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AI strategy consulting that starts with an AI readiness assessment, not a slide deck of possibilities — know where AI pays off before you build anything.
Most AI strategy consulting engagements start backwards: a leadership team has already decided AI is the answer and wants help finding the question. We run the AI readiness assessment the other direction — mapping the processes and data actually available inside the organisation, scoring each candidate opportunity on a combination of realistic automation potential and estimated return, and only then discussing which technology approach fits, if any.
The output is a ranked list, not a menu. Every opportunity carries an honest build vs buy vs wait AI recommendation, because the internal-build option is rarely the right default and a vendor evaluation done properly up front saves months of engineering time spent reinventing a solved problem. Where the right answer is 'wait until the data infrastructure is in place,' we say so — a shorter engagement that saves a wasted year is a better outcome for everyone than a longer one that doesn't.
Discovery
Structured interviews and a data landscape audit across the processes leadership actually cares about.
Scoring
Every candidate opportunity scored on automation potential, data readiness and estimated ROI, ranked against each other.
Build vs. buy
A vendor-neutral recommendation per opportunity, with the reasoning shown, not just the conclusion.
Roadmap
A sequenced AI adoption roadmap your team can execute against, with a defined success threshold for the first initiative.
It scales with how many candidate processes and data sources are in scope, not a flat rate — a single-department assessment is a matter of weeks, an organisation-wide one is larger. We scope and quote the AI readiness assessment cost after an initial discovery conversation, not before we know what's actually being assessed.
Tell us the specifics. We'll give you a direct read on scope, timeline and whether it's a fit.