You already have automations, MCP connectors, and custom tools — each one works on its own. Cove turns that pile of parts into one system you can trust: clear ownership for every piece of data, hardened links between the tools, and a team that can keep it alive without us.
AI made it cheap to stand up the first version of almost anything — a skill here, a connector there, an automation knocked out over a weekend. The cost shows up later, when those pieces have to cooperate. Alone they behave; the moment they share data they start to disagree. One small change ripples into a break somewhere you weren’t watching — and the more you’ve built, the less you can trust any single part of it.
Cove cleans up the layer underneath the AI work your team has already shipped — who owns which data, how the systems actually talk, and what happens when one of them breaks. Source-of-truth decisions, connector contracts, agent and MCP access, tests, monitoring, docs, and a real handoff. The unglamorous part that decides whether everything on top of it holds.
Not a chatbot wrapper. Not a one-off Zapier cleanup. Not a dashboard we host forever. Not a dev shop burning down a ticket queue.
You’ve gotten further with AI than anyone expected — and now there’s more wired together than a lean team can comfortably hold in their heads. You don’t need a full-time platform team; you need a fractional AI engineer who takes ownership of the AI automation architecture under the work and leaves it sturdier than they found it.
Each sprint is scoped to a named outcome — a source-of-truth map shipped, a connector hardened with tests, a data layer your agents can actually reach — priced fixed before work starts. No hourly meter: if we finish fast, that’s our margin, not your bill. You hold the repo and the keys the whole way through.