Rencore
Copilot Studio agent sprawl reaches critical mass: what we see across tenants
A year into general availability, Copilot Studio agent counts in customer tenants are climbing past the point where ad-hoc review keeps up. The sprawl pattern looks identical to Power Apps in 2021, and the cleanup will be similar.
Copilot Studio agent sprawl is the proliferation of low-code AI agents created across business units faster than IT, security, or compliance teams can review them. By Q1 2026, one year after general availability, the agent counts we see in customer tenants are large enough that ad-hoc review has stopped working. The pattern looks structurally identical to Power Apps adoption in 2021, with the same governance debt and the same remediation curve ahead.
Microsoft made Copilot Studio generally available in 2024. By early 2025, business users in customer tenants were experimenting. By mid-2025, the experiments were running in production. By Q1 2026, we are seeing the moment that every low-code platform reaches: more agents in production than the central team can name, let alone review.
This is the Power Apps story repeating, with one important difference. Agents act on data on behalf of users. The blast radius of an ungoverned agent is larger than the blast radius of an ungoverned canvas app.
What the curve looks like in practice
In tenants we scan, the rough shape is consistent: a few dozen agents at launch, two to three hundred by month six, a thousand-plus by month twelve in tenants of 5,000 seats or more. The Power Apps inventories we ran at the same maturity point five years ago looked similar.
Three patterns explain the curve.
Templates make creation cheap. Microsoft’s pre-built agent templates lower the time-to-first-agent to minutes. That is a feature, not a bug, but it removes the natural friction that used to gate citizen development.
Agents create agents. Once one business unit publishes a useful agent, the others copy it. The copy is rarely a fork in a governed sense, it is a duplicate with edits, owned by a different team, pointing to slightly different data sources.
Nobody decommissions. Agents created for a quarterly campaign, a one-off process, or a single user’s experiment stay running. There is no natural end-of-life trigger in the platform. Stale agents accumulate.
The governance debt this creates
Three problems compound as the agent count grows.
Ownership decay. Agents created by employees who have changed roles, left the company, or moved teams have no current owner. Compliance evidence (“who owns this AI system”) is unanswerable.
Data-source drift. Each agent points to one or more sources, SharePoint sites, Dataverse tables, third-party connectors. Over time, those sources get re-permissioned, deprecated, or replaced. The agent keeps pointing at the old location, returning stale answers or failing silently.
Permission accumulation. Agents inherit the creator’s permissions and often request additional connector permissions during setup. A year in, the cumulative permission surface across all agents in a tenant exceeds what any single person was ever authorized to grant.
What governance teams should do in Q2 2026
The cleanup is uncomfortable but well-understood. The same playbook that worked for Power Apps works here, applied earlier in the curve.
Inventory all agents, not just the ones IT created. This includes Copilot Studio agents, declarative agents built in the Copilot Studio low-code interface, and agents shared from third-party Copilot extensions. Rencore inventories all of them, by owner, source, permission scope, and last-used date.
Classify by risk. Not every agent is high-risk. An internal HR FAQ agent and an agent that drafts customer communications do not need the same review depth. A risk-classification policy that scores agents by data sensitivity, user audience, and external reach lets the review effort focus where it matters.
Set lifecycle policies. Agents inactive for 90 days get archived. Agents whose owner has left the organization get re-assigned or removed. Agents pointing at deprecated data sources get flagged. Automation closes the loop without requiring a human to chase each owner.
Tie this to EU AI Act readiness. Every agent in the inventory is potentially in scope for Article 4 (literacy) and the Article 6 through 27 obligations from August 2026. The inventory you build now becomes the compliance evidence later.
The lesson from Power Apps was that the cost of remediation grows non-linearly with the size of the deployed estate. The same will be true here. Tenants that put inventory and lifecycle policy in place at a thousand agents will spend less doing it now than tenants that wait until they have ten thousand.
See how Rencore inventories and governs Copilot Studio agents, or book a demo.
