AI Governance That Enables Use Without Losing Control
AI governance should make safe decisions faster, not create a policy document nobody can operationalise. Independent advisory that establishes who is accountable for AI use, what is approved, what carries unacceptable risk, and how the organisation monitors what is happening.
No vendor relationships. No commissions. Senior advisory only.
When this service becomes necessary
- AI tools are being used across the organisation without a clear picture of what is in use, what data it processes, or who is accountable.
- Employees are using generative AI tools on work tasks, ChatGPT, Copilot, or others, without approved guidance, oversight, or understood risk.
- The board or executive team has been asked about AI risk and does not have a confident answer.
- The organisation is planning to procure AI-enabled software and has not established criteria for evaluating AI risk in vendor products.
- A regulatory or compliance requirement is driving the need for a demonstrable AI governance framework.
- An AI-enabled process has produced an outcome that raised questions about oversight, accuracy, or accountability.
What Evoltra reviews
- AI inventory: what AI tools and capabilities are in use, approved, embedded, and planned
- Approved, conditional, and prohibited AI use categories
- Risk tiering framework for AI use cases by impact and reversibility
- Ownership and accountability model: who approves, who monitors, who is responsible
- AI procurement and vendor assessment criteria
- Vendor-embedded AI in existing enterprise systems
- Data handling, residency, privacy, and consent considerations
- Human oversight requirements by risk tier
- Monitoring, logging, and audit requirements
- Exception and escalation process for non-standard use cases
- Incident management for AI-related failures or harms
- Change management and communication approach
What the client receives
- AI governance framework (written)
- Accountability model: who owns AI governance, who approves use cases, who monitors outcomes
- AI inventory and register design
- Risk classification model for AI use cases
- Acceptable-use framework and policy
- Approval workflow for new AI tools and use cases
- Vendor AI assessment criteria
- Implementation roadmap with priority sequencing
How the engagement works
- 1
AI inventory and discovery
Establish what AI is in use, approved, unapproved, and embedded in existing vendor systems. Most organisations find the actual inventory is larger than expected.
- 2
Risk assessment
Classify current AI use cases by risk tier. Identify the use cases carrying the highest risk, data exposure, inaccurate output used in decisions, accountability gaps, or regulatory exposure.
- 3
Framework design
Design governance structures, accountability model, risk classification, and acceptable-use policy. Practical, not a document designed to satisfy an audit and then sit unread.
- 4
Operationalisation
Design approval workflows, monitoring mechanisms, and exception processes that people will actually use. Governance that creates friction without reducing risk is not governance.
- 5
Written framework and implementation roadmap
Deliver the complete AI governance framework with an implementation roadmap. Prioritised by risk: the highest-risk gaps addressed first.
The review stands on its own.
Evoltra does not need to win implementation work from this engagement. Recommendations can be executed by the client's internal team, their preferred vendor, or any third party they choose.
There are no vendor relationships, referral arrangements or commissions that could influence the outcome. The advice reflects what the evidence supports, not what would be most convenient to recommend.
Who this is for
Organisations that are using or planning to use AI tools at material scale and recognise that governance needs to be established before risk accumulates. Typically engaged by CIOs, risk and compliance functions, legal teams, or boards that have been asked about AI risk and do not have a confident answer.
Related Services
AI Governance Assessment
Productised entry-point to establish your current AI governance position.
AI Risk Assessment
Focused assessment of AI risk across use cases and vendor tools.
Shadow AI Assessment
Identify AI tools in use without formal approval or oversight.
Copilot Readiness Assessment
Governance and technical readiness for Microsoft 365 Copilot.
Related Reading
Frequently Asked Questions
Ready to discuss?
No sales script. Initial discussion is obligation-free.