Agents in production, run to a service standard.
Everyone's piloting agents. Almost nobody's running them the way they'd run any other part of the operation: with an owner, a service level, and a record of what happened.
of desk workers had AI output redone last month.
HBR, 2025of agentic AI projects will be cancelled by 2027.
Gartner, 2025of organisations have had an agent exceed its intended permissions.
Cloud Security Alliance, 2026- Automations and tools rebuilt separately by every team that needs them
- AI output that has to be checked and redone, eating the time it was meant to save
- Agents running with no named owner and no defined scope
- No consistent way to measure whether an AI workflow is actually working
- A trained agent team with a named human owner on every workflow
- Every agent scoped, capped and identity-managed — checked weekly, stopped fast if it's not working
- A value register: task, outcome, cost, time saved, by workflow
- Deployment in your cloud or ours, monitored by you or by GenWA
Most operations leaders start by seeing which jobs are already good candidates — the agent catalogue shows what's built, tested and ready to deploy.
Find out where your AI stands. Then decide.
Under a minute, an upload, or a visit. Something for the board either way.