Specialized AI Implementation & Custom MCP Development
Two focused service lines. One goal: AI that's actually wired into your business — securely, on the platform that fits you.
Enterprise AI Implementation
From scattered experiments to governed, production AI. We handle strategy, platform selection, secure rollout, and adoption for enterprise environments.
Strategy & Assessment
Identify where AI creates measurable value in your workflows, and what systems and data it needs to get there.
Platform Selection & Rollout
Claude, Azure OpenAI, Copilot, Gemini — we implement the platform that fits your environment, not the one a vendor pushes.
Governance & Security
Identity integration, usage policies, data boundaries, and auditability designed in from the start.
Training & Adoption
Rollout plans, team enablement, and guardrails so AI becomes daily practice instead of shelfware.
Engagements scoped to your environment — start with an assessment
Discuss an ImplementationCustom MCP Development
Custom Model Context Protocol servers that give AI secure, governed access to the systems your business runs on — built once, usable across AI platforms.
Custom MCP Servers
Purpose-built servers that expose your business systems as safe, well-designed tools AI can actually use.
Azure-Native Integrations
MCP servers over Azure SQL, storage, Functions, and internal APIs — with Entra ID identity and Key Vault secrets.
Any System, Any Platform
Databases, ERPs, CRMs, legacy APIs, document stores — connected to Claude, Copilot, Gemini, or any MCP-capable platform.
Least-Privilege by Design
Tools are scoped to the minimum access each workflow needs, with audit logging designed and configured for your environment.
Have a system you want AI to work with? Let's scope it.
Discuss an MCP BuildFrom First Conversation to Production
A disciplined engagement process built for enterprise environments.
Assess
We map your workflows, systems, data, and security requirements to find where AI creates real value — and what it needs access to.
Design
You get a concrete implementation plan: the right AI platform for your environment, the integration architecture, and the governance model.
Build & Integrate
We implement the platform and develop the custom MCP servers that connect it to your systems — tested, documented, and security-reviewed.
Deploy & Support
We roll out to your teams with training and guardrails, then support and extend the deployment as your needs grow.
Not Sure Where to Start?
An AI Readiness Assessment maps your opportunities, platform fit, and integration needs — and gives you a concrete roadmap either way.
Start a Conversation