Home / AI Governance – for consultants
4.7
★★★★★
G2 · 46+ verified reviews
375+
Customers worldwide
36+
Countries
12+
Privacy regulations & frameworks
TRUSTED BY PRIVACY, RISK AND COMPLIANCE TEAMS












DPO practices adding AI governance to their service line - typically the largest segment.
Consultants whose primary practice is AI governance, model risk and EU AI Act readiness.
Larger firms with diverse risk and compliance offerings adding AI governance to the portfolio.
All client engagements anchored to a recognised reference framework.
Reusable AI governance assessments, AI vendor due diligence, AI use-case reviews.
Each client has its own register, isolated and configurable.
Your methodology, distributed through PrivIQ to your clients.
Client-facing reports in your visual identity.
Pricing tiers structured for consultant economics.
Reusable AI assessments, policies, vendor questionnaires.
Tenant setup, use-case discovery, risk classification.
Assessments, vendor reviews, policy rollouts, ongoing advisory.
NIST-aligned reports, branded for your practice.
Annual reviews, EU AI Act readiness, scope expansion.
Built for both sides
375+ teams in 36+ countries use PrivIQ to run privacy, AI governance and risk programmes – from independent DPO consultants to global enterprise compliance teams.
G2 Awards · Spring 2026
Services FAQs
It is the fastest-growing service line in privacy consulting through 2025-2026, driven by the EU AI Act, NIST AI RMF adoption, ISO/IEC 42001 certifications, board-level AI oversight demands and customer due-diligence requirements. Demand is real and rising.
Yes. Bring your methodology; configure it on PrivIQ. The platform provides the operational layer; your methodology provides the substance.
AI governance shares much of the underlying machinery with privacy - assessments, controls, policies, third-party oversight. Mature consultancies run both on the same platform with shared evidence.
Supported. EU AI Act readiness templates align deployer obligations to PrivIQ's NIST AI RMF-anchored controls. Both frameworks crosswalk well in practice.
PrivIQ focuses on AI governance - the broader operational discipline. Model governance (lifecycle of ML models you build) typically requires specialised MLOps tooling alongside the governance layer.