Custom Model Context Protocol servers that expose your ERP, SQL Server, or internal APIs to Claude and other AI assistants: read-only first, permissioned, logged.
Working agents for specific jobs: answering order-status questions, drafting quotes from spec sheets, triaging support email. Scoped to one workflow, measured on results.
Claude or ChatGPT wired into your existing software with proper auth, rate limits, and fallbacks, not a demo that dies in week two.
A short fixed-price assessment: which of your workflows AI can actually help with, what the data plumbing costs, and what to skip.
read-only first · human approval gates · your data stays in your tenancy
Common questions
What is an MCP server and why would my business need one?
MCP (Model Context Protocol) is the open standard that lets AI assistants like Claude connect to your systems: your ERP, your database, your file shares. An MCP server is the secure adapter in between. With one, your team can ask questions in plain language and get answers from live business data instead of copy-pasting into a chatbot.
Is our data used to train AI models?
No. Integrations run against commercial APIs with training disabled, or against models hosted in your own cloud tenancy. Data flows are documented in the scope, and read-only access is the default starting point.
We run SYSPRO. Can AI connect to it?
Yes, and that combination is a specialty here. I build MCP servers over SYSPRO data (via e.net business objects or replicated SQL) so your team can ask about orders, stock, and customers conversationally, without giving the AI write access to the ERP.
What does an AI integration project cost?
Fixed-price and in writing before work starts. A scoped MCP server over one data source is typically a small four-figure project; multi-system agent workflows are quoted after a discovery call.
Describe the bottleneck.
Scope an AI integration