Governance

AI use-case governance registry

Proposed AI use can proceed before the business owner, task boundary, data risk, human responsibility and monitoring plan are explicit.

Business problem

Proposed AI use can proceed before the business owner, task boundary, data risk, human responsibility and monitoring plan are explicit.

What teams see

  • Work waits between submit ai use case and identify business owner.
  • Owners reconstruct status from Web forms and Cloud storage.

Why it happens

  • No shared state spans Web forms, Cloud storage, Jira.
  • Decision and exception rules are applied inconsistently.

Why it becomes expensive

  • Capacity is consumed by coordination and rework.
  • Late exceptions weaken visibility and service quality.

Business outcomes

  • Shorter create monitoring record cycle
  • Fewer handoff and missing-information exceptions
  • Clear ownership from submit ai use case to create monitoring record
  • Inspectable decisions and recovery

Measurable KPIs

  • Turnaround time: Elapsed time from submit ai use case to create monitoring record.
  • Manual intervention rate: Share of items needing a person outside defined review conditions.
  • Exception age: Time unresolved exceptions remain without a completed action.
  • Successful completion rate: Share of valid workflow items completing without terminal failure.

How the workflow works

  1. Submit AI use case — Accept and identify the ai use-case governance registry trigger. Web forms
  2. Identify business owner — Execute identify business owner with validated sample data and an auditable result. Web forms
  3. Define task boundary — Execute define task boundary with validated sample data and an auditable result. Cloud storage
  4. Assess data use — Execute assess data use with validated sample data and an auditable result. Jira
  5. Set human review policy — Execute set human review policy with validated sample data and an auditable result. SEIDO Review Queue
  6. Assess operational risk — Execute assess operational risk with validated sample data and an auditable result. Cloud storage
  7. Governance approval — Execute governance approval with validated sample data and an auditable result. SEIDO Review Queue
  8. Create monitoring record — Execute create monitoring record with validated sample data and an auditable result. Web forms
  9. Audit and KPI update — Persist the execution outcome, audit facts and workflow measurement events. SEIDO execution store

Integrations and ownership

  • Web forms: Provide workflow input
  • Cloud storage: Lookup and update context
  • Jira: Receive controlled outcome

Human responsibility: Governance manager

Failure and recovery

Web forms is temporarily unavailable.

Retry with capped exponential backoff; preserve the run and move it to the inspectable failure queue after the limit.

Required data for identify business owner is malformed or missing.

Stop downstream actions and show the missing fields, source evidence and correction action to the named reviewer.

The trigger or provider event is delivered more than once.

Return the existing execution identified by the idempotency key and do not repeat downstream business actions.

The human decision expires before completion.

Escalate to the configured substitute, retain the original request and record both expiry and reassignment.

When not to build this

  • Monthly volume is too low to justify integrating Web forms, Cloud storage, Jira.
  • An existing configured platform already handles ai use-case governance registry with adequate ownership and reporting.
  • Reliable source data or supported API access is unavailable.
  • No business owner has authority to define the decision and exception rules.

Related workflows

Intelligent inbound lead routingLeads arrive through disconnected forms, inboxes and campaigns and are assigned too slowly or to the wrong owner.Lead qualification and account-fit workflowSales representatives spend valuable time manually investigating prospects that do not match the commercial profile.Sales discovery to structured CRMImportant details from discovery calls and notes do not reach the CRM consistently, weakening follow-up and forecasting.