Frustrated by your AI project?
40% of enterprise AI projects will be cancelled by 2027. Take this assessment to discover what's holding you back and avoid being cancelled.
A assessment whether the AI project is positioned to create value, what is missing. and which decision needs attention.
AI Project Status
Decisions outstandingStrategy Alignment
Data Readiness
Systems Integration
Governance & Risk
Financial Risk
Verdict: Decisions outstanding · Focus first on: Financial Risk
Five things decide whether your AI project delivers.
Most AI projects stall on production delivery, not ambition, and almost always on one weak area nobody scored until it was too late.
The assessment scores each area against that bar and names the one most likely to stop your project reaching the outcome you promised.
Strategy Alignment
Checks whether the business case names the outcome you'll be judged on, who owns it, and when you'd pause, so you're never caught without an answer when leadership asks.
Data Readiness
Checks whether the data this project depends on is accessible, trusted, and already proven in use, not just promised in a slide you'll have to defend later.
Systems Integration
Checks whether your systems can carry this AI in real use, and whether anyone has modelled what it costs at full volume before the budget runs out.
Governance & Risk
Checks whether a named owner, closed policies, and a clear paper trail are in place, so the project keeps leadership's confidence instead of stalling under scrutiny.
Financial Risk
Checks whether you've measured the current cost, priced the whole life of the project, and planned for the months when AI running costs spike. The lens most project reviews skip until it's too late.
Clarity before you commit the next step.
An independent read on whether your AI project is set up to deliver, so you can show leadership it's on track, or reshape it early, before the spend and your reputation are on the line.
Three things you leave with:
1
A clear verdict
One of three plain-English verdicts: your project's decisions are settling, outstanding, or missing. A score out of 100 and the one area to fix first, so you can act today, not debate it in a committee.
2
The one area to fix first
Your weakest of the four areas, named, so you know exactly where the project is at risk and what to focus on next.
3
A one-page read for your team
Evidence you can share straight away to show your team the project is on track, or to make the case to reshape it.
Most AI projects don't make it. Yours can.
of AI projects are expected to be cancelled by the end of 2027 (Gartner)
of companies have had AI cost overruns in the past year (DOIT/SAPIO)
of companies miss AI spend forecasts by 25% (CloudZero)
Built from watching AI projects struggle to deliver.
I'm Tim, founder of Synaptix Solutions, with 22 years on the business owner's side of AI projects. Hundreds reviewed, three enterprise systems in production across workforces of 8,000 to 100,000 people.
In all the AI projects I've delivered, I kept seeing the same things:
- capable leaders stuck with projects that reshape again and again,
- missed budgets, and
- never quite got over the line, with no straight answer of success.
All those learnings are now rolled into an assessment framework to help you deliver production grade AI solutions.
I'm the independent read you get before you commit the next decision.
McKinsey QuantumBlack · AWS · BP · Hitachi · Capgemini · Cambridge Consultants
Leaders who got their project back on track.
A hotel procurement team found their vendor's data compliance claims didn't hold, putting their ISO certification at risk. This review across the four areas gave them a clear verdict and an RFP they could take to a vendor with confidence. The project was saved and leadership signed off.
A CIO's financial-answers agent was missing deadline after deadline with no clear reason why. This review pinpointed the gaps, and the team got a revised roadmap and a relaunch plan. The project was back on a credible path to delivery.
A healthcare group's AI triage pilot had stalled before go-live with no owner for clinical risk. This review named governance as the blocker and handed over a sign-off path leadership could stand behind. The project moved forward with confidence.
Before you start
Know if your AI project is on track.
In 60 seconds you'll have a clear verdict, the one area to fix first, and a one-page read you can take to your board. Enough to deliver with confidence, or reshape early for the right reasons. No vendor, no sales pitch, no transformation deck.
