AI Radar — Discover, evaluate, and prioritize AI use cases
Explore and evaluate AI use cases for your organization. Compare implementation requirements, data needs, and evidence to make informed decisions.
What AI Radar does
AI Radar is a self-serve tool that maps the AI opportunity landscape for business and product teams. Browse a catalog of 200+ AI use cases by business function, compare what each requires to implement (data, effort, technical stack), and review real-world evidence before deciding where to invest.
Unlike generic market reports, AI Radar gives you implementation-ready detail: the data sources you need, the AI methods involved, integration points, and case studies from companies that have already deployed each use case — so you can move from "where could AI help us?" to a prioritized, feasibility-checked shortlist.
Who it's for
- Business and product leaders mapping AI opportunities across their organization
- Strategy and transformation teams building AI roadmaps with evidence-backed prioritization
- Digital innovation consultants accelerating client workshops and opportunity assessments
- Operations and functional managers understanding what AI can realistically do in their domain
Key features
- 200+ AI use cases with structured profiles: description, business function, KPIs, evidence, and implementation requirements
- Faceted filtering by business function, industry, complexity, and AI method
- Side-by-side comparison of up to 5 use cases
- Shortlist with personal notes and tags
- AI Solution Space — an interconnected map of 500+ AI technologies, algorithms, and model families
Featured AI use cases
Enterprise Risk Analytics
AI supports risk review by summarizing information, preparing management analysis, and surfacing risk signals for finance and leadership teams.
Finance & AccountingDrug Discovery
AI helps drug discovery teams connect biological evidence, rank hypotheses, and generate DMPK, safety, and repurposing insights earlier in the discovery process.
Product DevelopmentAutonomous Driving
Automotive teams use AI to process vehicle data, generate training labels, and speed up testing and debugging for autonomous-driving systems.
Product DevelopmentCustomer Support Automation
AI handles customer service requests, drafts responses, and routes routine issues so support teams can resolve cases faster.
Customer SupportFraud Detection
Banks and public agencies use machine learning and graph analysis to score transactions, calls, and connected accounts for fraud signals in real time.
Finance & AccountingCode Generation
AI coding tools help software teams write, revise, test, and explain code inside their development workflow.
IT & DevOpsBrowse all 6+ use cases →