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Try Merck & Co.validationAnnex 22Discovery

    Frameworks

    I take an artificial intelligence (AI) idea through four stages, in order: Discovery, Assessment, Solutioning, then Adoption and Improvement. Discovery looks at how the work runs today and finds the steps worth a closer look. Assessment decides whether one of those steps is worth building, and how much checking it needs. Solutioning chooses how to build it and proves the design phase by phase. Adoption and Improvement gets the result into people's daily work and keeps checking it once it is there. What it learns feeds the next round of Discovery, so the stages work as one loop.

    AI idea lifecycle: the four framework stages in a loop. 1 Discovery leads to 2 Assessment, then 3 Solutioning, then 4 Adoption and Improvement. It feeds back into Discovery, so the four stages form one loop.

    Stage 1

    Discovery

    AI Project Discovery Framework

    Lock how the work runs today and what it costs. Then list the steps worth assessing, where AI is one possible answer and often not the right one.

    See the framework

    Stage 2

    Assessment

    AI Project Assessment Framework

    Decide how much checking a candidate AI use case needs, and whether it is worth building.

    See the framework

    Stage 3

    Solutioning

    AI Solutioning Framework

    Choose and design the route for an AI idea that has passed assessment, then prove it phase by phase before you scale.

    See the framework

    Stage 4

    Adoption and Improvement

    AI Adoption and Improvement Framework

    Getting the chosen solution into people's daily work, then checking a sample of the answers to see how often they are right, how much reviewers change them, and whether people keep using it.

    See the framework