Professional services to design and integrate AI agents using MCP for secure, standards-based interoperability.
Problem
Custom AI agents require deep integration expertise, security considerations, and ongoing maintenance. Without professional services, agent projects get stuck or deliver fragile, hard-to-maintain solutions.
Approach
We handle the full agent development lifecycle, from identifying the right use cases, through architecture and security design, to integration testing and production deployment. Our agents are built on MCP standards, which means they integrate cleanly with your existing systems, are easy to audit, and can evolve as your needs change. You get working, maintainable AI agents, not fragile prototypes.
We use Model Context Protocol as the foundation for all agent integrations. This means standard interfaces, secure data access patterns, and agents that work reliably across different systems without custom glue code.
Every agent is designed around your specific business processes and toolchain. We don't deliver generic solutions. We build agents that fit naturally into how your teams already work, reducing adoption friction and maximising impact.
Our engineers bring deep experience in AI agent architecture, security, and production operations. We handle the complexity so your team gets reliable results, with documentation, testing, and a clear path for ongoing maintenance.
Business Impact
Production-grade AI agents that integrate cleanly and are easy to maintain.
Deployed
Working, tested, documented agents in production. Not fragile prototypes that break next week.
MCP
Built on Model Context Protocol for secure, auditable, interoperable agent integrations.
Long-term
Clean architecture, documentation, and testing so your team can maintain and extend agents independently.
Why Cloud2
Full lifecycle delivery from architecture to production. Not a hack-together-and-hope approach.
Standard interfaces, secure data access, and clean integration. No custom glue code that becomes technical debt.
From use case identification through architecture, development, testing, and production deployment.
Agent access patterns, data flow security, and audit logging designed from the start.
Documentation, codebase walkthroughs, and handover training. Your team owns the agents long-term.
Success Stories
Real customers, real results. No hypotheticals.
FAQ
Field Notes
Insights on building reliable, maintainable AI agents.
Data
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Building a data platform on Microsoft Fabric should be straightforward. So why does it still take months? Because the hard part was never the technology.
Platform Engineering
6 min read
This blog is part of our Platform Engineering series. For a deeper understanding of our perspective on platform engineering, check out our other posts:
AI
2 min read
Daily workflows can be… well, boring. Endless clicking through dashboards, writing repetitive queries, and manually sorting data — it’s the kind of work that drains energy and slows innovation.
Explore More
Secure, scalable environment to deploy, manage, and integrate AI across the enterprise.
End-to-end process automation using AI to connect systems, trigger actions, and streamline operations. Includes human-in-the-loop options.
Software you need - built by specialists you trust. We create solutions faster, better, and more secure than anyone else.
Let's discuss how Cloud2's Agent Development service can help you achieve your goals.