AI governance consulting
An agreed position on AI use, the people responsible for it, and a process for reviewing decisions as the business changes.
What does AI governance consulting include?
We work with your team to agree which uses of AI are appropriate, what information can be shared, where a person checks the result and who is responsible for each decision. Those decisions become policies, responsibilities and working guidance, shaped by your existing systems, contracts and professional obligations, with a process for reviewing them as the business changes.
AI use often begins with individual tasks. A team member drafts correspondence, summarises a document or tests a new tool. Leadership needs to know which uses are appropriate, what information can be shared and where a person must check the result.
We work through those decisions with your team and turn them into policies, responsibilities and operating guidance. Existing systems, contracts and professional obligations shape the brief.
What the engagement can cover
- AI use and accountability
- An inventory of the uses in scope, named decision-makers and a record of approved tools.
- Policies and data rules
- Working guidance on information handling, acceptable use, output review and escalation, developed around your organisation.
- Supplier and use-case review
- The information needed to assess a proposed tool or workflow, including access, provider terms, dependencies and intended use.
- Adoption and review
- Team briefings, approval records and a review process that follows changes in tools, responsibilities and risk.
Project examples
A working platform and a board-ready policy
A published engagement brought a five-person maritime team onto a governed platform, connected three business tools and delivered an AI Use Policy for board review. Governance reporting became part of the quarterly board papers.
Published project account; the scope and outcome belong to that engagement.
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AI planning for a vessel builder
Six prioritised opportunities, a phased roadmap and an AI governance framework for a government and defence vessel builder.
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Connected maritime operations
A phased roadmap covering recurring operational problems, online payments, CRM integration and client onboarding.
Read project accountHow does an AI governance engagement run?
It runs in three stages. We review current AI use, existing policies and the decisions leadership needs to make. We test draft guidance with the people who will apply it, using practical examples. Then ownership, records, staff communication and review triggers are agreed, so the arrangements stay current.
Understand the starting point
Review AI use, the organisation's existing policies and the decisions leadership needs to make.
Develop and test the guidance
Work through practical examples with the people who will apply the rules. Identify decisions needing specialist advice.
Adopt and review
Agree ownership, records, staff communication and the triggers for reviewing the arrangements.
Governance as the business changes
Continuing support can sit within an AI management system or a scoped governance agreement. Review frequency follows the organisation, the tools in use and the decisions coming up.
- Review new AI uses and material supplier changes.
- Maintain the agreed policy, inventory and decision records.
- Prepare management review material and follow through on agreed actions.
- Brief new staff and address changes in responsibilities or approved tools.
Maritime judgement, organisational scope
Marine businesses handle operational information, client records and supplier relationships across organisational boundaries. The engagement makes those responsibilities explicit. Other sectors can use the same assessment process, adapted to their own obligations and operations.
Questions about AI governance
Where should we start: governance or a Blueprint?
Governance is a focused starting point when the decisions concern acceptable use, accountability or policies. A Blueprint is suitable when leadership also needs to identify opportunities and decide the sequence of investment.
How does this connect to an AI management system?
Governance establishes decisions and accountability. An AI management system connects them to planning, deployment, staff competence, records and continuing review.
Can it use our existing policies?
Yes. We review existing material and identify the additions, changes and approval decisions needed for the agreed AI scope.
Does the service include legal advice?
Kristina is an admitted lawyer. Southern Sky AI provides AI governance and implementation services; the organisation's legal advisers handle matters requiring legal advice.
Do you guarantee compliance or certification?
The engagement defines its scope and supporting evidence. Legal conclusions and certification decisions belong to the appropriately qualified advisers and independent certification bodies.
Discuss your AI governance
Kristina leads the conversation about your business, priorities and scope.