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PRAXORALAB Confidential
Your Organisational
AI Readiness Report
Overall Readiness Score | Dimension | Score | Status | |
|---|---|---|---|
| Data | |||
| Process | |||
| Technology | |||
| People | |||
| Governance |
Deployment blocker identified
PRAXORALAB A score is only useful if it is understood, not just displayed. This section explains what your result indicates, what is already working, what closes the remaining gaps, and what is put at risk by deploying before they are closed.
PRAXORALAB What this score costs to ignore, and what to do in the next 14 days
A score is a diagnosis, not a plan. This section turns your result into what is actually at stake if the gap goes unaddressed, and a short, sequenced list of what to do next, starting this week.
95%
of generative AI pilots fail to produce a measurable profit-and-loss result
MIT NANDA, The GenAI Divide, 2025
60%
of AI projects fail on poor data foundations, and over 40% of agent projects fail on legacy-system incompatibility, both detectable before a dollar is spent
Gartner, 2025
74%
of companies have yet to show tangible value from their AI investment, despite the spend behind it
BCG, Where's the Value in AI?, October 2024
33%
of companies have scaled AI company-wide, against 78% who use it frequently, the gap this framework exists to close
McKinsey, The State of AI, 2024
PRAXORALAB What each dimension measures, and what the research says
Each dimension is the sum of several statements, each self-rated 1 (strongly disagree) to 5 (strongly agree). Status below reflects the dimension's score as a share of its own maximum: under 40% is a deployment blocker, 40–70% is developing, above 70% is on track. Each definition is paired with a named, publicly reported research finding for context, not a claim about your organisation specifically.
01 Data
Definition — Whether the data behind your top AI use cases is trustworthy, current, accessible, and clearly owned.
Scoring basis — Each statement is rated 1 (strongly disagree) to 5 (strongly agree); the dimension score is the sum across its statements.
Why it matters — Every other dimension depends on this one. If the underlying data cannot be trusted, nothing built on top of it, including governance and measurement, can be trusted either.
Research 60% of AI projects will be abandoned by 2026 for lack of AI-ready data, Gartner projects. Gartner, February 2025.
02 Process
Definition — Whether the process you'd point AI at is documented, measured against specific outcomes, and open to being redesigned rather than just automated as-is.
Scoring basis — Each statement is rated 1 (strongly disagree) to 5 (strongly agree); the dimension score is the sum across its statements.
Why it matters — AI automates what is defined. A process layered with AI without being documented or measured usually repeats its own defects, faster and at volume.
Research 2 in 3 leaders call their own organisation overly complex, and simplifying the process is the bigger lever, McKinsey finds, not layering technology onto it unchanged. McKinsey, The State of Organizations 2026.
03 Technology
Definition — Whether your systems and IT function can integrate an AI tool without a long, custom build, including API access, stack visibility, a safe sandbox, and early security involvement.
Scoring basis — Each statement is rated 1 (strongly disagree) to 5 (strongly agree); the dimension score is the sum across its statements.
Why it matters — Integration effort is often the hidden cost line in an AI project. Legacy systems that were never built to expose data cleanly turn a tool evaluation into a systems-integration programme.
Research ~60% of organisations cite integrating AI with legacy systems as one of their primary challenges to AI adoption. Deloitte, AI adoption pulse survey.
04 People
Definition — Whether ownership, hands-on exposure to how AI tools work and fail, and leadership alignment exist beyond a single enthusiast championing the effort alone.
Scoring basis — Each statement is rated 1 (strongly disagree) to 5 (strongly agree); the dimension score is the sum across its statements.
Why it matters — A deployment nobody in the organisation can operate, question or correct is a dependency on the vendor, not a capability the business has actually built.
Research 35% of staff received AI training in the past year, even though 75% of companies are adopting AI. Randstad, AI Skills Gap, November 2024.
05 Governance
Definition — Whether a written policy, a review step before output reaches a customer or decision, and a way to detect unexpected behaviour all exist before deployment, not after an incident.
Scoring basis — Each statement is rated 1 (strongly disagree) to 5 (strongly agree); the dimension score is the sum across its statements.
Why it matters — Governance determines how much damage an error does before someone notices it. Writing down what happens when the system is wrong, and who is accountable, has to happen before launch to matter.
Research 63% of companies using generative AI have no governance structure in place to manage the risks it creates. McKinsey, The State of AI, 2024.
This report is a self-assessment based on how you rated your own organisation on the live tool, not an independent audit. It is not a guarantee of deployment success, and the guidance in this report is a starting point, not a project plan. The research citations above describe general, publicly reported findings from the named sources, not a claim about your organisation specifically. Your answers were passed to this page through the page address and were not reviewed, stored, or transmitted to Praxora Lab or any third party.
PRAXORALAB What to do in each dimension
Your score in each dimension determines the specific next action. Dimensions scoring under 40% of their maximum are deployment blockers, address them before selecting tools or committing budget. Dimensions above 70% are on track.
Data
Every other dimension compounds on top of data. If this is your weakest score, fixing it unlocks the rest faster than working on anything else first.
Process
AI layered onto an undocumented or unmeasured process usually just repeats the defect, faster and at volume. Fix the process before you automate it.
Technology
Integration effort is often the hidden cost line in an AI project. Get a clear view of your stack and a sandbox to test in before committing to a tool.
People
A deployment nobody in the organisation can operate, question or correct is a dependency on the vendor, not a capability of the business.
Governance
Write down what happens when the system is wrong, and who is accountable for catching it, before it goes live, not after.
Terence Kok
Enterprise AI Strategist · Former Chief AI and Innovation Officer, Meinhardt Group · Author of the five-dimension readiness framework
Terence Kok is an enterprise AI strategist and former Chief AI and Innovation Officer at Meinhardt Group, with twenty-five years leading AI and digital transformation programmes across Asia and the Middle East. This seventeen-statement quiz extends the same five-dimension framework he runs live during the AI Governance & ROI Executive Programme at Praxora Lab.
AI Governance & ROI Executive Programme
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Speaking & Advisory
Named practitioners available for keynotes, panels and executive briefings on AI adoption, governance and measured ROI.
The Executive Programme runs this framework live, benchmarks your score, and delivers a twelve-week roadmap.