Observe workflows, authority, policies, shadow AI, shadow IT and actual execution paths before changing anything.
Governed delegation · Right Before Action
Your house. Your rules.
AI is welcome to work here — but it doesn’t get to decide what changes.
REHT lets enterprises delegate more work to AI, agents, automation and people while keeping every consequential change governed, authorized and measurable. Move faster without surrendering control.
No rip-and-replaceStart in shadowMeasure before activationAuthority stays with you
The real problem
AI is getting faster. Enterprise control isn’t.
Most organisations respond by adding review, approval and model controls. That creates a new bottleneck: the more AI you deploy, the more AI people are asked to watch.
It’s not about controlling intelligence. It’s about deciding which choices are allowed to become real.
You would not let a fast contractor enter every room, choose any tool and redesign the garden without a brief, boundaries, passes and approval. AI should be no different.
WorkerAI · agent · human · tool
→
Your controlPurpose · scope · authority · consequence
The inversion
Don’t govern every worker. Govern what they are allowed to change.
Workers can be probabilistic, creative and replaceable. Operative consequences are not. REHT puts the stable control boundary where a proposed change can become reality.
Give each worker the right workspace, tools, context and timed authority for the purpose at hand.
Before a consequential state transition commits, re-check that current state, authority, policy and evidence still permit it.
any worker → proposed change → current state + authority + policy → Right Before Action → authorized consequence → evidence
Business result
Safer. Faster. Measurable.
The goal is not more approvals. It is to move human attention away from routine monitoring and toward the exceptions where judgment actually matters.
Primary enterprise demo
See it before you change anything.
EROC Replay lets you observe a realistic enterprise, simulate ACEI governance and measure the difference with zero production consequence.
ZERO CONSEQUENCESynthetic Live → Historical Replay → Live ShadowStart with made-up data. Then stale or anonymised exports. Only then connect a read-only live source. Same pipeline, increasing reality, no production write access until you explicitly promote a bounded action class.
01Observe
02Simulate
03Measure
04Promote
05Execute when authorized
For CTO · CISO/CSO · Enterprise Architecture · ITSM
The executive story and technical trace use the same event and the same evidence. Drill into candidate state, governed workspace, fresh authority, VAIG evaluation, reht authorization, deterministic RACS outcome, external PEP boundary and receipt.