Stop forwarding messages — AI routes Gmail & Slack to the right teammate

Many teams — from 10-person remote startups to 5,000-employee product organizations — still rely on manual forwarding inside Gmail and Slack to get messages to the right person, which creates delays, context loss and repeated work across support, ops and engineering. Across an estimated 2,000,000 target organizations this pattern accumulates into measurable productivity drag and frequent missed SLAs for customer-facing teams. You could build an AI routing layer that connects via Gmail and Slack APIs to classify incoming messages, map intent to roles or individuals, and either deliver directly or create a routed ticket with explainable reasons and an audit trail. The product should include human-in-the-loop overrides, admin controls for privacy and compliance, measurable SLA tracking, and lightweight onboarding so teams see value in days rather than months. This is an attractive moment: the TAM is roughly $8.0B (2,000,000 organizations × $4,000 ARR of routing/automation spend), workplace-AI adoption is accelerating and API-first collaboration stacks make integration straightforward, giving a market score of 88/100 and revenue potential rated 70/100. Distributed teams and remote-first hiring mean more organizations need explicit routing to avoid knowledge silos, so buying intent is rising even among SMBs. To stand out you’ll need demonstrable routing precision, clear privacy and security controls, transparent explanations for every decision and a low-friction install that doesn’t require mailbox takeover; verticalized models and measurable ROI benchmarks will help win enterprise accounts. Be candid about challenges: competition is medium, platforms can change APIs or policies, and you must overcome an initial trust hurdle where mistakes are visible and costly.