[{"data":1,"prerenderedAt":121},["ShallowReactive",2],{"download-toolkit-ai-prioritization-toolkit":3},{"post":4,"related":120},{"id":5,"title":6,"body":7,"description":94,"extension":95,"featuredImage":96,"featuredImageAlt":97,"fileUrl":98,"form":99,"meta":104,"navigation":105,"path":106,"publishedAt":107,"relatedSlugs":108,"seo":109,"stem":112,"subheading":111,"tags":113,"type":118,"__hash__":119},"downloads\u002Fdownloads\u002Ftoolkit\u002Fai-prioritization-toolkit.md","From a Business Goal to a Single Defensible AI Use Case. Two Frameworks. One Decision.",{"type":8,"value":9,"toc":84},"minimark",[10,14,17,22,27,50,54,74,78,81],[11,12,13],"p",{},"Most teams skip from a business goal straight to a specific AI feature. They bypass the two decisions that determine whether the initiative survives contact with production: which AI pattern actually fits the problem, and which use case justifies going first.",[11,15,16],{},"This toolkit gives your team a structured process for both decisions. Step one maps your business gain type to validated AI patterns. Step two scores those candidates on business value against real implementation risk - and produces one starting point the entire team can defend.",[18,19,21],"h2",{"id":20},"whats-inside","What's Inside",[23,24,26],"h3",{"id":25},"step-1-from-gain-type-to-ai-pattern","Step 1: From Gain Type to AI Pattern",[28,29,30,38,44],"ul",{},[31,32,33,37],"li",{},[34,35,36],"strong",{},"15 validated AI patterns"," organized by four gain types - new revenue, streamlined product, improved core service, and operational efficiency - so you start from what's been proven, not what sounds exciting.",[31,39,40,43],{},[34,41,42],{},"The three selection criteria"," that determine feasibility - data readiness, metric alignment, and production validation - and how to evaluate each before committing engineering time.",[31,45,46,49],{},[34,47,48],{},"How to run the mapping session"," - which roles need to be in the room, what each lens brings, and why the best ideas emerge when product, design, engineering, and AI perspectives collide.",[23,51,53],{"id":52},"step-2-the-gains-vs-risk-complexity-matrix","Step 2: The Gains vs. Risk & Complexity Matrix",[28,55,56,62,68],{},[31,57,58,61],{},[34,59,60],{},"A structured 2-axis scoring system"," - expected gain (revenue, cost, velocity, risk) vs. implementation complexity (data availability, technical feasibility, adoption risk, regulatory exposure) - with clear criteria for each dimension.",[31,63,64,67],{},[34,65,66],{},"Quadrant logic that dictates action"," - immediate priority, strategic bets, quick wins, and explicit \"do not pursue\" - so every candidate gets a verdict, not a vague ranking.",[31,69,70,73],{},[34,71,72],{},"How to run the scoring session"," - why independent scoring before discussion matters, and why the gap between a product lead's \"low complexity\" and an engineering lead's \"high complexity\" is the most valuable insight in the room.",[18,75,77],{"id":76},"who-this-is-for","Who This Is For",[11,79,80],{},"Leadership teams at product companies who have a business goal and a metric - and need a structured path from \"what AI could work here\" to \"which one do we build first.\"",[11,82,83],{},"If your team is past the exploration phase and ready to make a defensible investment decision, this is the exercise that gets you there.",{"title":85,"searchDepth":86,"depth":86,"links":87},"",2,[88,93],{"id":20,"depth":86,"text":21,"children":89},[90,92],{"id":25,"depth":91,"text":26},3,{"id":52,"depth":91,"text":53},{"id":76,"depth":86,"text":77},"Two frameworks that take your team from business goal to one defensible AI use case - mapping gain types to validated patterns, then scoring candidates on value vs. complexity.","md","\u002Fimages\u002Fdownloads\u002Ftoolkit-cards.png","AI Prioritization Toolkit cards preview","https:\u002F\u002Fprosperaize-downloads.s3.eu-west-1.amazonaws.com\u002Fai-prioritization-toolkit.pdf",{"intro":100,"ctaHeading":101,"ctaBody":102,"submitLabel":103,"cardsImage":96},"Two structured frameworks that help teams go from a business goal to one defensible AI use case - by mapping gain types to validated patterns, then scoring candidates on business value against implementation complexity and risk.","Get your free resource now.","From the Prosperaize AI Strategy Framework - the two prioritization steps that turn a list of AI ideas into one validated starting point.","Download the frameworks",{},true,"\u002Fdownloads\u002Ftoolkit\u002Fai-prioritization-toolkit","2026-04-23",null,{"title":110,"description":111},"AI Prioritization Toolkit - From Gain Type to First Use Case","A two-step toolkit that takes your team from \"what kind of AI could work here\" to \"which one do we build first\" - with structured scoring, clear criteria, and a process designed to surface the disagreements that save you quarters of wasted effort.","downloads\u002Ftoolkit\u002Fai-prioritization-toolkit",[114,115,116,117],"AI Strategy","Prioritization","Use Cases","Frameworks","toolkit","hAdKBDSFa6tKa1wYDG9Tvr-0QXVlW8KSutP6ywyh4rY",[],1777448487210]