Agents appear faster than anyone can govern them.
From ungoverned agents to a governed operating model in 90 days. Governance, token economy control and pilots taken safely to production.
Users build their own agents in M365 Copilot, with Copilot Studio and in Foundry. Most organizations don't know what agents run in their tenant.
Growth in active agents in Microsoft 365 over a year
Rise in AI interaction costs ($0.04 → $1.20 per agentic task in an enterprise environment)
Of organizations report a rise in AI-related security incidents
"The question is no longer what AI can do. The question is how you keep it secure, observable and accountable when it starts acting on its own."
Microsoft Agent 365 documentation
Two risks that can materialize fast.
Both are solvable with a working governance model.
Shadow agents
Agents get created with users' own tools. They reach emails, documents and line-of-business systems without the owners knowing. Data leaks go unnoticed until an audit reveals them.
A privacy breach, a notice from the data protection authority, and internal data misuse cases becoming more common.
Surprise costs
Cowork and agents consume Copilot Credit tokens per task. Without budget limits and governance the monthly invoice can be a multiple of the forecast. One user can run hundreds of tasks a week.
A surprise invoice, AI initiatives put on hold, and leadership's trust in follow-up projects lost.
Three phases. 90 days. One goal.
We go through the current state, build the governance model and take one agent to production in a controlled way. Every phase ends in a concrete delivery.
Discovery & Baseline
We go through the tenant together with your team: which fundamentals are in order, which agents already exist, who owns them and what they are used for.
Governance model
We build a governance model that describes: who may create agents, who approves actions, what they have access to and how costs are controlled.
Pilot & Roadmap
Together we pick one agent to take from pilot to production in a controlled way. The governance model gets real use and the roadmap builds on the lessons.
We start from a shared understanding.
Before we make decisions about the governance model, we go through together what is being built and with which tools. Six workshops in which the governance model takes shape.
Agent 365 overview
What Agent 365 is, how the agent registry works, which technologies and controls do what. A live demo in your tenant.
Agent builders compared
Copilot Studio, M365 Agent Builder, Foundry and GitHub Copilot agents. We break down which tool fits which use case.
Copilot Studio hands-on
A practical demo: building an agent with low-code tools. What is possible, and what is not worth doing.
Token economy and cost control
Copilot Credits, the drivers of consumption, where the invoice comes from. What this means for budgeting, and how the FinOps controls work.
Building the governance model
The governance model into practice: roles, responsibilities, escalation paths and decision-making.
Wrap-up workshop
The closing summary: pilot results, lessons and the 12-month roadmap.
Token economy control runs through every phase.
Copilot Credits made Cowork and agents consumption-based. Without active control the monthly invoice runs away fast.
Per user, team and department. Hard limits, soft limits and alerts, tied into the Microsoft Cost Management tools.
Who may consume, on which models, how much. Disable-by-default and approval paths for large budgets.
Which model for which task. Affordable models as the default, premium models for a justified reason.
Costs to the right business unit. Showback now, chargeback later.
No surprise costs. Budget reports to leadership monthly.
We don't measure user counts. We measure value produced per credit consumed.
The same discipline as with Azure consumption. IT, finance and the business speak the same language.
Odd consumption spikes are caught in days, not at the end of the month.
The same governance model scales as Cowork use grows. The foundation is built once, and it supports the whole AI portfolio.
Where you are after 90 days.
Full visibility into agents
You know what runs in the tenant, who owns it and what data gets touched. The shadow agents era is over.
A predictable monthly invoice
Token budgets, limits and alerts running. The bill shock risk is off the table.
A governance model & documentation
Who decides, approves, owns and monitors. Clear responsibilities and escalation paths.
One pilot agent in production
A governed agent that gives you a validated model and concrete metrics for what follows.
A 12-month roadmap
What gets built next, in what order, and who builds it. Decisions with reasoning behind them.
E7 readiness made clear
You know where you stand in relation to Microsoft 365 E7 and what a sensible way forward is.
What you'll have in hand after 90 days.
Continuous Governance.
The governance model is in place, but agents live and grow. The continuation model keeps governance up to date, for a fixed monthly fee.
- ▸ Agent registry oversight
Approval of new agents, cleanup of ownerless agents and lifecycle decisions.
- ▸ Token consumption optimization
A monthly cost report, anomaly investigation and savings recommendations.
- ▸ Governance model updates
Microsoft's new features, policy updates and regulatory changes folded into the governance model.
- ▸ Stakeholder support and quarterly review
Support for decisions and escalations in everyday work. A quarterly workshop: results, lessons and the direction for the next three months.
Does this sound familiar.
Your organization uses Copilot and agents are starting to appear in different teams.
IT needs visibility into the agents before the costs run away.
You want a governance model that enables scaling, not one that blocks it.
Related reading.
Underway in 2 weeks.
Once the agreement is signed, kickoff happens within two weeks and the 90-day clock starts. In a first conversation, we'll nail down the goals and the sizing.