leave, expenses and internal procedures, drawing on the existing SharePoint documents.
Extraction across a contract portfolio
Query a body of leases: deadlines, specific clauses, obligations per asset, with a link back to the source document.
Assistant on product documentation
Answer field questions from manuals, datasheets and procedures, escalating to an expert when needed.
SEO and GEO article writer
Produce articles aligned with your keywords, your tone and your existing pages — optimised both for classic search and for generative answers (GEO).
Contract drafter
Generate a draft contract from your approved templates and the parameters of the deal, with the mandatory clauses and the points left open for decision.
Assistant on the offer and references
Quickly find a product reference, a pricing condition or a comparable client case in the sales documentation.
“In two seminars, Jonathan showed us the concrete potential of AI for our business. A clear, well-taught approach built on practical cases: directly applicable day to day.”
Frequently asked questions
Microsoft Copilot Studio becomes relevant when a simple assistant is no longer enough: for example, when an agent must use several knowledge sources, follow business rules, call tools, trigger actions or integrate with the organisation’s processes and systems.
Depending on the environment, licences and configuration, a Microsoft Copilot Studio agent can use different knowledge sources: files, SharePoint, OneDrive for Business, public websites, Dataverse, databases and Microsoft or third-party sources through connectors. Sources such as Salesforce, ServiceNow, Confluence, Jira or Azure SQL can be integrated according to the features available.
Yes. Microsoft Copilot Studio is not limited to answering questions. An agent can use tools, connectors, APIs and workflows to read or update information, trigger operations and interact with Microsoft or third-party applications, according to the defined permissions, connections and governance rules.
No. Many use cases can be built with low-code tools in Microsoft Copilot Studio. More specific requirements may nevertheless require connectors, APIs, custom components or development. The architecture should be selected according to the business process and the systems to integrate.
Got a use case in mind? Let's check together that it holds.
Book 30 minutes
A scoping call: your context, your teams, the format that fits best.
Describe your need
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