AI & Automations
AI Strategy & Readiness
Where AI will pay off, and what has to be true first
Most organizations know they should be doing something with AI, but not where it will genuinely pay off or what has to be in place first. We look at your processes, data and risks, find the few use cases worth pursuing, and give you a practical plan to deliver them safely.
- Use case discovery
- Prioritization
- Data readiness assessment
- Build, buy or partner
- AI governance and policy
- Roadmap and business case
Why it matters
The hardest part of AI is not the model. It is choosing the right problem, having the data to solve it, and agreeing the rules before anything goes live.
What this includes
Six parts of the work. Which of them you need depends on where you are starting from, and we agree that before anything is built.
- 01
Use case discovery
Workshops with your teams to find where AI could save time, reduce errors or improve decisions.
- 02
Prioritization
Each use case scored on value, feasibility, data availability and risk, so effort goes where it counts.
- 03
Data readiness assessment
A review of whether the data each use case needs exists, is accessible and is good enough.
- 04
Build, buy or partner
Whether each use case is best served by an off-the-shelf tool, a platform feature or a custom build.
- 05
AI governance and policy
Guidelines for approved tools, data handling, human review and accountability.
- 06
Roadmap and business case
A sequenced plan with effort, dependencies and the measures that show whether it worked.
Not sure which of these you need?
Tell us where things stand for you today and we will suggest where to start.
How we deliver it
Four stages, agreed with you before the work starts, with a working result at the end of each rather than one reveal at the end.
Discover
We interview leadership and teams and map where time and effort are being spent.
Assess
We review data, systems, skills and risks against the candidate use cases.
Prioritize
Use cases are scored and shortlisted with you, and a pilot candidate is chosen.
Plan
We deliver the roadmap, the governance guidance and a pilot plan ready to start.
The stack
Technologies we work with
The tools we reach for most often in this work. We fit in with what you already run rather than asking you to change it.
3 groups
- 01 / 033
Frameworks
- Use case scoring
- Data readiness assessment
- NIST AI Risk Management Framework
- 02 / 034
Platforms assessed
- Microsoft Copilot
- Azure OpenAI
- Amazon Bedrock
- Google Vertex AI
- 03 / 032
Workshops
- Miro
- Microsoft 365
What you receive
Yours to keep when the engagement ends, whether we carry on working together or not.
A use case portfolio
Every candidate use case, scored and ranked, with the reasoning behind each score.
A data readiness report
What data exists, where the gaps are, and what closing them involves.
An AI usage policy
Practical guidance for staff on approved tools, permitted data and review.
A roadmap and pilot plan
The first use case to build, how to measure it, and what follows.
Common questions
The ones that come up in almost every first conversation about this work.
No. This engagement is designed for that starting point. We explain the options in plain terms and focus on use cases that fit your data and team today.
Only where it fits. We compare the options against your needs, including tools you may already own, and share the reasoning.
You get a pilot plan that any team can deliver. We can build it with you, or hand it to your own team.
Let's talk about AI Strategy & Readiness
A short call is usually enough to work out whether we can help and where it makes sense to start. No preparation needed.
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