Six interlocking AI governance frameworks — built from direct experience operating AI at scale. Each is available as a free 2-pager or a full document, designed to be adapted to your organisation within minutes.
The complete Velinor AI governance library: VTF, STRIKE, AIBlindspot™, Fractional CAIO Playbook, AI Incident Management, and AI Ethics. Full documents, editable templates, and board-ready frameworks — instant download.
Each framework is standalone — and interlocking. Together they form a complete operating model for organisations governing AI at executive level.
Measure and communicate AI trustworthiness at board level.
The VTF provides organisations with a structured, evidence-based framework for measuring AI trustworthiness across four pillars, twelve measurement areas, and thirty-six metrics. It produces a normalised Trust Score (0.00–1.00) that translates technical AI performance into language boards, regulators, and executives understand.
Free 2-pager · Full document £9.99 · Print-ready PDF
A six-pillar operating model for responsible AI adoption.
STRIKE gives organisations a complete, structured approach to implementing AI — from initial strategy through to evaluation and continuous improvement. Six interlocking pillars cover every dimension of AI adoption, ensuring nothing critical is missed and accountability is clear at every stage.
Free 2-pager · Full document £9.99 · Print-ready PDF
42 AI risks organisations ignore — until it's too late.
AIBlindspot™ catalogues forty-two repeat-offender AI risks across eight organisational categories. The Expose → Align → Trust methodology moves organisations from risk awareness to governance confidence — surfacing what standard IT risk frameworks miss and mapping every risk against the R³AI standard: Reliable, Resilient, Responsible.
Free 2-pager · Full document £9.99 · Print-ready PDF
The 180-day AI leadership engagement — from diagnostic to institutionalisation.
The complete operating model for a Fractional Chief AI Officer engagement. Five structured phases take organisations from an AI Trust Diagnostic through governance foundations, capabilities assessment, outcomes verification, and full institutionalisation — building the internal structures to sustain AI governance without ongoing external support.
Free 2-pager · Full document £9.99 · Print-ready PDF
When AI fails — know exactly what to do.
A complete playbook for detecting, containing, and recovering from AI incidents. Covers classification from SEV-1 critical failures to SEV-4 minor anomalies, regulatory notification timelines under the EU AI Act, GDPR, and FCA, board communication protocols, and a structured post-incident review — built for the CAIO and senior leadership team. Includes six editable response templates ready to deploy.
Free preview · Full playbook £9.99 · 6 editable templates included
Principled AI decision-making for executive teams.
This framework will give executive teams a structured approach to ethical AI decision-making — covering fairness, transparency, accountability, human oversight, and societal impact. Built for the CAIO, Risk, and Legal functions that must make principled decisions under real-world commercial pressure.
In development. Register interest for early access.
A structured online course for AI leaders, Risk, and Legal teams. Build your organisation's incident readiness from the ground up — classification, response protocols, regulatory obligations, board reporting, and a culture of continuous improvement. Based on the Velinor AI Incident Management framework with live case studies.
No payment now. We'll confirm your place and send joining details before May.
Starting May 2026 · Limited places
James publishes frameworks, leadership questions, and commentary on what it actually means to govern AI at the executive level. All free. No sign-up required.
The era of experimentation is over. What matters now is discipline: clear governance, executive accountability, and measurable ROI.
A structured framework for separating fear from reality in AI security — mapping attack types against organisational readiness.
From agentic systems to governance frameworks — the structural shifts that redefined what AI leadership means.