Tool sprawl breaks processes — add structure, not another AI

Mid-market and SMB organizations are drowning in tool sprawl—the average company now uses 80+ apps—creating fragmented processes, manual handoffs, duplicated spend and audit blind spots. This pain is acute for roughly 3.5 million mid-market and SMB customers globally who each spend about $35,000 per year on SaaS tooling, and for the finance, IT and ops teams that must justify spend and prove outcomes. The product to build is a process-first orchestration layer that adds structure, not another generative AI toy: automatic discovery of applications and data flows, LLM-assisted inference to map and translate informal processes into executable workflows, a low-code orchestration engine, and procurement-facing dashboards that tie spend to outcomes. Delivered as a SaaS subscription with tiered pricing per company or per managed app stack, the platform should prioritize non-invasive integrations, privacy-preserving inference, and audit-ready logging so it can be adopted incrementally. This is an attractive moment: a $122.5B addressable market and strong macro tailwinds—SaaS sprawl, maturation of LLMs that reduce manual mapping effort, and rising procurement scrutiny are converging to create demand. To stand out against a medium-competition field you must be explicit about strengths and challenges: differentiation will come from a process-first design, measurable ROI tied to cost and efficiency KPIs, tight finance/IT integrations, and go-to-market via channel partners and vertical pilots; the main risks are integration complexity, change management adoption, and the need to build credible ROI proofs early.