Disconnected processes → unified AI-driven ERP & automated workflows

Many companies — from mid-market firms to SMBs — operate with disconnected processes across finance, supply chain, sales and HR, relying on spreadsheets, point tools and manual handoffs that waste time and introduce errors. This pain is broad: roughly 10 million businesses are potential buyers at an average $6K ACV, implying a $60B addressable market for a combined ERP and automation solution. You could build a composable, API-first platform that pairs lightweight ERP modules with AI-native workflow discovery and automated mapping, producing executable automations and orchestrations with minimal implementation effort. Core capabilities would include process mining from logs and documents, pre-built vertical connectors, low-code orchestration, and a self-serve onboarding path with optional professional services — designed to shorten time-to-live from months to weeks. The timing is attractive: AI enables dynamic workflow inference, composable stacks are mainstream, and SMB digitalization is accelerating (market score 92/100; revenue potential 90/100). To stand out, focus on demonstrable AI accuracy on heterogeneous data, a truly modular pricing and integration model that coexists with legacy ERPs, and a developer-friendly API layer plus vertical templates and partner channels to enable land-and-expand motions. Realistic challenges include medium competition from incumbents and niche automators, the need for high-quality training data, integration complexity, and building customer trust in AI-driven decisions — all solvable but requiring disciplined engineering, compliance focus, and upfront sales investment.