Least authority
Each workflow receives only the data and action permissions required for its bounded purpose.
TRUST & GOVERNANCE
Design authority, evidence and recovery before automation scales.
Enterprise trust comes from visible boundaries—not from asking people to trust a model more.
Map this opportunity →THE OPERATING PRESSURE
Why this matters
Operational AI becomes risky when access is broad, approvals are implicit, evidence is missing, exceptions have no owner or rollback is undefined.
CONTROLLED WORKFLOW
What GZP makes visible
Each layer has a clear purpose, boundary and decision owner.
Evidence continuity
Keep the incoming record, extracted fields, validation results, decisions and system response linked.
Exception ownership
Define who receives ambiguous, conflicting, high-value or policy-blocked work—and by when.
Safe recovery
Design idempotency, retries, compensating actions and manual recovery before production execution.
CONTROLLED EXECUTION PATH ACTIVE MODEL
- 01Capture
- 02Interpret
- 03Validate
- 04Approve
- 05Execute
Rules decide whether work can proceed, pause or enter review.
Material ambiguity and high-risk actions enter a controlled state.
Decision context, action and outcome remain visible.
FIRST COMMERCIAL DECISION
Map an opportunity →Security, privacy, retention, integration and compliance claims remain subject to the final deployment scope and customer environment.
THE OPERATING PRINCIPLE
AI interprets. Rules decide. Humans retain authority.
Every material action needs a visible decision path: what the model understood, what policy allowed, who approved, what system changed and whether the intended outcome was achieved.