Why agents stall in production
Agents are already widely adopted, but most organizations are still early in taking them from experimentation to full-scale use. The gap between a working demo and a workflow doing real work is where most projects get stuck.
Most organizations use agents somewhere; few have them doing real work
The market has moved past awareness. Most organizations use agents in a pilot or tool. But using them in a pilot and running them in production are different jobs - the gap shows up in the numbers.
88%
of organizations now use agents or copilots in at least one business function
Adoption is near-universal - but impact is not
Source: McKinsey, 2025
39%
of organizations report any enterprise-level EBIT impact from agents
Only about 6% are high performers - those attributing at least 5% of EBIT to agents
Source: McKinsey, 2025
69%
of IT and security leaders say security concerns are slowing autonomous agent adoption
Trust and oversight are deployment blockers, not side issues
Source: Okta, 2026
The production gap
Moving experiments into production is the bottleneck. 62% of organizations are experimenting with agents, but only 23% are scaling them beyond pilots - and 50%+ of agent projects are abandoned after proof of concept.
50%+
of agent projects are abandoned after proof of concept
Gartner Hype Cycle finding, reported by Gartner analyst Arun Chandrasekaran
Source: Gartner, May 2026
23%
of organizations are scaling autonomous agents beyond pilots
62% are experimenting with agents; far fewer reach production scale
Source: McKinsey, 2025
42%
of companies abandoned most of their agent initiatives
The average organization scrapped 46% of agent proofs of concept before production
Source: S&P Global, 2025
80%+
of agent projects fail to deliver their intended value - roughly twice the failure rate of non-agent IT projects
Supports testing on your real cases before launch
Source: RAND, 2024
Why pilots don’t become workflows
- The ERP, CRM, or ticketing system was never wired in
- No rollback path when something goes wrong
- No evidence your team would accept
- No human gate on irreversible actions
- No testing on real cases before launch
- No owner when it drifts after the demo
Why a workflow-first approach works better
- One named workflow, scoped to your systems and your team
- Tested on your real cases - pass or fail, before launch
- Human gates on anything irreversible
- A record your team can defend