Methodology
Tools & Frameworks
Practical frameworks built from fifteen-plus years of frontline AI advisory work. Free to use. Built for the executives, strategists, and operators doing the hard work.
Signature Frameworks
Proprietary, named methodology, built from the field, not borrowed from consulting decks.
Governance
4 Functions · 3 Questions · 90-Day Sprint · AAA Maturity Path
Minimum Viable AI Governance (MVG)
The governance framework that doesn't kill innovation. Build the minimum viable structure in 90 days, NIST-compatible from day one. MVG is the Assess stage; the Governance Playbook's five layers carry it through Align and Assure. Used in Stanford SEED Spark and Stanford LISA startup mentoring and in enterprise advisory engagements.
Trust & ROI
3 Pillars · 15 Dimensions · Trust Premium Score · Industry Benchmarks
The Trust Premium
The framework for quantifying the business value of trusted AI. Three pillars (Risk Avoidance, Performance Acceleration, and Market Premium) measured across 15 dimensions. Used in advisory engagements across financial services, healthcare, and government.
Development Pipeline
Purposeful Impact · Respect for Humans · Interpretable by Design · Mitigated by Engineering · Enforceable Accountability
The PRIME Framework
Wire responsible AI into your development pipeline rather than bolting it on afterwards. PRIME treats trust as a build constraint, the same way security tests block deployments. The result: AI that ships faster because it never needs costly retrofits.
Risk & Audit
5 Debt Categories · 25 Dimensions · Compound Interest Model · 90-Day Sprint
The Liability Ledger
The structured methodology for inventorying, scoring, and reducing the hidden liability accumulating in your AI portfolio. Five categories of ethical debt (Bias, Transparency, Governance, Privacy, Accountability), each compounding at measurable rates. Used in advisory engagements to make invisible risk visible.
Agentic AI
7 Dimensions · 5 Autonomy Levels · Readiness Score · Agent Washing Detector
Agentic AI Readiness (A7)
Seven dimensions that determine whether your organisation is ready for autonomous AI agents, and which autonomy level you can safely deploy. Across data architecture, human oversight, and five other dimensions, A7 prevents premature autonomy deployment. The framework that completes the system.
Instruments
The scoring side of the signature frameworks: one page each, with the table, the bands and the worksheet.
5 Categories · 25 Dimensions · 4 Bands
Liability Ledger Audit
The Liability Ledger Audit scores an AI portfolio on 25 dimensions across five categories of ethical debt, from 25 (debt free) to 125 (critical). Each category compounds at its own rate every six months, and the audit puts the fastest-compounding debt at the top of the repair list.
7 Dimensions · 5 Levels · Floor Rule
A7 Agentic AI Readiness Assessment
The A7 readiness assessment scores an organization from 1 to 5 on seven dimensions, from data architecture to autonomy calibration, for a total between 7 and 35. The total names the most autonomous class of AI system the organization can safely run, and the floor rule lowers that level whenever one dimension is too weak to hold it.
3 Pillars · 15 Dimensions · 4 Bands · Industry Benchmarks
Trust Premium Score
The Trust Premium Score measures how much value an organization earns from AI that people trust, across 15 dimensions in three pillars: risk avoided, performance gained and market value earned. Each dimension is scored from 1 to 5 on what runs today, so the total falls between 15 and 75 and places the organization in one of four bands.
Methodology Tools
Practical instruments for assessment, evaluation, and compliance, designed to complement the signature frameworks.
Decision Framework
4 Pillars · 12 Blocks
The AI Use Case Blueprint
Twelve blocks that test whether one AI use case deserves funding: data, unit economics, governance and adoption, scored before the money is spent.
Assessment
5 Pillars · Scored Diagnostic · Calibration Checks
The 5-Pillar AI Readiness Assessment
A scored diagnostic that separates genuine organisational readiness from wishful thinking. Includes calibration checks to prevent self-assessment bias, the gap most frameworks ignore.
Operations
5 Layers · 3 Risk Tiers · Align and Assure · 72 NIST Subcategories
The Governance Playbook
The Align and Assure stages after Minimum Viable Governance. Five layers, from Policy to Assurance, turn AI principles into rules that change decisions, and the playbook maps all 72 NIST AI RMF subcategories to them.
Compliance
3-Tier Policy · 4 Jurisdictions · 3 Sector Addenda
Open Source AI Compliance Checklist
A structured compliance checklist for managing open source AI adoption, covering licence inventory, three-tier policy classification, SBOM requirements, multi-jurisdiction regulatory monitoring, and sector-specific addenda for healthcare, financial services, and government.
Procurement
6 Categories · 30 Questions · Red Flag Checklist · Vendor Comparison
AI Vendor Assessment Scorecard
Evaluate AI vendors on governance, transparency, bias testing, privacy, compliance, and portability before signing. 30 questions across 6 categories with immediate red flags and a 3-vendor comparison matrix.
Compliance
Article-by-Article Checklist · Risk Classification · Penalty Calculator
EU AI Act Compliance Template
The article-by-article compliance checklist for the EU AI Act. Covers prohibited practices (enforced Feb 2025), GPAI obligations (Aug 2025), and high-risk requirements (Dec 2027, Digital Omnibus deferral). Includes risk classification register, penalty exposure calculator, and NIST crosswalk.
Advisory Work
These frameworks in practice
The frameworks here are the same ones used in advisory engagements with C-suite leaders across four continents. If you want to apply them with support, that's the advisory work.
5
Signature Frameworks
6
Methodology Tools
15+
Years in AI & tech
10+
AI programs in regulated industries
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