Use cases

As data use changes, governance needs to keep pace.

From enterprise knowledge to agent requests and external collaboration, clarify what can be used and under which conditions.

Illustrative scenariosConditions need confirmationScope validated individually

Organized by the question

Six starting points for a focused discussion.

These examples describe potential uses, not customer cases, validated sector coverage or promised results.

01

Enterprise knowledge and AI data use

An enterprise is connecting agents or retrieval-augmented generation (RAG) to customer information, contracts, HR files or knowledge bases.

What needs clarification

  • Which content is sensitive, important or restricted
  • Which employees or models may access it
  • Who approves use and what follows a withdrawal

Outcome to discuss

Sources, visibility boundaries and review questions that prepare for controlled access.

02

Analytics and agent actions

Analytics and agents need customer and operational data. Permission given to an employee does not automatically authorize an automated task.

What needs clarification

  • Which fields this task needs
  • Whether purpose and scope are authorized
  • Which actions need human approval and records

Outcome to discuss

Task-specific access conditions, responsibilities and request records, validated within an agreed scope.

03

Industry and equipment data

Equipment records will support internal analysis or an external maintenance provider. They may contain process, personnel or contract-restricted information.

What needs clarification

  • Which information must stay local
  • What the service provider may access
  • Purpose, duration and follow-up responsibilities

Outcome to discuss

Clear boundaries for local processing and external use, without promising diagnostic or predictive outcomes.

04

Operations and quality

Traceability involves production, inspection and customer feedback. Teams need necessary facts without sharing unrelated sensitive information.

What needs clarification

  • The data needed for this review
  • Whether cross-team access is authorized
  • Which content requires preparation or review

Outcome to discuss

Use conditions and execution evidence for internal review, without open-ended sharing.

05

External collaboration and data circulation readiness

An enterprise is preparing an API or another agreed form of data sharing, but scope and recipient responsibilities are not yet clear.

What needs clarification

  • Source and relevant rights
  • What needs data minimization before use
  • Recipients, purpose, duration and withdrawal

Outcome to discuss

Use boundaries, review questions and evidence preparation before collaboration. This does not establish ownership or promise transactions or financing.

06

Governance, audit and regulatory readiness

Policies exist, but a review needs authorization, review and follow-up records around actual use.

What needs clarification

  • Whether requirements correspond to the proposed use
  • Which gaps need evidence or remediation
  • What needs review when conditions change

Outcome to discuss

Relevant use facts, responsibilities and follow-up items for enterprise and qualified professional review.

A testable starting point

Agree the purpose before agreeing the data scope.

Synthetic examples are enough to begin. Connections, control scope and validation criteria are agreed together.