AI Agent Sprawl: Why IT Teams Can't Ignore It

Jul 23, 2026 6 min read
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Key Takeaways

  • AI agent sprawl is the rapid, ungoverned accumulation of AI agents across an organization, spanning Microsoft 365, Google Workspace, Power Platform, Salesforce, and standalone AI tools.
  • 35% of organizations already use agentic AI and another 44% plan to soon (MIT Sloan Management Review and BCG), which is why sprawl is accelerating.
  • IT teams cannot ignore sprawl because every agent is an identity with data access, making each one a security, compliance, and cost surface.
  • Agent visibility is the precondition for AI governance: you cannot govern, secure, or right-size what you cannot see, so the order is inventory first, then ownership, then policy.
  • Most retirement decisions come down to three numbers: invocations per month, number of distinct users, and time since last use.
  • Sprawl mitigation runs through one four-step path: inventory, ownership, environment-scoped policy, and automated retirement.
  • AvePoint AgentPulse gives IT a single inventory of every agent across Microsoft 365, Google Workspace, and multi-cloud environments, tying each to a named owner, usage pattern, and risk score.

Agentic AI is rapidly gaining traction in the enterprise. According to a joint study by MIT Sloan Management Review and Boston Consulting Group (BCG), 35% of organizations are already using it, while another 44% plan to do so soon. As adoption accelerates, many organizations are encountering a growing challenge: AI agent sprawl.

AI agent sprawl is the rapid, ungoverned accumulation of AI agents across an organization. It happens because low-code platforms make agents easy to create, business users build them faster than IT can catalog them, and unused or duplicate agents are rarely retired. IT teams cannot ignore it because every agent is an identity with data access — and unmanaged identities with data access are how breaches and compliance failures start.

Agent visibility is the precondition for anything else: You cannot govern, secure, or right-size what you cannot see.

What Is AI Agent Sprawl?

AI agent sprawl is the unchecked growth of AI agents across Microsoft 365, Google Workspace, Power Platform, Salesforce, and standalone AI tools. Each agent is an autonomous or semi-autonomous identity that can read data, take action, and be invoked by users. Sprawl means most of those agents are unaccounted for.

The pattern looks like shadow IT but compounds faster. A team builds an agent for a workflow. The next team copies it and modifies it. The third team builds a competing version. None of them is retired. Within months, an organization has hundreds of agents, dozens of duplicates, and no inventory.

Why Can't IT Teams Ignore AI Agent Sprawl?

IT teams cannot ignore agent sprawl because every agent is a security, compliance, and cost surface. Sprawl turns each of those into an unbounded liability.

  • Security. Agents have identities and data access. Unmanaged agents create an attack surface that IT cannot defend.
  • Compliance. Agents that bypass governance also bypass label policies, retention, and audit. Regulators are not interested in "we didn't know it was there."
  • Cost. Unused and duplicate agents consume licenses and compute without producing value. Agents can use inefficient, inexpensive or incorrect APIs and models exploding costs
  • Operational risk. When an agent breaks or behaves unexpectedly, IT needs to know which agent, who owns it, and what it touches. Sprawl increases the complexity of search and containment.

Why Is Agent Visibility the First Step in AI Governance?

Visibility is the first step because every other governance control assumes you know what exists. Access controls, data loss prevention (DLP) policies, ownership requirements, and retirement workflows all depend on having an accurate inventory.

Most organizations underestimate this. They start with policies like "every agent must have an owner" and only later realize they cannot find half the agents the policy applies to. The right order is inventory first, then ownership, then policy.

How Does Avepoint’s AgentPulse Give IT Teams a Unified View of Every Agent?

AvePoint’s AgentPulse provides a single inventory across Microsoft 365 (including Copilot Studio agents), Google Workspace, and multicloud environments. It surfaces every agent, ties each to a named owner, and shows what data the agent reaches and how often it is used.

AgentPulse exists because native admin tools surface agents per environment, not per organization. An IT team needs the cross-environment view to govern AI at all.

How Should IT Teams Assess Which Agents Deliver Value?

Usage data is the simplest signal. Agents that are invoked rarely or never are sprawl. Agents invoked frequently by a small group are likely high-value workflow assistants. Agents invoked frequently across many groups are organizationally important and need the strictest governance.

Most agent retirement decisions come down to three numbers: invocations per month, number of distinct users, and time since last use. An agent that meet all three thresholds is a retirement candidate; the owner gets notice, then the agent goes.

How Do You Mitigate the Risks of Agent Sprawl?

Mitigation runs through the same four-step path that fixes other governance problems: see what exists, assign ownership, apply policy, and automate retirement.

  • Inventory. Continuous discovery across every environment that hosts agents.
  • Ownership. A named human owner accountable for each agent.
  • Policy. Connector and DLP policies that apply to the environment, not the individual agent.
  • Retirement. Usage-based deactivation, owner attestation, and a clean retirement workflow.

How Does Agent Visibility Support Healthy AI Adoption?

Visibility lets IT say yes to AI adoption. With a real inventory, IT can identify which agents work; scale them, retire the ones that do not, and let business units build with confidence — because someone is watching the fleet.

Without visibility, IT defaults to restriction. With visibility, IT defaults to enablement plus oversight, which is what most organizations actually want.

Frequently Asked Questions

What is AI agent sprawl?

AI agent sprawl is the unchecked growth of AI agents across an organization, across Microsoft 365, Google Workspace, Power Platform, and other tools. Each agent is an identity with data access; sprawl means most are unaccounted for.

Why is AI agent sprawl a problem for IT teams?

Every agent is a security, compliance, and cost surface. Unmanaged agents create attack surface, bypass governance, consume licenses, and complicate incident response. IT cannot defend or audit what it cannot see.

How do you control AI agent sprawl?

Control runs in order: continuous inventory across environments, named ownership for each agent, environment-scoped DLP and connector policies, and automated retirement of unused or duplicate agents.

What is agent visibility in AI governance?

Agent visibility is having a continuous, accurate inventory of every AI agent across every environment, with each agent tied to a named owner, a usage pattern, and a risk score. It is the precondition for every other governance control.

What is AvePoint AgentPulse?

AvePoint’s AgentPulse is a command center for AI agent visibility and governance across Microsoft 365, Google Workspace, and multi-cloud environments. It surfaces every agent, tracks ownership and usage, and supports retirement of agents that do not deliver value.

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Rachel Simon

Rachel Simon is Sr. Director of Product Marketing at AvePoint, where she is a leader of GTM strategy across the AvePoint Confidence Platform. With nearly 20 years in B2B SaaS and a strong background in both corporate and data governance, Rachel is passionate about helping organizations embrace the excitement of AI — while ensuring they scale safely with the right guardrails. She's fueled by connecting with customers and turning those insights into product innovation and messaging that move the needle for customers.