Ten yes / maybe / no questions across data, infrastructure, team, governance and business case. You get a 0–100 score, a readiness band, and three concrete next actions. Takes about two minutes.
Do you have one place where customer data is canonical, rather than five spreadsheets and three CRMs disagreeing?
Is your historical data tagged or annotated in a way an ML model could learn from?
Do you have an API layer that exposes your core data — so AI tools can read and act on it without going through screens?
Is your stack on AWS, GCP, or Azure?
Do you have someone senior on staff who can own an AI integration, including the boring parts (evals, prompts, fallbacks)?
Is your team comfortable putting features behind flags, doing canary rollouts, and rolling back fast when something misbehaves?
Do you have a documented policy that says what data is sensitive, what can be sent to third-party AI APIs, and what cannot?
Is there a named executive accountable for AI initiatives — not just enthusiastic, but accountable?
Have you identified a measurable business KPI an AI feature would actually move (e.g. response time, conversion rate, churn)?
Have you sized the ROI in £/$ terms? Even a rough back-of-envelope number counts.
Answer all ten questions to see your score.
We'll send your score, the breakdown per category, and three tailored next actions you can hand to your team.
Book a free 30-minute call. We'll walk through your score and propose a six-week plan to close the most expensive gaps first.