Are You Actually Capturing Value from Your AI Spend?
Eighteen scored questions across the six dimensions that separate AI investments that earn out from the ones that quietly become budget line items.
- A scored profile across 6 dimensions — see exactly where you're strong and where the gaps are.
- Your biggest opportunities, mapped to specific next moves.
- A personalized video walkthrough from Shawn (optional) — a real read on your results.
Most companies that have spent meaningfully on AI in the past two years are now stuck in the same uncomfortable place: the invoices have cleared, the pilots launched, the press releases went out — and no one can answer a CFO's simplest question with a straight face. What did it earn? The post-pilot, pre-scale gap is where the majority of enterprise AI budgets quietly disappear. Not because the technology failed, but because no one captured a baseline, no one tracked who actually used the tools, no one separated AI's contribution from everything else that was changing, and no one was empowered to kill what wasn't working before the next renewal cycle.
This free assessment scores your organization across six ROI realization dimensions and returns a clear leakage profile in about six minutes. It's built from 27 years of technology leadership across Fortune 500 and growth-stage companies — the same lens a fractional Chief AI Officer would bring to a portfolio review, where the goal isn't to launch more pilots, but to capture the value from the ones already running.
What the AI ROI realization assessment measures
ROI realization is a profile, not a single number. The assessment scores six dimensions independently so you can see where you're capturing value and where it's leaking: Baseline & Measurement (do you know what the 'before' state was), Adoption & Usage (are the people you bought it for actually using it), Value Capture (are you tracking dollars, hours, or output per initiative), Iteration & Improvement (do you re-engineer underperformers before declaring loss), Attribution & Causality (can you defend the AI contribution to Finance), and Scaling & Portfolio Discipline (do you kill what isn't working and reinvest in what is). The final question maps where you most suspect ROI is leaking — pilot limbo, adoption gap, measurement blind spots, attribution confusion, vendor lock-in, or initiatives kept alive too long.
Why the post-pilot, pre-scale gap is eating enterprise AI budgets
Most enterprise AI portfolios are full of initiatives that proved something in pilot and then quietly never scaled — and were also never killed. Procurement keeps renewing, vendor dashboards keep reporting activity, owners keep claiming directional wins, and the budget line keeps growing. Meanwhile Finance can't reconcile a single hard dollar of return, productivity gains never show up in headcount plans, and the few initiatives that are working get crowded out by the ones that aren't. The companies pulling away from their peers aren't running more pilots — they're running a monthly portfolio process with baselines, kill criteria, and Finance-validated attribution that forces every initiative to earn its place.
What you get at the end
You'll see an overall AI ROI realization score, a band that describes where you stand (from Spend Without Return through Compounding Returns), a per-dimension breakdown, and a map of where you suspect the most ROI leakage. From there you can request a personalized video walkthrough — a short, recorded read on your specific results and what a fractional Chief AI Officer engagement would do to recover value from the AI you've already paid for. No generic sales deck.
Frequently asked questions
What is an AI ROI realization assessment?
It's a structured evaluation of whether your organization is actually capturing value from the AI it's already deployed, not whether you should buy more AI. It measures the six disciplines that separate AI investments that earn out from the ones that quietly become budget line items: baseline measurement, adoption, value capture, iteration, attribution, and portfolio discipline.
How is this different from an AI readiness assessment?
Readiness measures whether you can adopt AI successfully. Realization measures whether the AI you've already adopted is actually paying off. If you've spent meaningfully on AI in the past 18–24 months and your CFO is starting to ask 'what did we earn?', this is the assessment for you.
Is the assessment free?
Yes. The assessment and your scored results are completely free. You can optionally request a personalized video walkthrough of your results, which is also free.
Who is this assessment for?
It's built for CFOs, CEOs, CIOs, and Chief AI Officers at companies that have already invested in AI and are now trying to figure out which initiatives are actually paying off, which are stuck in pilot limbo, and where to redirect capital next. It assumes you have AI initiatives in flight — not that you're starting from scratch.
How long does the assessment take?
About six minutes. It's 18 scored questions across six dimensions plus a final leakage-mapping question covering pilot limbo, adoption gap, measurement blind spots, attribution confusion, scope creep and vendor lock-in, and initiatives killed too late. Your progress auto-saves, so you can leave and resume without losing answers.