Services
AI Governance and Readiness
Make AI use visible, owned and governed.
AI adoption is moving faster than many organisations can govern it.
Executives need to understand where AI is being used, who owns each use case, what information is involved, what decisions have been approved and what evidence exists for review.
Saygili Services helps organisations move from informal AI use towards responsible business use.
The challenge
AI can become a governance issue before it becomes a technology issue
AI use can spread through teams, suppliers and software platforms faster than ownership and decision-making arrangements are established.
The executive concern is not simply whether AI is being used. It is whether the organisation can explain what is being used, why, by whom, with what information, under whose authority and with what controls.
Saygili Services helps leadership teams establish a clearer view of the current position and the governance decisions that require attention.
Suited to
Suitable for growing, regulated and risk-conscious organisations
This pathway is suited to organisations where AI use creates material questions about ownership, data, risk, approval, client confidence or executive accountability.
Particularly relevant where:
- AI tools are already being used informally
- Leaders are unsure which use cases have been approved
- Sensitive or business information may be entering AI tools
- Suppliers or software platforms are introducing AI capability
- Executives need clearer governance before broader adoption
Governance readiness
What the engagement can help clarify
AI use cases and accountable owners
Which AI tools, platforms and capabilities are in use, and who is accountable for each use case.
Decision rights and approval responsibilities
Who has the authority to approve AI use, and whether those decision rights are currently clear and exercised.
Approved, restricted and prohibited use
What has been formally approved, what is informally tolerated and what should be restricted or prohibited.
Data, risk and evidence gaps
Where sensitive or business information may be entering AI tools, and where evidence of governance is absent.
Governance priorities and recommended next steps
Which governance decisions require immediate executive attention and what a practical next step looks like.
Following a confidential fit discussion, the engagement scope and outputs are defined around the organisation's current AI use, decision requirements and governance maturity.
How it works
A practical path from informal use to clearer governance
The purpose is to create enough visibility for executives to make informed governance decisions without turning the engagement into a broad technology implementation project.
Where AI concerns sit inside broader technology ownership or control issues, the appropriate starting point may be the Technology Control Diagnostic.
Clear boundaries
Governance clarity, not legal or technical assurance
AI Governance and Readiness provides executive advisory, governance clarification and decision support. It does not provide the following, which require specialist providers or separately scoped engagements.
- Legal advice
- Privacy advice
- Regulatory certification
- AI model audit
- Technical model validation
- Penetration testing
- Software implementation
- Data science development
- Guaranteed identification of every AI-related risk
- Guaranteed compliance
Where specialist legal, privacy, security, assurance or implementation work is required, that need should be separated and referred or separately scoped.
Related pathways
The outcome
Clearer ownership. Better decisions. More accountable AI adoption.
The objective is to give executives a clearer view of how AI is being used, who owns the relevant decisions, what governance gaps require attention and what should happen next.
Assess your AI governance readiness.
If AI use is becoming visible but ownership, approval or governance remains unclear, start with a confidential fit discussion.