Turn scattered AI prompts into reusable, team-shared automated routines

Many organizations—product teams, sales ops, customer support, and other knowledge workers—now suffer from prompt sprawl: single-use prompts scattered across Slack, docs, browser tabs and personal notebooks that produce inconsistent outputs, duplicate effort, and hidden cost. That fragmentation makes it difficult to reproduce work, enforce access controls, and scale AI-driven processes reliably across teams. You could build a platform that turns scattered prompts into modular, versioned "routines" that chain LLM calls, attach connectors to CRMs, docs, and ticketing systems, and expose both a low-code UI for business users and an SDK for developers. Core features would include one-click import from Slack/Docs, testing and provenance, role-based access, cost and latency analytics, and a gallery of reusable, auditable workflows. The market timing is favorable: an estimated $38.4B addressable market (320M knowledge workers × $120/year) with a market score of 95/100 and revenue potential rated 94/100, driven by trends toward AI-first workflows, team collaboration, and a plug-in economy. Enterprises are increasingly looking for shared, governed AI assets rather than ad-hoc prompts, which creates a window to capture adoption. To stand out, focus on enterprise-grade governance, deep pre-built integrations with major platforms, and rigorous testing/provenance so teams can trust and reuse routines instead of recreating them. Be honest about the challenges: broad integration work, persuading teams to centralize what they currently control individually, and competing with platform incumbents and automation tools will require demonstrable ROI, strong security guarantees, and rapid time-to-value.