AI Use-Case
RICE Scoring Matrix
Stop funding AI Proof-of-Concepts that nobody wants.
Every Department Has an Idea
When organisations announce an AI initiative, every department submits a proposal. Without a rigorous evaluation framework, companies waste millions building "cool" AI tools that lack data readiness, require massive engineering effort, or solve problems nobody actually cares about. The result: a graveyard of POCs and a board that has lost confidence in AI investment.
Four Unforgiving Criteria
We apply aggressive product management rigour to enterprise AI ideation. Every proposed initiative is scored against four dimensions before a single line of code is written.
How many people benefit?
Will this AI tool save 10 hours a week for 5 people, or 1 hour a week for 5,000 people? We prioritise initiatives that deliver systemic organisational leverage.
What is the business value?
We quantify the outcome. Does this AI workflow reduce MTTR by 40%? Does it automate 80% of quarterly financial reporting? If the impact cannot be measured, it does not get built.
Can we actually pull this off?
We assess data readiness, security classification, and organisational maturity. Do we have the clean, structured data required? Do we have the executive sponsorship to enforce adoption?
What is the true cost?
We calculate the total cost of ownership — not just the API calls, but the engineering hours, the change management effort, and the ongoing maintenance of the AI model.
An objective, prioritised AI roadmap.
You will know exactly which projects to fund immediately for quick wins, which to incubate for the next quarter, and which to kill before they drain your budget. Every decision is backed by data, not politics.
Ready to prioritise with precision?
We can run a RICE scoring workshop with your leadership team and deliver a prioritised AI initiative roadmap within two weeks.