Agentic AI is not a demo for us. It runs real work across our products, every day. Here is what that looks like, and how it is built.
// Signals come in. The agent reasons, calls tools, and acts. A human reviews what matters.
Built on Anthropic's own SDKs.
We build our agents directly on Anthropic's tooling, the Claude Agent SDK and the Anthropic .NET package, and connect them to the systems they work in through MCP servers and purpose-built tools. People set the direction and hold the standard. The agents do the work in between, continuously and without drama.
Quiet, constant work, done well.
Agents watch for drift across our services and reconcile it on their own, before a mismatch turns into a support ticket.
They keep an eye on the third-party services our products depend on, catch failures and breaking changes early, and surface them with the context to act.
Agents drive our apps the way real users do, across flows and edge cases, and report what breaks before anyone else hits it.
When something looks wrong in production, an agent opens a draft pull request with a proposed fix and the evidence behind it, ready for a human to review.
Every example here runs against our own products. It is simply how WhiteCrane operates.
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