A clear-eyed view of where AI will and will not move your business.
A 4-week assessment that separates real AI opportunities from hype.
Most 'AI strategies' are slideware
Vendors are selling AI as a panacea. The board wants 'an AI strategy'. Your team has a list of 30 ideas, half of which would not survive a basic feasibility check.
You suspect 80% of the proposed use cases are wishful thinking — but proving it with rigour takes time you do not have.
We've assessed AI readiness for everyone from early-stage SaaS to enterprises. We start by ruling out the bad ideas honestly — including our own.
How we audit
- 01
Inventory the use cases
Every AI idea on the table — internally generated or vendor-pushed.
- 02
Score for value and feasibility
Each scored on business value, feasibility (data, compliance, technical), and uniqueness vs alternatives.
- 03
Recommend a portfolio
2–3 prioritised builds, 5–8 watch-list, the rest ruled out with explanation.
What good looks like
You walk away with a defensible roadmap, board-ready, that focuses spend on what works.
A short-list
The 2–3 use cases worth building first, with effort and impact estimates.
Killed bad ideas
Honest assessment of what to stop pursuing.
A plan board can fund
Clear deliverables, costs, and success criteria.
Proof
70% of proposals deprioritised
A 30-idea AI backlog reduced to 4 prioritised builds. The deprioritised ideas saved an estimated $1.2M in misallocated spend.
— Enterprise services firm
Frequently asked questions
4 weeks. Two weeks of interviews and assessment, two weeks of synthesis and recommendation.
Ready for an honest assessment?
Send us your AI backlog. We'll tell you what we'd kill, build, and watch.