Stop vague AI ideas
Turn "we need AI" into named business problems, accountable process owners and measurable outcomes.
A practical strategy workbench for leadership, operations and technology teams to diagnose business problems, map processes, score AI opportunities, and produce a clear implementation brief before engaging consultants, vendors or app builders.
Editable workbook for facilitation, internal review and tailoring.
Tables, scoring sheets and chart data ready for workshop use.
Polished reference version for circulation and decision meetings.
Turn "we need AI" into named business problems, accountable process owners and measurable outcomes.
Separate symptoms from causes across process, data, systems, governance, capability and adoption.
Define the minimum viable pilot, integration needs, human controls and challenge questions before procurement.
Built for internal workshops, opportunity reviews, leadership alignment and implementation readiness.
Run a 1-day executive sprint, 1-week opportunity assessment, 30-day discovery or 90-day pilot design.
Good, weak and unacceptable answer examples help teams avoid shallow workshop output.
Use vendor and consultant questions to test assumptions, data readiness, control design and ROI claims.
Compare opportunities by value, effort, risk, theme and pilot suitability.
The workbench is designed to help an organisation arrive at a clear internal view before committing budget: what problem matters, where it sits, what data exists, what humans approve, what systems integrate, and what pilot should be attempted first.
The AI Strategy Workbench helps organisations assess AI readiness, map business pain points, identify AI use cases, prioritise pilots, and prepare a supplier-ready implementation brief.
Operations, asset management, infrastructure, facilities, engineering and transformation teams that need to improve process quality, decision speed, data use, reliability or knowledge access.
What business problem are we solving, which process owns it, what data is trusted, where must a human approve the outcome, and what should be piloted before a larger AI implementation?
An AI opportunity portfolio, current and future workflows, use-case canvases, data and system maps, governance controls, roadmap actions, benefit measures and vendor challenge questions.
The real cost of AI is rarely the first tool subscription. It is unclear scope, weak data assumptions, misbriefed suppliers and pilots that do not connect to a measurable business outcome.
Leadership, operations, technology, asset management, engineering, facilities and transformation teams.
No. The workbench guides the business diagnosis first, then helps you shape AI use cases and supplier questions.
Use the 1-day sprint for direction, a 1-week assessment for shortlist creation, or a 30-day discovery for a fuller roadmap.
Use it before hiring a consultant, vendor, app builder or delivery partner. Built for companies that need a structured AI roadmap without starting with a blank page.