AI Strategy & Governance Advisory
Guiding boards and technical leaders to build responsible, sustainable AI capabilities.
What We Deliver
- AI governance frameworks and model risk policies
- Data ethics, consent management, and privacy design
- Capability roadmaps and maturity assessments
- Change management and organizational enablement
Our Approach
We align AI strategy with corporate risk appetite and regulatory expectations. Engagements begin with stakeholder interviews and current-state assessments (policy, process, tech), followed by a prioritized roadmap. We formalize accountability (RACI), embed risk controls into the ML lifecycle, and equip teams with training, playbooks, and metrics that track value and compliance.
Frameworks & Standards
Governance & Risk
Model risk guidelines (e.g., SR 11-7), NIST AI RMF, ISO/IEC 42001 (AI Management), ISO/IEC 27001 alignment.
Privacy & Ethics
Privacy by Design, DPIAs/PIAs, consent & purpose limitation, minimization, transparency & accountability.
Controls & Processes
Model inventory, risk tiering, human-in-the-loop, testing/validation, approval workflows, monitoring & decommissioning.
Documentation
Model cards, data sheets, decision logs, audit trails, incident response and post-mortems.
Operating Model
- AI Council / Risk Committee charters; roles for Product, Data Science, Risk, Security, Compliance.
- Center of Excellence (CoE) playbooks: standards, reusable templates, and gated delivery processes.
- KPIs & KRIs: value realization, model health, fairness, drift, and operational resilience.
- Change management: communications, training curricula, and adoption metrics.
Technology Enablement
Policy-as-Code
OPA/Rego, rule engines, and CI/CD checks to enforce approvals, access, and deployment gates.
Consent & Privacy
Consent registries, preference centers, DLP, tokenization, and data retention controls.
Lifecycle Governance
Model registries, versioning, lineage, risk tiering, and automated evidence collection.
Observability
Monitoring for performance, drift, fairness; alerts, dashboards, and review workflows.
Roadmaps & Assessments
- Maturity assessments across strategy, people, process, data, and technology.
- Prioritized roadmaps with value cases, cost estimates, and risk reduction milestones.
- Implementation plans that phase controls alongside product delivery to avoid slowdowns.
Regulatory & Compliance Readiness
- Gap analyses vs. applicable regulations; remediation plans and evidence packs.
- Third-party / vendor risk reviews for AI services and data providers.
- Board-level reporting templates and cadence for ongoing oversight.