Personal data governance becomes more complex when AI is involved because information can appear, move, and be reused in less obvious ways. This service is a UK focused orientation that helps teams build shared awareness of the main privacy and data governance touchpoints in AI work, and develop a consistent approach to documentation, oversight, and change control. The aim is clarity and confidence in internal decision making, not legal interpretation.
Who it is for
- Decision makers who need a clear view of data governance expectations in AI use across the organisation
- Product, data, engineering, security, governance, risk, compliance, legal, and data protection teams working on AI enabled services
- Organisations buying AI tools or AI enabled services that involve user inputs, monitoring, analytics, or personalisation
- Teams that need a common language and a repeatable internal approach as systems and suppliers evolve
What this session covers
- How information can enter and circulate through AI work, including training or fine tuning datasets, user interactions, outputs, evaluation materials, and operational records
- Common points of uncertainty in AI projects, including reuse of content, prompt and output handling, and logging and retention choices
- Governance signals that matter for responsible AI use, including transparency style expectations, accountability routines, and meaningful human oversight
- A minimum documentation set that supports clarity and auditability, including what to record and how to keep it up to date
- Managing change in AI systems, including model updates, prompt changes, feature expansion, monitoring settings, and supplier updates
- Supplier and supply chain visibility, including what to ask vendors and what to track over time to avoid unmanaged drift
- Tracking and identifier issues that often arise in AI enabled products, including cookies and similar technologies where relevant
- Practical review routines to keep the approach consistent, including periodic checks, ownership, and escalation triggers
What you will gain
- A clear map of the AI use case and the main data touchpoints that need attention
- A simple internal approach for handling prompts, outputs, evaluation artefacts, and operational logs in a consistent way
- A minimum set of records and checks that support defensible decision making and reduce confusion
- A structured approach to change control so governance stays aligned as the system develops
- Shared understanding across functions that reduces friction and speeds up internal sign off
- Delivery options
- Leadership orientation. A short focused session with time for questions and next step decisions
- Team orientation. A wider cross functional session to build shared understanding and agree a consistent approach
How to book
- Contact AIJurium by email or phone to request a slot
- Dates and times can be agreed by phone or email
- Quotes are issued by email only
- Booking is confirmed when payment is received in advance
- Delivery is remote or on site in the UK, depending on your preference
Disclaimer. This service provides awareness and decision support only. It is not legal advice, not technical implementation, and not vendor selection or supplier recommendation. You remain responsible for your decisions, compliance obligations, and any required assessments.