Precision Engagements

Structured for
Regulated Institutions

No generic solutions. Every engagement is fit and tailored to your institution's strategic objectives, examination timeline, and risk posture.

Engagement 01

AI Governance Training

Scope

  • AIGP certification preparation curriculum
  • ISO 42001 AIMS implementation training
  • Auditing non-deterministic "Black Box" models
  • AI Impact Assessment (AIA) methodology
  • EU AI Act compliance requirements for financial institutions

Deliverables

  • Structured training modules for risk, audit, and compliance teams
  • Self-sustaining internal AI governance capability
  • AIGP exam readiness assessment & practice materials
  • Customized case studies from regulated financial services
AIGP ISO 42001 EU AI Act NIST AI RMF

Representative Engagement

  • Designed 5-module AIGP certification prep program for 2nd-line risk team at a top-10 U.S. financial institution
  • Delivered ISO 42001 implementation workshop covering end-to-end AIMS lifecycle for internal audit and model risk teams
  • Built self-sustaining governance capability — eliminating perpetual external vendor reliance

Engagement 02

ISO 42001 AI Management System Implementation

Scope

  • Gap diagnostic against ISO 42001 clause requirements
  • AI risk-treatment plan design
  • Control mapping to existing enterprise risk frameworks
  • Statement of Applicability (SoA) development
  • Examination-ready documentation package

Deliverables

  • AIMS policy suite (Purpose, Scope, Risk Treatment)
  • Annex A control implementation evidence
  • Internal audit readiness checklist
  • Risk Treatment Plan with examiner-ready narratives
ISO 42001 ISO 27001 mapping COSO

Representative Engagement

  • Gap diagnostic for a government-sponsored enterprise with 400+ AI-adjacent models, mapped to ISO 42001 Annex A
  • Produced prioritized Risk Treatment Plan satisfying 2nd-line oversight and regulatory examiners
  • Completed documentation package 3 months ahead of scheduled regulatory examination cycle

Engagement 03

EU AI Act / NIST RMF / ISO 42001 Audit Readiness

Scope

  • EU AI Act risk classification and compliance mapping
  • NIST AI RMF alignment and implementation
  • MRM framework extension for AI/ML models (SR 11-7)
  • Validation governance design for non-deterministic models
  • Bias testing protocols & fairness measurement

Deliverables

  • Cross-framework compliance matrix (EU AI Act × NIST × ISO 42001 × SR 11-7)
  • Model validation standards for AI/ML
  • Examination readiness self-assessment toolkit
  • Regulatory response templates for examiners
EU AI Act NIST AI RMF SR 11-7 FHFA 2022-02 OCC 11-12

Representative Engagement

  • Extended SR 11-7 model risk framework to cover 120+ AI/ML models at a top-5 U.S. bank
  • Designed automated bias testing pipeline integrated with existing model monitoring infrastructure
  • Cross-mapped EU AI Act high-risk classification to NIST AI RMF and existing COSO controls

Engagement 04

Board-Level AI Governance Architecture

Scope

  • AI governance policy frameworks & committee charters
  • Risk appetite statements for AI/ML deployment
  • Board reporting dashboards & metrics design
  • Kinetic control planes — real-time governance for agentic AI
  • Constitutional AI logic & post-training safety tuning

Deliverables

  • Board-ready AI governance charter & oversight framework
  • 3-Lines-of-Defense model adapted for AI risk
  • Risk appetite statement calibrated to regulatory expectations
  • Automated control plane architecture documentation

Automated Controls & Tooling

  • NVIDIA NeMo Guardrails — programmable safety rails
  • AWS Bedrock Guardrails — content filtering & PII redaction
  • Llama Guard — input/output safety classification
  • Guardrails AI — structural output validation

Tracing & Sandbox

  • LangSmith / LangFuse — LLM tracing & observability
  • Weights & Biases — experiment tracking & model registry
  • Prompt Sandbox — red-teaming & adversarial testing
  • MLflow — model lifecycle management & governance
COSO ISO 42001 Constitutional AI Agentic AI

Representative Engagement

  • Designed the Model Audit Guidance and strategic framework governing the institution's transition to automated testing at a GSE
  • Implemented kinetic governance layer — ISO 42001-compliant control plane with Constitutional AI circuit breakers for agentic workflows
  • Deployed NeMo Guardrails + LangSmith tracing pipeline enabling real-time oversight of production LLM agents

The Approach

Every Engagement Follows the Same
Four-Phase Discipline

01

Diagnostic

Current-state assessment against applicable regulatory frameworks and institutional risk appetite.

02

Scope

Precision scope definition. Fixed deliverables, clear timeline, no scope creep. Approved before work begins.

03

Deliver

Examination-ready artifacts, control documentation, and implementation support. Senior practitioner throughout.

04

Exit

Knowledge transfer, internal capability building, and clean disengagement. No vendor lock-in.

Ready to scope your engagement?

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