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.

Discuss this workflow →
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.

01

Least authority

Each workflow receives only the data and action permissions required for its bounded purpose.

02

Evidence continuity

Keep the incoming record, extracted fields, validation results, decisions and system response linked.

03

Exception ownership

Define who receives ambiguous, conflicting, high-value or policy-blocked work—and by when.

04

Safe recovery

Design idempotency, retries, compensating actions and manual recovery before production execution.

CONTROLLED EXECUTION PATHILLUSTRATIVE MODEL
  1. 01Capture
  2. 02Interpret
  3. 03Validate
  4. 04Authorise
  5. 05Complete
POLICY CHECKAuthority within boundary

Rules decide whether work can proceed, pause or enter review.

EXCEPTION PATHHuman authority retained

Material ambiguity and high-risk actions enter a controlled state.

OUTCOME RECORDEvidence linked to work

Decision context, action and outcome remain visible.

FIRST COMMERCIAL DECISION

Security, privacy, retention, integration and compliance claims remain subject to the final deployment scope and customer environment.

Map an opportunity →
TRUST & DATA

Know what happens to the data before it moves.

The operating model explains how decisions should be controlled. Provider, security and data-handling facts must be confirmed for the selected deployment; this page does not establish a universal hosting, retention or model-training policy.

A deployment-scoping map

Illustrative only. Use this map to identify the actual services, data recipients and deletion points.

  1. Approved inputsMessages, files or records selected for the workflow
  2. InterpretationGZP services and any selected model provider
  3. Rules and reviewValidation, approval and exception decisions
  4. System boundaryPermitted actions and confirmed responses

Across the path: identify evidence records, logs, support access and backups. Set retention and deletion rules for each data class, including copies held by providers.

01

Data and purpose

Which inputs, extracted fields, prompts, outputs and operating records are needed? Where does each travel, and for what purpose?

02

Providers and model use

Which model providers and subprocessors receive data? What do their selected services and contracts allow for training, monitoring and storage?

03

Retention and deletion

What periods apply to inputs, derived records, prompts, logs and backups? Who handles deletion requests, termination and any exceptions?

04

Access and protection

Which users, support staff and services have access? Confirm tenant boundaries, identity controls, encryption and key management for the actual deployment.

05

Location and terms

Where is data processed and stored? Confirm provider regions, transfer arrangements and applicable contractual requirements.

06

Evidence and incidents

Which decisions and system responses are recorded? Confirm log access and export, retention, incident contacts and recovery responsibilities.

For this opportunity form

The form requests contact details and a workflow summary, asks for consent, and creates a reference when saving succeeds. Share only a high-level description of the evidence available. Do not submit credentials, confidential records or customer personal data.

Before sharing operational evidence, request the applicable privacy terms, recipients, retention and deletion process through your GZP contact. The questions above are a review checklist, not a privacy notice or certification.

Review deployment responsibilities
RECOVERY IN PLAIN LANGUAGE

A timeout is not proof that nothing happened.

Prevent duplicate effects

Idempotency means recognizing the same action on retry so it does not create a second order, booking or charge. Verify that the selected integration supports this behavior.

Reconcile uncertain outcomes

If a system may have accepted an action, retain its original identity and check its status before retrying or replacing it. Route unresolved outcomes to the accountable owner.

Correct with authority

A compensating action offsets a completed step. It may require approval and may not fully reverse the original effect; define a manual recovery path too.

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.