Integrations fail at the edges, so the edges get the most care. For payments and carrier updates, webhooks and event-driven calls beat polling, because the other system announces each change instead of waiting to be asked.
A sound integration verifies each webhook's signature. It accepts repeats safely through idempotency keys, which make a duplicate message harmless, and it queues work so busy periods never overwhelm it. A dropped connection becomes a retry, never a missing order.
It raises an alert the moment a sync stalls. It is tested against the provider's sandbox first and follows a versioning plan, so a provider's change arrives as news rather than a surprise.
The newest thing to connect is an AI assistant. A Model Context Protocol (MCP) server lets an assistant read your data and run the actions you approve through one governed connector. It brings OAuth-based authorization, a clear set of allowed actions for each tool and a full record of every request.
The protocol is open and works with the leading AI assistants, and every connection is approved through one trusted sign-in, so your data stays in the hands you choose.
When you want an assistant working on your own records, AI connector development builds the MCP server for your systems. When partners need to reach yours, API development gives your platform an interface they can call.
Connected data also feeds the AI and reporting we build, from AI applications to internal dashboards.
Our AI development services cover the full range.
