Traditional filter-based catalog search doesn't match how developers think about their problems, leading to duplicate API development.

Multiple teams are independently building MCP integrations for the same third-party services without coordination or visibility.

Building an accurate catalog of APIs and services requires automated discovery rather than manual registration that developers resist.

Pat has been asked to drive API reuse but the organization has never defined what reuse means.

Pat realizes the organization has been focused on governance when the actual problem is that teams can't find what already exists.

Laura needs reuse metrics that show business impact, not just activity counts.

Riley has an accurate central API inventory but cannot account for APIs on teams' own AWS API Gateways.

Riley has a clean API inventory but needs to understand how APIs map to products and business capabilities.

Riley realizes reuse isn't just about whole APIs—it's about reusing schemas, data elements, headers, and parameters.

Riley was asked by leadership to answer how well they are reusing APIs and how they are incentivizing improvement.

Tina needs a mechanism during architecture review that provokes teams to assess existing capabilities before proposing new ones.

Noah needs a single catalog where internal teams can discover what 3rd-party APIs the organization uses.

Organizations need knowledge graphs and semantic layers to give AI agents structured, contextual understanding of API relationships, business logic, and entity models — not just flat catalogs.

Agentic browsers and AI-native workspaces are becoming the primary interface for discovering and consuming services — APIs need to be optimized for Generative Engine Optimization (GEO), not just traditional developer portals.

Enterprises need an internal registry of approved MCP servers that surfaces inside the developer IDE, acting as an allow-list so developers discover only vetted servers.

Iris finds that EHRs are deliberately disease-agnostic, so the right information is rarely captured at the first patient encounter — sending patients on multi-month detours through the wrong specialists. She needs disease-specific information models that scaffold what to capture and when.

Iris's project pulls in a vendor, a consultancy, a healthcare provider, and a university — each cares about a different slice of the same patient. She needs an interoperability fabric that lets every stakeholder see only what they should and contribute only what they own.

Iris and peers across Sweden are starting to ask the same question — how do we map raw vendor EHR records into open standards (OMOP, openEHR, FHIR) without doing it by hand for every region. She needs a declarative, reusable mapping layer that survives EHR vendor changes.