AI Agent Adoption Statistics: Everywhere in Pilots, Almost Nowhere in Production

Two large 2026 studies, run independently by companies with nothing in common commercially, land on the same finding: adoption of AI agents is close to universal and production use is rare.

The figures below come from the primary reports rather than from coverage of them. Where the source contradicts itself, that is noted.

Key takeaways

• 71% of organizations use AI agents, and only 11% of use cases reached production in the past year, per Camunda’s 2026 State of Agentic Orchestration and Automation.
• 82% report limited to moderate agent adoption, per Okta’s Businesses at Work 2026. Almost nobody describes themselves as running agents at scale.
• 78% call controlling non-human identity access a top concern, and 10% have a strategy for it. The gap between worry and plan is the widest number in either study.
• 73% admit a gap between their agentic AI vision and current reality, which is a striking thing for a company to say out loud in a survey.
• Both studies are enterprise. Camunda surveyed organizations with more than 1,000 employees, so these figures describe large companies and say nothing about what a twenty-person one is doing.

The adoption numbers

Camunda commissioned Coleman Parkes to survey 1,150 senior IT decision makers, business decision makers and enterprise software architects at organizations with over 1,000 employees, split across the US, UK, France and Germany, between 23 September and October 23, 2025.

Their headline: 71% of organizations state they use AI agents, while 11% of agentic AI use cases reached production in the last year.

Okta’s Businesses at Work 2026 reports the same shape from a different angle: 82% describe their AI agent adoption as limited or moderate. Not zero, and not at scale.

Put together, the picture is a category where trying agents is now normal and shipping them is not.

Why they stall

Both reports point at governance rather than capability. Nobody in either study says the agents cannot do the work.

Camunda’s respondents cite trust: 84% worry about the business risk of AI in day-to-day processes when IT lacks appropriate controls, 80% are concerned about a lack of transparency into how AI is used, and 66% cite compliance concerns.

Okta’s version is sharper because it measures preparedness rather than sentiment. 78% call controlling non-human identity access and permissions a top concern. Only 10% have a strategy for governing them.

That pairing is the most useful number in either report. Agents act through service accounts and machine identities, and by Okta’s measure nine out of ten organizations worried about that have no plan for it.

What agents are actually doing

Where agents are deployed, they are mostly not doing the hard part. Camunda reports that 80% say most of their AI agents are chatbots or assistants that summarize or answer questions, rather than handling mission-critical cases, and 48% say their agents operate in silos, disconnected from end-to-end business processes.

This is the finding that should temper the adoption headline. “We use AI agents” and “an agent runs part of our business” are different claims, and the first is being reported as though it were the second.

The automation context

Neither report suggests automation itself is stalling. Camunda finds 95% of organizations saw increased business growth from process automation in the past year, up from 87%, with organizations having automated 48% of their processes on average and believing they could reach 64%. 79% plan to increase automation spend, by an average of 20% over two years.

So the gap is specific to agents. Deterministic automation is working and being funded. Agentic automation is being piloted and held back at the governance gate.

How much to trust these numbers

Both are vendor-commissioned. Camunda sells agentic orchestration and Okta sells identity. Each report’s conclusion happens to be that you need more of what the sponsor sells. The underlying figures still appear to be the best available on the question, and the two agreeing from different commercial motives is more persuasive than either alone.

Okta’s summary page contradicts itself. The body states access requests “surged more than 12x” over two years, while the FAQ on the same page says “8-11x”. We quote the body figure and flag the discrepancy rather than picking whichever is more dramatic.

Enterprise only. Camunda’s sample is 1,000-plus employee organizations. Okta’s data skews to companies large enough to run enterprise identity. There is no equivalent study of small teams, which is a genuine hole in what is publicly known.

“Use AI agents” is doing a lot of work. Neither study defines it tightly, and Camunda’s own finding that 80% of agents are chatbots suggests the bar is low.

Why this matters if you are choosing tools

The practical read: pilots are cheap and production is expensive, and the expense is governance rather than license cost. If you are evaluating anything agentic, the questions that decide whether you join the 11% are about permissions, auditability and what the agent is allowed to do unsupervised, not about model quality.

That is also why an approval step matters more than it sounds. An agent that drafts and waits is deployable under governance that an agent which acts unilaterally is not.

Frequently asked questions

What percentage of companies use AI agents?

71% of organizations state they use AI agents, per Camunda’s 2026 State of Agentic Orchestration and Automation. Okta’s Businesses at Work 2026 separately finds 82% report limited to moderate adoption.

How many AI agent projects reach production?

11% of agentic AI use cases reached production in the last year, according to Camunda’s 2026 report.

What is stopping AI agents reaching production?

Governance rather than capability. 84% cite business risk without appropriate IT controls, 80% cite lack of transparency, 66% cite compliance. Okta finds 78% concerned about non-human identity access, with only 10% having a strategy for it.

What are most AI agents actually used for?

Summarizing and answering questions. Camunda reports 80% say most of their agents are chatbots or assistants rather than systems handling mission-critical cases, and 48% say agents run in silos outside end-to-end processes.

Are these statistics about small businesses?

No. Camunda surveyed organizations with more than 1,000 employees, and Okta’s data reflects companies running enterprise identity. No comparable study of small teams appears to exist.

Is automation as a whole slowing down?

The opposite. Camunda reports 95% of organizations saw business growth from process automation, up from 87%, with 79% planning to increase spend. The stall is specific to agentic use cases.