Your team may already be using AI. Make sure the risk is owned.
A practical AI governance review for leadership teams that need clear ownership, policy, controls, vendor oversight and board-ready accountability before AI usage expands.
The decision this helps you make
Is AI being used safely, lawfully and accountably across the business?
Clarify who owns AI risk, outputs, review, exceptions, vendor use and escalation.
Check whether AI usage rules, human review, data restrictions and approvals are clear.
Identify AI risks across privacy, security, confidentiality, bias, quality and vendor exposure.
AI does not wait for your governance model to catch up.
Staff can already access public AI tools. Vendors are adding AI features into everyday platforms. Teams may be entering client, employee or confidential data before leadership has set the rules.
The risk is not only that AI gives the wrong answer. The bigger risk is that nobody can say who approved the use case, what data was used, who reviewed the output, or what would happen if something went wrong.
AI governance gives the business a way to use AI with control, evidence and accountability.
Uncontrolled AI use is already happening.
The question is whether leadership has visibility, policy and ownership around it.
Client and personal data need boundaries.
AI usage needs clear rules around sensitive information, confidentiality and human review.
Boards need evidence, not reassurance.
Good governance creates a documented view of risk, controls, ownership and next actions.
One focused review. Five governance outputs.
This is a practical governance review designed to make AI usage visible, controlled and accountable.
Included in the package
AI Governance Review
A focused engagement that identifies how AI is being used, where governance is missing, and what controls the business needs next.
AI usage map
A practical view of where AI is being used, proposed or embedded across teams, vendors and tools.
Policy and ownership review
A review of current rules, responsibilities, decision rights, approvals, exceptions and escalation points.
AI risk register
A structured view of risks around privacy, security, confidentiality, vendor reliance, accuracy, bias and misuse.
Control recommendations
Clear actions for human review, data restrictions, tool approvals, vendor checks, auditability and reporting.
Governance action plan
A prioritised roadmap for making AI usage safer, clearer and more accountable.
From informal AI usage to governed AI adoption.
The review gives leadership a clear picture of current exposure and the practical steps needed to control it.
Discover current AI use
We identify where AI is already being used, where it is being considered, and where vendors may have introduced AI features.
Review policy, ownership and controls
We assess whether the business has the right usage rules, decision rights, human review and approval processes.
Identify risk and gaps
We document gaps across data use, confidentiality, privacy, security, vendor risk, accuracy, auditability and accountability.
Create the governance roadmap
You receive prioritised actions for policy, controls, ownership, reporting and safe AI adoption.
A good fit when AI risk is becoming a leadership issue.
Good fit if…
Not the right fit if…
From hidden AI usage to controlled AI adoption.
AI usage without visibility.
Clear ownership, policy and controls.
AI governance needs practical technology and security judgement.
Cigma combines CTO-level technology leadership, CISO-level governance thinking and practical AI implementation experience. That means governance is designed around how AI will actually be used, not just how a policy should read.
Security-aware
Data, vendor and access risks reviewed properly.
Operational
Controls designed to fit real workflows and teams.
Board-ready
Clear reporting for leadership, risk and accountability.
Vendor-neutral
Advice based on your risk, not vendor incentives.
Questions before you book.
Yes, informal usage is often where governance risk starts. The review helps clarify what is acceptable, what data must not be used, and who owns review and escalation.
The review can include policy recommendations and a practical structure for your AI usage rules. If needed, Cigma can support the next step of drafting or implementing the policy.
No. This is practical technology, security and governance advice. Where formal legal advice is required, we will make that clear.
Yes. AI Readiness looks at whether AI is commercially and operationally sensible. AI Governance focuses on whether AI usage is controlled, owned and accountable.
Next step
Bring AI usage under control before it becomes a board problem.
Book a short call. We’ll discuss how AI is being used, what risks may be unmanaged, and whether an AI Governance Review is the right next step.
You will know