About AI Radar
A self-serve tool for AI opportunity discovery — built to help organizations move from "where could AI help us?" to a prioritized, evidence-backed shortlist.
What it is
AI Radar maps the AI opportunity landscape for business teams. It gives you structured, implementation-ready profiles for 200+ AI use cases — covering data needs, AI methods, integration points, effort levels, and real-world evidence — so you can evaluate and compare opportunities without a heavy consulting engagement.
What's in the catalog
- 200+ AI use cases across all major business functions
- Structured profiles with business KPIs, data requirements, AI methods, and implementation considerations
- Case studies and real-world adoption evidence from publicly documented deployments
- AI Solution Space: an interconnected knowledge graph of 500+ AI technologies, algorithms, and model families
Methodology
Use cases are identified and structured from multiple source types:
- Academic literature — peer-reviewed research on AI applications and their outcomes
- Industry press and case studies — documented deployments from enterprise and mid-market companies
- Analyst and think-tank reports — sector-specific AI adoption assessments
- Vendor documentation — technical implementation guides and product case studies
Each use case profile is structured, normalized, and enriched to make it comparable across dimensions: business function, effort, data readiness, and evidence strength. The catalog is regularly updated as new evidence emerges.
Key features
- Faceted filtering by business function, industry, complexity, and AI method
- Side-by-side comparison of up to 5 use cases across key dimensions
- Shortlist with personal notes
- Interactive knowledge graph linking use cases, AI technologies, and model families
Contact
To suggest a use case, report an error in existing data, or ask about the methodology, use the feedback link in the app navigation.
Browse the use case catalog →