Services
We build the connection between your business and the AI assistants your customers use. When someone asks ChatGPT, Gemini, Microsoft Copilot, or Claude to get a quote or book an appointment, the assistant can only complete that with a business it can actually connect to.
Our three services cover that connection end to end: figuring out where you stand, building the integration, and keeping it running as the standard underneath it changes.
What we offer
Agent Readiness Assessment
A fixed-scope assessment that answers one question: if a customer’s AI assistant tried to do business with you today, how far would it get? We test it from the assistant’s side of the counter, including what it can find about you, what it can actually read, and where a transaction would stall.
What you get: a written report in plain language, plus a prioritized list of what to fix first and what can wait.
Best for: owners who want to know where they stand before spending real money.
Related guide: Is my business AI-ready? →MCP App Development
FlagshipEvery MCP app we build has two halves. The MCP server is the machine-facing half: the connection that ChatGPT, Gemini, Microsoft Copilot, and Claude all know how to talk to. The MCP App (capital A, an official extension of the standard that went production-ready in January 2026) is the interactive half, the booking calendar or order form a customer sees right inside the assistant.
Put together, a customer’s assistant can check your real availability and complete a booking or an order without leaving the conversation.
What you get: a working MCP app, connected to the systems you already run and tested the way your customers’ assistants will actually use it.
Best for: businesses that already know they want this and need it built properly.
Related guide: An MCP app, explained →Ongoing Care
MCP is a young standard. The next major revision lands in July 2026 and it won’t be the last, which is normal for a protocol at this stage. Ongoing Care means we track those changes and keep your app working through them, so you never have to read a spec revision yourself.
What you get: monitoring, updates, and someone senior to call when something breaks or changes.
Best for: anyone who’d rather run their business than maintain software.
Related guide: What is MCP? →How an engagement works
Every engagement runs the same way: assess, build, care. We don’t publish fixed timelines or packages because scope genuinely depends on what systems you’re running. We can tell you the real shape of the work after the first conversation, and we’d rather not pretend otherwise before it.
1. Assess
- It starts with a conversation. No preparation needed; you just tell us how the business actually works.
- We map how your business looks to an AI assistant today, including where a transaction would get stuck.
- You get the report and the roadmap. If the honest answer is “not yet” or “not this,” that’s what it will say.
2. Build
- We pick one workflow that matters (bookings, quotes, whatever interrupts your day most) and agree on what success looks like before any code gets written.
- We build the MCP server and the MCP App experience, and we show you working software as we go rather than status decks.
- We test it the way your customers’ assistants will actually use it, and it launches when it’s ready.
3. Care
- We monitor your MCP app and the standard it’s built on, fixing small things before they become big ones.
- When the standard moves (the next major revision lands in July 2026), we update your app before it becomes your problem.
- As assistants add capabilities, we tell you which ones are worth adopting. Most aren’t.
Who you’ll work with
Andromesh Labs is a small, senior, US-based studio, a division of Pack Computing LLC. The person who scopes your project is the person who builds it, and there’s no account manager in between.
We’ve kept it small deliberately. The field is too new to run on autopilot; Gartner expects more than 40% of agentic AI projects to be canceled by the end of 2027, and in our experience the failures trace back to scoping, not technology. Our answer is to scope honestly and build one workflow at a time.
There are no case studies or client logos on this site yet. We’d rather show nothing than pad the page, and if you ask directly we’ll tell you exactly what we have and haven’t built.
Not sure which one you need?
Most people aren’t, and that’s what the first conversation is for. Describe your business the way you’d describe it to a friend, and we’ll tell you honestly which of these fits, if any. A person reads every message.