We’ve spent the last few months talking to AI-native teams across fintech, health, legal, and other high-stakes domains. A consistent theme came up: while everyone is investing heavily in LLMs — evals, prompt/model tuning, model experimentation — almost no one has a clean way to integrate human review into production workflows.
Most teams are stuck cobbling together brittle systems: Slack alerts when models are uncertain, spreadsheets to track review outcomes and result quality, manual tagging and triage by engineers, business teams waiting on dev cycles to change rules and integrations.
We built Coherence to solve this. It’s a control plane for production AI that brings structured human oversight into your app with just one simple API call. With Coherence, teams can: Route edge cases to the right human reviewer in real-time, let business users own the rules and thresholds with no dev time required, monitor what’s being flagged and how it’s resolved, improve AI behavior over time via structured feedback loops.
If you’re deploying AI where correctness matters — and spreadsheets aren't cutting it — we’d love your thoughts. We're currently looking for more design partners and early users to help us shape a great product!
https://www.withcoherence.com/
