AI Vendor Risk Review: Before You Sign, Not After
AI vendor contracts contain risk that most procurement processes are not designed to catch. Where your data goes. Whether it trains the model. What the vendor can do with it. What happens when the AI produces an incorrect output that affects a real person. Independent review before commitment: so the risk is understood before the contract is signed.
No vendor relationships. No commissions. Senior advisory only.
When this service becomes necessary
- The organisation is evaluating or about to procure an AI-enabled product or platform and needs independent risk assessment before commitment.
- An existing vendor has added AI capabilities to a product the organisation uses, the implications for data handling have not been assessed.
- A procurement process has identified an AI vendor but the legal, IT, or risk team has concerns that need independent analysis.
- The organisation has received a vendor proposal that includes AI features and needs to understand what questions to ask before signing.
- A regulatory, privacy, or compliance requirement demands demonstrable AI vendor due diligence before procurement.
- The organisation has an AI governance framework and needs vendor assessment conducted against the established criteria.
What Evoltra reviews
- Data handling: what data the AI processes, where it is stored, and how long it is retained
- Model training: whether organisational data is used to train or improve the vendor's AI models
- Data residency: where data is processed and stored, and whether Australian data sovereignty requirements are met
- Privacy obligations: vendor Privacy Act compliance, data processing agreements, and sub-processor disclosure
- Contractual protections: liability, indemnity, audit rights, and exit obligations relevant to AI use
- Output accuracy and accountability: how the vendor addresses AI errors and what liability the organisation carries
- Opt-out and control mechanisms: what controls the organisation has over AI feature activation and data use
- Security and access controls: how the vendor protects organisational data in AI processing
- Governance requirements: what the vendor requires from the organisation to use AI features responsibly
What the client receives
- AI vendor risk assessment (written)
- Data handling and privacy risk findings
- Contractual gap analysis with recommended protections
- Data residency and sovereignty assessment
- Accountability and liability findings
- Priority risk findings with recommended negotiation positions
- Go / conditional / do not proceed recommendation with rationale
- Executive summary
How the engagement works
- 1
Vendor documentation review
Review vendor privacy policy, terms of service, data processing agreement, and any AI-specific documentation. Establish what the vendor has committed to in writing, and what they have not.
- 2
Proposal and contract review
Assess the vendor proposal and draft contract for AI-specific risk, data handling clauses, liability limits, AI accuracy representations, audit rights, and exit provisions.
- 3
Risk classification
Classify identified risks by severity: data exposure, privacy obligation, contractual gap, and governance requirement. Identify the risks that are unacceptable without mitigation and the risks that can be managed with appropriate controls.
- 4
Negotiation positions
Identify the contractual changes and vendor commitments needed to make the engagement acceptable, what to require, what to request, and what represents a dealbreaker if not addressed.
- 5
Written findings and recommendation
Deliver a clear written assessment with a go / conditional / do not proceed recommendation. Not a risk register: a decision-ready assessment that the organisation can act on.
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 evaluating AI-enabled vendors: particularly where sensitive data is involved, regulatory obligations apply, or the AI capability is core to the value proposition rather than incidental. Also relevant when an existing vendor has added AI to a product without formal organisational assessment, or when the procurement process has not been designed to catch AI-specific risk.
Related Services
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