AI That Connects to the Systems You Already Run
We are a small, senior team that builds custom AI agents and Model Context Protocol integrations — along with the access, permission and audit architecture that lets them go into production instead of stalling as a pilot.


Senior Team
Architects, not account managers

Production-Ready
Built to survive a review
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Your Stack
No rip-and-replace
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You Own It
Handed over, not held hostage

A Small Senior Team, Focused on AI That Reaches Real Systems
Most AI projects do not fail on the model. They stall the moment an agent needs to touch a system that matters — a CRM, a core platform, a customer record — and nobody can say in writing what it is allowed to reach or how you would evidence what it did. That gap is architecture, not AI, and closing it is what our team does. We work on your existing stack, we hand over what we build, and we tell you when the honest answer is that you do not need us yet.
- Custom AI agents and MCP servers connected to the systems you already run
- Access, permission and audit architecture designed before the first deployment
- Architecture review and AI-readiness assessments on your existing landscape
Three Things That Decide Whether Your Agent
Reaches Production

Agent Architecture
Tiered system access, an enforceable permission model, and orchestration designed for review from the start. The answer to 'what is this agent allowed to reach?' written down before the first deployment rather than after somebody asks.
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MCP & System Integration
Model Context Protocol servers connecting your CRM, core platforms, databases and internal APIs to modern AI — including the legacy systems nobody has built a connector for, with error handling and fallback behaviour.
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Audit Trails & Governance
Decision records written at the moment an agent acts — inputs, tools called, context retrieved, authority — so you can produce a complete account years later instead of trying to reconstruct one from logs.
Learn MoreSenior People, Your Existing Stack, Nothing You Cannot Maintain
You get architects rather than account managers, working on the systems you already run instead of proposing a replacement for them. We ship in weeks rather than quarters, report transparently as we go, and co-design with your team so nothing we build becomes a black box only we understand. You own everything we create.
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We map before we build
Discovery starts by listing every system an agent would need to reach and sorting them by what a wrong call would actually cost. That map is what makes the rest of the build straightforward — and it is the document your risk function is going to ask for.
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You get something running in weeks
First integration live and validated inside a month, on your existing stack. Hourly and flexible rather than a fixed scope that does not survive contact with your systems, and you can see progress every week rather than at a milestone.
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We tell you when to stop
Roughly a third of the time the honest answer is a simpler one than you came to us for — a scheduled job instead of an agent, or an existing connector instead of a build. You will hear that from us before you spend the money, not after.



Got an Agent Stuck Between Pilot and Production?
That is the conversation we have most often, and it is usually an architecture problem rather than an AI one. Book a 20-minute call — no prep, no pressure — and we will tell you honestly whether we are the right team for it.
The Systems We Sell Are the Ones We Run
The patterns we bring to client work are not theoretical. We build and operate our own agentic products in production, and we do this work for firms in sectors where the architecture has to hold up to scrutiny.
CIO Daily Brief
An AI-curated intelligence brief for IT executives. Built and operated by us — the retrieval, ranking and publishing pipeline runs unattended every day.
urAIplatform
Our own AI platform work, run on the same architecture we deploy for clients: scoped system access, orchestration, and a record of what ran and why.
Accounting & Healthcare
Client work across accounting and healthcare firms in North America and Europe — sectors where an agent touching real records has to be explainable after the fact.