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.
We usually begin hourly while we map the system and learn your stack, then settle into a retainer or a fixed scope once the real work is clear. You hold the repo and the keys the whole way through.