Home / Reports / Deloitte State of AI 2026

Thank you for reading this post, don't forget to subscribe!

Enterprise Report · The AI Index

Agents Are Scaling Faster Than the Guardrails

Deloitte’s State of AI in the Enterprise 2026 finds AI moving from pilots to scaling — 74% of leaders expect to use AI agents by 2027, yet only 21% have a mature governance model for agentic AI. Here is what the survey of 3,235 leaders says, and why the gap matters.

By The AI Index · Updated Jun 23, 2026 · 5 min read

From ambition to activation

Deloitte’s 2026 edition of its State of AI in the Enterprise report carries the subtitle “From Ambition to Activation: Organizations Stand at the Untapped Edge of AI’s Potential.” It is based on a survey of 3,235 business and IT leaders across 24 countries and six industries, conducted in August and September 2025. The headline shift: AI is moving out of pilots and experimentation and into scaling — but the move is uneven.

Agents go mainstream by 2027

The clearest signal is agent adoption. By 2027, 74% of respondents expect their companies to use AI agents at least “moderately,” 23% expect to use them “extensively,” and 5% expect to fully integrate agents as a core component of operations, according to Deloitte’s survey. And this is not off-the-shelf adoption: 85% expect to customize agents to fit their business’s unique needs, signalling that agents are being treated as core operational infrastructure rather than bolt-on tools.

The governance gap

The problem is what comes with that scale. Only 21% of respondents say their organization has a mature governance model for agentic AI — meaning roughly 80% lack the basics: clear decision boundaries, real-time monitoring, and audit trails. As Deloitte puts it, agents are “scaling faster than their guardrails.” Autonomous systems that take actions — not just generate text — raise the stakes when oversight is thin.

“AI agents are scaling faster than their guardrails.”

— Deloitte, State of AI in the Enterprise 2026

What it means

Deloitte’s prescription is a measured approach. The companies succeeding with agents start with lower-risk use cases, build governance alongside deployment, and scale deliberately rather than racing to integrate autonomy everywhere at once. The gap between the 74% planning to use agents and the 21% with mature governance is, in Deloitte’s reading, the central enterprise-AI risk of the next two years — and the most addressable.

The numbers in full

Metric	Figure
Expect to use AI agents at least “moderately” by 2027	74%
Expect to use AI agents “extensively” by 2027	23%
Expect to fully integrate agents as a core component of operations	5%
Expect to customize agents to their business’s needs	85%
Have a mature governance model for agentic AI	21%
Business and IT leaders surveyed	3,235
Countries / industries covered	24 / 6

Editorial note: All figures are drawn from Deloitte’s State of AI in the Enterprise 2026 survey (3,235 leaders, 24 countries, fielded August–September 2025). This is a summary of Deloitte’s published findings, not independent analysis.

Frequently asked

How many companies plan to use AI agents by 2027?

In Deloitte’s State of AI in the Enterprise 2026 survey, 74% of respondents expect their companies to use AI agents at least “moderately” by 2027, 23% expect “extensive” use, and 5% expect to fully integrate agents as a core component of operations.

How many organizations have mature agentic-AI governance?

Only 21% of respondents say their organization has a mature governance model for agentic AI — meaning roughly 80% lack clear decision boundaries, real-time monitoring, and audit trails, according to Deloitte.

What does Deloitte recommend for scaling AI agents safely?

Deloitte advises a measured approach: start with lower-risk use cases, build governance alongside deployment, and scale deliberately — because agents are “scaling faster than their guardrails.”

Related: Enterprise AI statistics 2026 · AI adoption statistics 2026 · Agentic AI