The problem we solve
Every board now has AI on the agenda, and most organisations have the same three problems. Pilots that impressed in a demo and stalled in production. Data that is not ready for the models people want to run on it. And no agreed view of which use cases are worth the money, so effort scatters across whatever the loudest vendor is selling.
AI Readiness gives you a clear starting point, a ranked set of use cases by value and feasibility, and a practical path from experiment to systems that deliver measurable outcomes.
Who this is for
- Chief executives and boards who need an independent view before funding an AI programme.
- Operations and technology leaders whose pilots have stalled and who need to know why.
- Membership bodies and professional institutes with rich data and thin technical teams.
- Mid-market businesses that cannot afford a failed first attempt.
Not a fit if you want a vendor's platform validated. We are independent of every tool we recommend.
What you get
AI maturity assessment. An honest read on data infrastructure, technical capability, skills and governance, with the gaps that must close before AI pays back.
Use cases ranked by value. Processes, decisions and customer interactions where AI can cut cost, grow revenue or lift service, scored on impact and feasibility, with the ones to avoid named.
Data readiness plan. Quality, availability, governance and integration requirements, with practical fixes in priority order.
Pilot design that proves something. Targeted experiments with success criteria agreed up front, so a pilot either earns its scale-up or is stopped early.
Adoption and operating model. Training, communication, and the changes to roles and workflows that make AI part of daily work rather than a side project.
Governance you can show a regulator. Policies, controls and decision rights that manage risk and keep trust in automated decisions.
How it works
AI Readiness Assessment (4 weeks). Interviews, data and systems review, a use case workshop, and a board-ready report with a funded roadmap.
Pilot to Production (8 to 12 weeks). We design and build the first use case with your team, measure it against the agreed criteria, and hand over something that runs.
AI Advisory. A senior advisor alongside your leadership team as the programme scales, including vendor selection and governance.
What clients see
"One of the few agencies that I have used that really sees the big picture."
Chief Executive, UK professional body
Clients use this work to secure board funding, stop pilots that were never going to scale, and move their first AI use case into production with measurement in place.
Why Good Analysis
We build AI systems as well as advise on them, so the assessment is grounded in what it actually takes to run a model in production, not in a vendor's slide. Experience across commercial and non-profit organisations means we know how real teams adopt new tools and what gets in the way.
The aim is not to transform everything at once. It is to build AI capability that compounds, starting with the use case that pays for the next one.