ProdagoChoose the right AI use cases
Identify opportunities from your objectives, select and prioritize them on evidence, and say no with a reason. Before a single proof of concept starts.
Request a demoThere is no shared frame for what a good opportunity is, so everything gets assessed, or nothing does.
Value, readiness and risk are argued in meetings, not measured, and the loudest voice wins.
Without evidence, a no is political. So nobody says it, and the portfolio fills up.
Opportunities are captured against your objectives, services and processes, not against technologies. The question is what the organization needs to do better, then where AI fits.
Each use case is scored on value, readiness (people, process, technology, data), impact and context, from a structured questionnaire rather than a pitch. Same questions for every idea, so the scores compare.
A gate decision with its reasons, a timeline bucket (now, next, later), and a build or buy orientation. The no is documented, which is what makes it sayable.
The risk profile of the use case decides how much governance it will need before it is selected. The cost of controls is part of the choice, not a surprise after it.
Every opportunity, its scores, its status and its decision, in one place, for the committee that decides and the teams that wait.
The selection frame, the questionnaire and the scoring model are pre-built. Your first prioritization session can happen in weeks, with your own opportunities.
A prioritized portfolio in weeks, instead of a year of pilots that decide nothing.
Selection on evidence that everyone saw, with the same questions for every idea.
A documented rationale for every yes, every no and every not yet, ready for the committee and for the audit.
Governance that is already built, automated end to end, so your AI ambition moves at the speed you intended.
Request a demo