Each service maps to a stage of the SERVE™ framework — designed to be adopted incrementally or as an integrated program. All services are grounded in NIST AI RMF, ISO 42001, and the EU AI Act.
Our proprietary five-stage methodology ensures your AI governance program is built to last — not just to satisfy the next audit. Each service below maps to one or more SERVE stages.
Identify and classify AI risks across your portfolio
Assess maturity against global standards
Close gaps with prioritized action plans
Audit controls and validate compliance readiness
Institutionalize governance into operations
Define roles, responsibilities, policies, and oversight structures from scratch. Includes governance charter, RACI matrix, escalation workflows, and committee charters. Designed for organizations standing up their first formal AI governance function.
Systematic identification and classification of AI risks across your portfolio using NIST AI RMF Map and Measure functions. Includes risk register, tier classification, continuous monitoring dashboards, and remediation playbooks.
End-to-end gap analysis, control mapping, documentation, and audit-trail preparation for organizations pursuing ISO/IEC 42001 certification. Includes AI policy library, management system documentation, and internal audit readiness review.
Executive briefings for boards and C-suite, practitioner workshops for AI and product teams, and SERVE™ framework certification programs. Tailored to your industry context — healthcare, financial services, wealth management, or technology.
Prioritized AI investment roadmap aligned to business outcomes, risk appetite, and regulatory requirements. Includes use-case scoring matrix, build-buy-partner analysis, and phased implementation plan with governance checkpoints.
Use-case classification against prohibited and high-risk categories, fundamental rights impact assessment, conformity assessment preparation, and ongoing obligation mapping. Designed for organizations operating in or selling into the European market.
Full PDCA-cycle AI management system design: AI policy, objectives, resource planning, operational controls, performance evaluation, and continual improvement processes. Grounded in ISO 42001 Annex A controls and NIST AI RMF Govern function.
Ten questions, five minutes, no sign-up. You'll get a scored readout across six responsible AI pillars with specific recommendations — before you engage anyone.
Begin free assessment →Tell us about your AI initiative and we will respond within one business day.