AI Governance That Keeps Pace With AI Adoption
Based on NIST AI RMF Playbook
Defined AI Controls & Criteria: Govern, Map, Measure, Manage
Formal Governance Policies, Internal AI Risk Assessments, AI Vendor Risk Assessments, and Evidence of oversight & accountability
Deliver a complete AI Governance Framework
Governance Maturity Scoring, Governance Framework Build, Policy Development & Rollout, and AI Internal & Vendor Risk AssessmentsBoard-Level Reporting
Build 100% tailorable AI Frameworks
100% tailorable to your methodology and organizational requirements and 100% Capability to build your own consulting “product” using PrivIQ.
Assess AI Risk With Confidence
Annual Governance Reviews, Ongoing Risk Re-Assessments, Vendor Re-Assessments, Policy & Control UpdatesBoard & Regulatory Reporting Support
AI Governance Controls & Criteria
NIST AI RMF aligned controls for responsible AI oversight.
PrivIQ gives organisations a structured control set aligned to Govern, Map, Measure, and Manage. Define how AI systems are approved, documented, assessed, monitored, and reviewed. Controls can be tailored to your methodology, industry, and client requirements, helping teams move from informal AI use to accountable, repeatable governance.
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AI System Mapping
Know where AI is used and where risk may arise.
Ensures compliance with requirements like DPIA and TIA. Assess and monitor the data privacy practices of third-Map AI systems across your organisation by purpose, data sources, model behaviour, users, limitations, stakeholders, and potential impact. This creates a clear view of how AI is being used and supports better decision-making before systems scale, create risk, or fall outside oversight.
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AI Governance Policies
Create clear rules for safe, accountable AI use.
Build and manage AI policies covering oversight, literacy, system inventory, data and model documentation, human intervention, vendor assurance, incident response, record-keeping, and continuous review. Use AI assistance to generate and refine documents, then keep them centralised, current, and ready for evidence.
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Policy Distribution & Acknowledgement
Make AI responsibility visible across your teams.
Send AI governance policies to selected stakeholders, provide secure access, and capture read-and-accept confirmations automatically. Track who has accepted, who is pending, and who needs follow-up, creating a clear audit trail of awareness, responsibility, and organisational readiness.
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AI Risk Assessments
Assess internal AI risk with structured, tailorable workflows.
Create AI governance risk assessments using qualitative questions, checklists, scoring, and threat analysis. Assess governance maturity, AI literacy, system classification, human oversight, transparency, record-keeping, and operational readiness. AI helps tailor each assessment while keeping outputs editable, verifiable, and aligned to your framework.
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AI Vendor Risk Assessments
Govern third-party AI before it becomes your risk.
Assess GenAI providers, AI SaaS platforms, embedded AI features, model providers, API services, and other third-party AI vendors. Tailor evaluations by vendor category, regulatory exposure, and industry context to maintain consistent oversight, clear scoring, and defensible vendor assurance.
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Controls & Criteria
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Prompt based generation for any regulation or use case, editable and verifiable.
- Own Controls can be uploaded.
Policies & Documents
- Generate tailored or use existing policy documents, communicate these to stakeholders for reading and acceptance.
Risk Assessments (RA)
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Generate qualitative RA questions
& Quantitative Threat Analyses with Severity and Likelihood Influencers.
- Generate & Enhance
Auto-creation of remediation tasks
- Working with Pre-Mitigation and Post-Mitigation Risk scores for each threat to generate tasks required.
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Fully editable and verifiable.
