AI Risk Assessment: Know What You Are Actually Carrying
Organisations are using AI tools without a clear picture of the risks they are accumulating. Data sent to external models. Outputs used in decisions without human review. Vendor AI embedded in enterprise systems processing sensitive information. An independent AI risk assessment establishes what is in use, what risk each use case carries, and what needs to change.
No vendor relationships. No commissions. Senior advisory only.
When this service becomes necessary
- AI tools are in use across the organisation and risk has not been formally assessed, the board, audit committee, or risk function has asked for a risk view.
- The organisation is about to procure or deploy a significant AI capability and needs risk assessed before go-live.
- A specific AI tool or vendor has raised concerns, data residency, privacy, accuracy, or accountability, and an independent assessment is needed.
- An AI output has been used in a consequential decision and the oversight and accountability model has been questioned.
- A regulatory requirement, privacy audit, or external review has identified AI risk as a gap requiring documented assessment.
- The organisation has an existing AI governance framework but has not assessed the actual risk profile of current AI use against it.
What Evoltra reviews
- AI tools and capabilities currently in use, approved, unapproved, and embedded in vendor systems
- Risk classification by use case: impact, reversibility, data sensitivity, and human oversight adequacy
- Data handling risk: what data AI tools process, where it goes, and whether consent and residency requirements are met
- Vendor AI risk: embedded AI in enterprise platforms assessed against risk criteria
- Output risk: use cases where AI output is used in decisions, recommendations, or automated processes without adequate human review
- Accountability gaps: use cases where responsibility for AI outcomes is unclear or unassigned
- Regulatory exposure: AI use cases that carry Privacy Act, sector-specific, or emerging AI regulation risk
- Priority findings: the risks that require immediate attention
What the client receives
- AI risk assessment (written)
- Use case risk register with classification by tier
- Data handling and privacy risk findings
- Vendor AI risk summary
- Accountability gap analysis
- Regulatory exposure assessment
- Priority risk findings with recommended actions
- Executive summary for board or leadership reporting
How the engagement works
- 1
AI inventory
Establish what AI tools are in use, approved tools, tools used without formal approval, and AI embedded in existing enterprise systems. Most organisations find the actual inventory is larger than the approved list.
- 2
Use case mapping
Document how each AI tool is being used, what tasks, what decisions, what data, and by whom. Risk cannot be assessed without understanding actual use, not just intended use.
- 3
Risk classification
Classify each use case by risk tier, considering data sensitivity, decision impact, reversibility, vendor data handling, and human oversight adequacy. Identify the use cases carrying unacceptable or unmanaged risk.
- 4
Vendor AI assessment
Assess AI embedded in existing enterprise platforms against risk criteria, data processing location, contractual protections, opt-out controls, and what the vendor can do with organisational data.
- 5
Written findings and priority actions
Deliver a clear written risk assessment with priority findings and recommended actions. Not a theoretical risk matrix: a specific assessment of current risk with actionable recommendations.
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
Boards, risk functions, legal teams, CIOs, and compliance teams who need a credible, documented view of AI risk across the organisation. Particularly valuable before a board reporting cycle, ahead of a regulatory review, or as an input to AI governance framework development. Also relevant when a specific AI tool or vendor has raised concerns that need independent assessment.
Related Services
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