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Turn AI ambition into evidence-backed initiatives your organisation can actually deliver.

AI Value Worx helps you identify the right AI initiatives, commit to them with defensible business cases, and realise value through governance built into the operating system — not buried in documents.

Not a platform. Not a report. A specification-led AI value-realisation system your team builds inside your own infrastructure.

Fixed-fee sprint Inside your firewall No platform lock-in

AI pilots are not the hard part. Reliable value realisation is.

Most organisations no longer need convincing that AI matters. They need a defensible way to decide what to back, how to govern it, and how to turn it into operating value.

The gap is not awareness. It is the missing layer between AI ambition and measurable, governed execution — evidence, commitment, and governance working together.

The organisations that solve this in 2026 compound advantage. The ones that don’t spend the next decade catching up.

01
Evidence
Frameworks and analyst reports rarely verify claims at the level a board needs for a commitment decision.
02
Commitment
The organisations that get the most from AI are not the ones that explore most aggressively. They are the ones that commit most deliberately. A business case written to be approved — rather than to survive implementation — collapses at the first quarterly review.
03
Execution
Most organisations are AI Legible — they understand what AI can do, have named the opportunities, perhaps run pilots. The gap between AI Legible and AI Actionable is where most AI investment dies.

Concrete deliverables, not abstract advice

  1. A ranked AI initiative shortlist, evidence-matched to your context.
  2. A falsifiable business case for the best initiative.
  3. A governance model that lets teams act without approval drag.
  4. A specification package your technical team can build from.
  5. An evidence base your organisation owns.

Discovery Sprint

A fixed-scope engagement for organisations that need to move from AI interest to evidence-backed commitment. One to two focused sprints. Scoped before start. Standalone outputs even if the full engagement does not follow.

Who it is forExecutive sponsor + delivery lead (CEO/COO/CFO, transformation lead, CIO/CTO, strategy lead)
Duration1–2 focused sprints
Output 1AI maturity assessment
Output 2Evidence-backed initiative shortlist
Output 3Board-ready recommendation for next phase
Also includesInitiative scoring matrix, draft commitment logic, governance risk map, full engagement proposal if useful
Commercial shapeFixed scope, fixed fee
Risk reductionStandalone value even if full engagement does not follow
No platform commitment No external data dependency No obligation to continue
Request a Discovery Sprint →

AI implementation inside your infrastructure

We are not offering our process, our data, or our software for you to install. We are offering the specifications to build your own version — integrated with your own data and systems, adapted to your business, running inside your firewall. We call this software-by-specification: complete enough to be buildable; abstracted enough to be yours.

The only data that passes between your organisation and ours is what you choose to share in the consultancy conversations. This is not a compromise. It is the design.

Read the firewall proposition →

An integrated system for AI value realisation

Discovery Sprint → full engagement → specification package, AI Value Intelligence, and governance-as-code — designed to operate as one inside your firewall.

AI Value Worx integrated system blueprint: exploded axonometric of Identify, Commit, and Realise inside the client firewall boundary, with executive, participative, and governance-as-code layers on the AI Value Intelligence evidence substrate.
Master assembly — exploded axonometric. All components run inside your firewall perimeter.
Value-realisation process
Identify → Commit → Realise. From “AI could create value” to value operating in the business.
Explore the process →
Governance framework
Executive, participative, and governance-as-code layers so commitments enforce themselves rather than living in documents.
Governance as code →
AI Value Intelligence
Verified claims about AI value creation and the governance it requires — every recommendation traces to evidence.
Inside the intelligence base →

The process: AI opportunity assessment to operating value

01
Identify

AI initiative prioritisation grounded in verified evidence, not opinion.

Identify stage →
02
Commit

Board-ready business case and commitment logic that survives implementation.

Commit stage →
03
Realise

Governance-as-code and specifications your team builds from inside your infrastructure.

Realise stage →

Why this is different

Inside your firewall
Secure AI implementation without sending sensitive data to third-party platforms.
Specifications, not reports
Module specs, governance-as-code, data contracts — buildable artefacts with a longer half-life than slide decks.
Evidence, not opinion
Every recommendation traces to a verified claim with visible provenance.
Self-sustaining by design
Your evidence base and capability compound after we leave. No ongoing dependency.

Best fit for

Enterprise
Teams blocked by data governance, security policies, and procurement — who need auditability and implementation inside the firewall.
Growth-focused mid-market
Organisations with AI pilots but no repeatable value-realisation system to scale what works.
VC-backed scale-ups
Leadership under investor pressure to show a credible AI strategy — fast, fixed-scope, board-ready.

Built for

CEO / COO / CFO Executive AI sponsor Transformation lead CIO / CTO Strategy lead Delivery lead

Built by practitioners who have done this at scale

Strategy, digital transformation, governance, and performance-marketing practitioners with experience across Google, Cisco, Sony PlayStation, HSBC, Econsultancy, Goal Atlas, and weareCrank. Mike Baxter (PhD, author of The Strategy Manual and AI-Augmented Decisions) and Peter Abraham (co-author of Building the Agile Business through Digital Transformation). Meet the founders →

From the AI Value Intelligence
GPs using Heidi Health’s ambient AI tool reduced clinical documentation time during patient consultations by 51% over a 25-day trial involving 47 GPs across more than 2,800 consultations.
Hard evidence Heidi Health
Banco do Brasil achieved a 90% reduction in false positive rates for transaction screening after implementing Napier AI’s solution, reducing the false positive rate to just 2%.
Hard evidence Banco do Brasil
Almost all organisations with scaled GenAI initiatives report measurable ROI, with almost a quarter reporting ROI of 31% or more.
Hard evidence Deloitte (research)

Example evidence chain:

Claim Source quote Captured document Original URL Classification rationale

Request a Discovery Sprint

Fixed scope. Fixed fee. Leave with a maturity assessment, an evidence-backed initiative shortlist, and a grounded recommendation for what to build next.

On the contact form, tell us your organisation type, where AI is currently stuck, and whether the blocker is evidence, governance, delivery, or board confidence.

Request a Discovery Sprint →

Or email mike@aivalueworx.com or peter@aivalueworx.com