Responsibility is unclear
The problem
People use AI outputs without an agreed owner for the outcome or a clear escalation route.
What can improve
Name the responsible people, define permitted actions and agree which decisions require review.
AI Governance
Clear responsibility for AI in everyday work.
Define what AI may do, what information it may use, who reviews important decisions and how problems are corrected. These safeguards form part of how we scope and deliver a project.
Where improvement starts
Information boundaries are not explicit
The problem
A workflow may combine sensitive records without a shared understanding of who may see them or how they should be handled.
What can improve
Define approved sources, role-based access, processing locations and retention requirements. Evaluate private processing options where appropriate.
Quality is judged only by successful examples
The problem
A convincing demonstration can miss incomplete information, unusual cases and the effort needed to correct mistakes.
What can improve
Evaluate representative tasks and foreseeable failures against agreed criteria, with evidence of the reviews and important actions.
Controls drift after launch
The problem
Information, responsibilities and business rules change while the process continues to run.
What can improve
Assign ownership for monitoring, issue handling and review of changes. Keep an operating guide and a usable recovery path.
An illustrative workflow
A new use case with responsibilities agreed before release.
An illustrative sequence for safeguards within a delivery engagement.
- 1
Define the boundaries
Record the intended outcome, permitted information, actions and responsible people.
- 2
Evaluate the work
Check representative cases, access boundaries and exception handling with the agreed reviewers.
- 3
Operate and review
Track issues and changes, retain useful records and agree when the process needs reassessment.
Safeguards shaped around the engagement.
The depth of review depends on the information involved and the consequences of an error. Agree project responsibilities and evidence with the client’s business, security and legal owners where relevant.
How improvement is measured
Agree a baseline and evaluate completed work, including review and correction. Measures depend on the process and the consequences of an error.
- Results of access and action-boundary checks.
- Evaluation outcomes and unresolved issues.
- Completion of required reviews and approvals.
- Time to detect, correct and review a failure.
Which part of your business takes more effort than it should?
Tell us what happens today, where work gets stuck and what you would like to improve.