Case study · SaaS & Technology

AI agents working across 5 business tools.

A self-hosted, containerized multi-agent AI platform on Azure that lets AI agents work across the company's business tools through the Model Context Protocol.

AI agentsMCPAzure

The challenge

A SaaS company wanted AI agents that could act across its everyday tools, not just chat. It needed a secure, self-hosted setup it could control and extend.

Our approach

Designed a containerized platform on Azure with Docker and nginx
Connected agents to Google Workspace, Xero, GitHub, Facebook and Discord through MCP
Secured traffic with TLS and real-time WebSocket communication
Structured the platform so new tool integrations can be added without rework

The outcome

AI agents now operate across five enterprise tools from a single platform the company owns and controls.

More work

HIPAA-alignedOn-premise

5,000 clinics moved off the cloud. Zero records lost.

A cloud-to-on-premise migration of patient data from more than 5,000 US clinics, driven by HIPAA requirements and rising VMware licensing costs.

Zerodata loss across millions of patient records

Private AILLM infrastructure

120B-parameter model. Zero data leaves the building.

A self-hosted AI platform giving a 15-person engineering team secure access to 120-billion-parameter models, with no data leaving the controlled environment.

15engineers onboarded with zero data egress

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