Consolidate dozens of apps into one AI-driven operations platform

Small and mid-sized businesses—roughly 50 million globally—are increasingly burdened by app sprawl: many run dozens of SaaS tools, creating manual multi-step workflows, lost context, and recurring costs that add up to a $150B company-wide opportunity (≈$3,000 ACV per SMB). Operations, finance, and product teams especially suffer from time spent reconciling data and from redundant licenses, often translating into wasted headcount and tens of thousands of dollars per company annually. You could build an AI-driven operations platform that consolidates the operational layer across apps: a unified catalog of connectors (start with the top 20–50 apps), a low-code orchestration engine, LLM-powered assistants that automate cross-app processes and surface context, plus governance, SSO, and chargeback features for CFOs. An early go-to-market should target SMBs with 10–200 employees, with a clear milestone of 1,000 paying customers to reach roughly $3M ARR at a $3k ACV; technically this is feasible now because mature APIs and middleware shorten integration time and LLMs replace brittle point workflows. The market is unusually attractive today because LLM-driven automation, CFO/COO pressure to consolidate SaaS spend, and API maturity are converging to create demand and capability. To win you must deliver deep, actively maintained integrations, measurable ROI (real savings in the tens of thousands per customer), and enterprise-grade governance while accepting the hard challenges: integration maintenance, data-privacy and trust hurdles, and longer sales cycles when selling to finance and operations rather than engineering.