Domains where governance isn't optional — it's survival.
Each focus area below represents battle-tested execution patterns from regulated, high-stakes environments. These aren't interests — they're proven domains where ungoverned AI fails catastrophically.
Growth & Revenue Execution
Revenue Outcome Accelerator Optimization
Problem:
SaaS platforms struggle with churn, pricing, and monetization when AI-driven workflows lack governance and accountability.
Why This Domain Needs Governance:
Revenue decisions (pricing, renewals, upsells) require audit trails, policy enforcement, and evidence that actions were taken for correct business reasons, not AI hallucination.
•AI-assisted pricing optimization with policy bounds
•Retention automation with decision auditability
•Usage-based monetization with cryptographic evidence
•Multi-product bundling governed by business rules
Track Record & Impact:
✓ 40% ARR lift through governed retention execution
✓ 25% churn reduction via policy-enforced intervention
✓ $25M+ annual efficiency gains from decision orchestration
✓ 70% deflection of high-volume interactions via governed automation
Compliance & Legal Execution
Compliance Outcome Accelerator Design
Problem:
Regulated enterprises face constant policy changes while AI systems lack built-in compliance enforcement and evidence generation.
Why This Domain Needs Governance:
Compliance failures create regulatory, financial, and reputational risk. AI must prove what it did, when, why, and that it followed policy — not approximate or hallucinate.
✓ $20M+ annual savings from automated policy enforcement
✓ FedRAMP/IL4 architecture design experience
Logistics & Supply Chain Execution
Logistics Network Optimization
Problem:
Global logistics platforms struggle with multi-carrier complexity, customs compliance, and exception handling under tight margins.
Why This Domain Needs Governance:
Logistics decisions affect cost, compliance, and customer commitments. AI must make provably optimal decisions within policy, not "good enough" guesses.
•Multi-carrier rate shopping with policy-bound selection
•Real-time exception handling and rerouting
•Customs compliance automation
•Margin recovery through governed decision optimization
•Supply chain risk detection with evidence trails
Track Record & Impact:
✓ 30% exception handling cycle time reduction
✓ $100M+ new revenue from logistics platform expansion
✓ 35% productivity lift in logistics operations
✓ Recovered margin notarized on cryptographic ledger
Generative AI & Data Ecosystems
Governed Intelligence
Problem:
Enterprises deploy generative AI without governance, creating hallucination risk, compliance exposure, and evidence gaps.
Why This Domain Needs Governance:
GenAI in production must never fabricate data, violate policy, or operate without human authority on critical decisions. Every output must be traceable and auditable.
✓ 35% overall productivity lift in AI-assisted workflows
✓ $100M+ new revenue from AI-enabled platform features
✓ Zero hallucinations in policy-enforced execution zones
Platform Modernization
Technical Debt Resolution
Problem:
Legacy platforms under modernization pressure struggle to adopt AI while maintaining compliance, stability, and audit readiness.
Why This Domain Needs Governance:
Platform modernization without governance creates technical debt 2.0. New platforms must be auditable, compliant, and governable from day one — not retrofitted.