Independently assess AI suppliers, platforms and third-party tools before adoption to support informed procurement, governance and risk decisions.
Book ConsultationAI suppliers can introduce material operational, data, compliance, security and governance risks. An AI vendor assessment provides a structured way to evaluate third-party AI tools and platforms before procurement, deployment or wider business adoption.
INTAI helps organisations assess AI vendors across intended use, supplier accountability, data handling, model transparency, contractual controls, security, monitoring, human oversight and operational dependency. The assessment focuses on whether the supplier arrangement is appropriate for the organisation’s risk appetite and governance requirements.
The outcome is a clear view of supplier risk, control gaps, evidence requirements and recommended actions, helping procurement, risk, legal, compliance and technology teams make better-informed AI adoption decisions.
Confirming the supplier details, AI capabilities, intended business use cases, and procurement objectives.
Assessing the supplier's governance standards, security controls, data management practices, and operational resilience.
Contextualising supplier risk against your specific business impact, regulatory obligations, and internal risk appetite.
Synthesizing evidence gaps, contractual weaknesses, and control deficiencies that require remediation.
Developing actionable recommendations to inform your onboarding, procurement, and ongoing supplier oversight decisions.
Premium assets that validate supplier integrity and provide clear foundations for third-party AI oversight.
Take the AI Vendor Assessment™ to evaluate how effectively your organisation selects, assesses and oversees third-party AI providers, and identify potential gaps across due diligence, data protection, security, contractual safeguards, ongoing monitoring and supplier dependency.
Take Assessment Book ConsultationAn AI vendor assessment evaluates the risks associated with selecting, using and depending on a third-party AI provider. It considers the supplier itself, the AI capability being provided, how the organisation intends to use it, what data may be processed and whether appropriate contractual, technical and governance safeguards are in place.
An assessment should ideally take place before procurement or deployment, and again when contracts are renewed, the intended use changes materially, new AI capabilities are introduced or the organisation becomes more dependent on the supplier.
The scope can include business suitability, supplier maturity, financial and operational resilience, data handling, privacy, security, model governance, transparency, responsible AI practices, contractual protections, intellectual property, incident management, monitoring, sub-processors and exit arrangements.
It supports both, but goes beyond conventional supplier due diligence. An AI vendor assessment examines risks that can be specific to AI, including model dependency, changing capabilities, limited transparency, data use, output reliability and the organisation's continuing accountability for how the technology is used.
Evidence will depend on the risk and intended use, but may include security and assurance reports, data processing information, sub-processor details, model documentation, testing evidence, incident procedures, service commitments, governance information and details of how customer data and AI inputs are handled.
Yes. AI services can change significantly after procurement. Reassessment may be appropriate when functionality changes, new models or agents are introduced, data processing arrangements change, business reliance increases, incidents occur or contracts approach renewal.
No. A well-known supplier may reduce some forms of vendor risk, but organisations still need to understand whether the specific AI capability is appropriate for its intended use, what data it can access and what controls are needed around deployment and ongoing use.
Outputs can include a structured vendor risk assessment, due diligence findings, evidence gaps, risk ratings, contractual considerations, required controls and prioritised recommendations to support approval, remediation, escalation or further investigation.
Yes. A documented assessment can help demonstrate that supplier risks have been identified, appropriate due diligence has been completed, approval decisions are evidence-based and ongoing responsibilities for third-party AI are understood.
Start with the AI Vendor Assessment™ to evaluate how effectively your organisation selects, assesses, contracts with and oversees AI suppliers, and identify where stronger due diligence or vendor governance may be required.
Assess how effectively your organisation evaluates AI suppliers, manages third-party risk and maintains oversight as vendor technologies, capabilities and dependencies evolve.
Continue strengthening your AI risk capability with services that support risk reviews, classification, vendor assessment, compliance and ongoing monitoring.
