Problem Statement Themes
Five focus areas that organize 50+ problem statements into the patterns enterprises encounter repeatedly—from delivering AI context and governing compliance, to making APIs discoverable, controlling costs, and preparing developer workflows for agents.
How organizations deliver the right context (tools, docs, discovery, structure, governance metadata) to copilots and agents—so AI can reliably find, understand, and use internal and 3rd-party capabilities.
Policies, controls, review processes, auditability, identity/auth, and guardrails required to safely operate APIs, MCP servers, and agents in enterprise environments.
Making APIs, MCP servers, capabilities, and related artifacts findable and reusable—reducing duplication and sprawl, and enabling teams to confidently build on what already exists.
Operational realities of running integrations and AI at scale—visibility, reliability, lifecycle operations, and cost controls (FinOps) across APIs, MCP servers, and agent runtimes.
Making day-to-day developer workflows agent-operational across IDEs and repositories—so copilots and agents can safely and reliably assist with build/run/test/review/ship work.