Find out if your business is actually ready for AI.
A structured set of focused workshops that tells you, with evidence, what to fund, what to defer, and what to walk away from — before you've committed the budget.
Most readiness scores are vibes. Ours has receipts.
Boards keep asking the same question: are we behind on AI? The honest answer almost never lives in a vendor demo. It lives in your data quality, your delivery culture, your security posture, and how your operators actually spend their day.
Our readiness engagement is a structured series of focused workshops — short, sharp, and built on observed evidence rather than interview confidence. You leave with a defensible plan, a costed roadmap, and the dissenting view from inside our team.
Built for the work — not for the deck.
Data foundations review
Where your data lives, who owns it, and how much of it would survive a model audit. Includes lineage, classification, and consent posture.
Operator interviews
Focused conversations with the people who actually do the work — the strongest predictor of adoption is whether they're sick of the current way.
Process mining
We instrument three to five candidate workflows and measure them. Wishful estimates of time-saved get replaced with telemetry.
Risk and governance baseline
How your existing controls hold up when models start touching customer data. Mapped to ISO 42001 and the EU AI Act risk tiers.
Platform fit assessment
Azure OpenAI, Copilot Studio, Microsoft 365 Copilot, or bespoke — we score each against your stack and stop you from buying the wrong layer.
Costed delivery plan
A 12-month plan with named workstreams, ranges (not point estimates), and the assumptions we used. Designed to survive contact with a CFO.
A measured, honest path from idea to production.
Frame
An exec alignment workshop to anchor what 'good' means for your organisation. Without this, every readiness score is just a number nobody trusts.
Discover
Dedicated workshops with your data, operations, and security teams. We examine the work directly — not through slides or second-hand summaries.
Score
Eleven-axis scorecard, evidence cited per axis. You can challenge any score and we'll show our working.
Plan
A final workshop to walk through the roadmap — naming first-quarter funded work, the things we'd defer, and the experiments that warrant a kill date.
Patterns clients keep coming back for.
Pre-board AI proposal
We've packaged the readiness workshops specifically for boards being asked to fund a multi-million-dollar AI program — the output is a defensible Yes, No, or Not Yet.
Post-pilot stocktake
Used by clients who've run six to ten AI pilots and need to decide which one earns a budget line. Pilots don't die from being wrong — they die from being unowned.
M&A readiness
Acquirers increasingly want to know what the target's AI debt looks like. We run a compressed readiness study as part of tech-side diligence.
What good looks like.
- A board-ready point of view backed by evidence, not optimism.
- A 12-month roadmap with named owners and honest cost ranges.
- Clear, prioritised remediation for the three or four foundations that block everything else.
- A shortlist of the AI bets worth funding — and the ones we'd quietly retire.
- Documented controls mapped to ISO 42001, NIST AI RMF, and the EU AI Act.
The questions clients ask first.
How is this different from a vendor's free assessment?
Do you need access to our production data?
Can we run this alongside a current project?
What happens after the workshops?
Let's scope a first conversation.
Tell us what you're trying to do. We'll come back with a point of view, not a sales pitch.