Operator artefacts. Working tools, not decks.
Interactive frameworks Andrew Wyatt uses with growth-stage CEOs and boards preparing for scale, board readiness, and AI deployment. Each tool generalises a working artefact from a real engagement. The kind of thing a CEO or chair can drop in front of their team and use.
NHS Board Radar
Every English health system scored against the nine priorities of the 10 Year Health Plan, read from its own 2026 board papers. Two scores per priority: how much importance the board places on it, and how far it has delivered. Colour all 42 systems by importance, delivery or the gap between them, switch to a regional view or the 36 ICBs in place since April 2026, and open any system for the quoted, page-referenced evidence behind its scores. 143 organisations, 1,212 scores, refreshed quarterly.
NHS software & AI readiness
Two questions decide whether a software or AI product gets into the NHS: are you legally deployable, and are you commercially viable. Twenty questions across the assurance stack and the buying reality place you on a five-level maturity model, give a read on each axis, and name the single gate to clear next. Built from Ortent's NHS body of knowledge. Instant result, no email.
Diligence Radar
Score a SaaS or AI company across the nine domains a buyer will run due diligence on. Exposure is how much each domain can move a deal for this company in particular, set from a six-question profile (product, buyer, data, markets, AI role, stage). Readiness is answered on a fixed four-rung ladder across four evidence questions per domain. Gap = exposure minus readiness. The tool leads with the widest gap, names two fast lifts, and cites the single issue most likely to reduce enterprise value. Twelve to fifteen minutes, no email, free Markdown report.
Healthcare AI Radar
Seventeen categories of AI in healthcare, eleven clinical and six administrative, each scored on three separate maturities: evidence, deployment and economics. A category only scales when all three line up, so status is set by the weakest score. Bubble chart, sortable grid and cited evidence behind every score, with dated sources throughout.
Life Sciences Radar
The radar compares what 25 large pharma and biotech R&D spenders say in public about two things: AI and computation in drug discovery, and the digitalisation of their research labs and scientific data. Each company gets two scores for each theme. Priority is how much weight the company puts on the theme in its own disclosures, on a scale of 1 to 10. Delivery is how far its published evidence shows the work running, from 0 to 10.
AI Board Diagnostic
Score a board on the nine questions it should ask about AI every quarter, from the field guide AI and the Board. Each question is scored on five stages, from not discussed to governed, and a policy on its own never scores above discussed. The read shows where the board stands on each question, the one to fix first, and what fits next. About ten minutes, nothing stored.
Reinventors: fund AI-enabled revenue
Everyone can cut cost with AI. The harder, larger prize is revenue you could not previously earn, and it dies in the business case when a CFO values it like an efficiency saving. This tool finds the play across four revenue patterns, reads it on a six-axis lens to surface the one assumption most likely to kill it, and returns the funding stage to start at on a four-stage ladder of staged bets with evidence gates and kill criteria. The companion to the AI Value Gap self-assessment, and the way out of the Efficiency Trap.
Interactive target operating model
A four-layer target operating model for a growth-stage SaaS business. Click any layer to drill down through sub-components and the underlying processes. Toggle the risk and AI-readiness overlays to see the same architecture used as a board artefact or as the substrate for AI deployment. Each layer ships with a worked example: a critical incident swim lane, a strategy cascade, an end-of-life process, a security incident response, and a 10-column risk register sitting beneath each.
Partner Architecture Visualiser
The four partner archetypes that move ARR in B2B SaaS. Reseller, integrator, ISV, instrument or platform vendor. Each archetype expands to show economics, enablement, deal cycle, owner inside the SaaS, and the KPI that proves it is working. Filter by economics, owner, KPI, or "best when" to compare across all four.
Five Questions Diagnostic
A self-assessment against the five foundations of scalable B2B SaaS: commercial model, go-to-market, deployment, quality and supportability, and organisation. Fifteen honest statements, rated one to five. Traffic-light score per foundation and an operator's read of what to do next. No email capture, no download.
The AI Value Gap self-assessment
Everyone is buying AI. Almost nobody is making new money from it. This six-minute self-assessment places your business on two axes, the operational efficiency you have realised and the new revenue you have created, and shows you your quadrant the moment you finish. Fifteen questions and an instant read on where you sit. It runs in your browser and nothing is stored.
Clarity when it counts.
For a board, advisory or fractional engagement, or a working call on the next stage, send a note. Thirty minutes is usually enough to test fit.
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