Automate review workflows & approvals with intelligent routing

Teams that produce and approve documents, designs, contracts, or creative assets—legal, finance, product, and marketing—spend excessive time on manual routing, chasing approvers, and reconciling threaded comments. Across an addressable base of roughly 150 million knowledge workers and an estimated $30.0B annual spend (about $200/year per worker) on workflow and review tooling, this inefficiency is measurable and recurrent. You could build an intelligent review routing platform that automates approver selection, synthesizes comments using generative AI into concise summaries and suggested edits, extracts action items, and maintains tamper-evident audit trails while exposing composable APIs for integration into existing stacks. The timing is favorable: generative AI has matured enough to reliably summarize and suggest edits at scale, hybrid/remote work has increased asynchronous review needs, and organizations are explicitly buying modular tools rather than monoliths. Market score 90/100 and revenue potential 88/100 reflect a sizable, serviceable market with medium competition but clear whitespace for workflow-first products. You can differentiate by focusing on accuracy and trust—enterprise-grade security, explainable AI summaries, configurable routing rules, and deep, low-friction integrations with common content stores and communication tools—while pricing to demonstrate ROI within a 3–6 month payback for teams spending $10k–$50k annually on reviews. Expect challenges around change management, integration complexity, and the need to continuously validate and improve ML models against domain-specific language, but with a clear vertical-first pilot strategy and strong API-first product design this idea is worth testing further.