THE PROBLEM
Adopting AI should not require replacing your software.
Many companies assume that working with AI means migrating to new platforms: long, costly projects that put the operation at risk. Meanwhile, your business knowledge lives in the systems you already use every day. Replacing them to get AI inverts the equation: the new software knows nothing about your operation; your current systems know everything.
HOW IT WORKS
A bridge between your systems and AI models.
We use MCP (Model Context Protocol), an open standard adopted by the major AI labs, to build connectors between your systems and models like Claude. The connector translates: the AI asks, your system answers. We never need your software’s source code, and your data stays under your control, read-only by default.
- Modern systems with an API: the connector integrates directly with the interface your software already exposes.
- Legacy or custom-built systems: we connect at the database level, documenting your schema along the way.
- Closed systems with no API or data access: we work through exports, reports, and interface automation.
WHAT YOUR OPERATION GAINS
Questions in plain language. Answers from your own data.
Your team checks inventory, receivables, or a customer’s history by talking to the AI — no longer depending on the one person who knows how to use the system. Reports that took days of manual work are generated in minutes. And because MCP is an open standard, the connection works with Claude and with any frontier model: your investment is never tied to a single vendor.