Azure AI Multi-Agent Platform for Industrial IoT Operations

The challenge

The organisation’s existing IIoT platform and AI implementation faced significant architectural and integration challenges, including undocumented and inconsistent APIs, lack of standardised payloads, and unclear endpoint behaviours. The existing application did not align with Azure-native patterns, lacked containerisation, and did not support critical capabilities such as token persistence, tenant context management, or multi-tenant readiness. These limitations made it difficult to reliably integrate AI-driven agents, scale the solution, and ensure secure, maintainable operations across environments.

The approach

Designed and delivered a cloud-native solution leveraging Microsoft Azure and Microsoft Foundry to modernise and refactor the existing agent into a scalable, containerised multi-agent platform. The approach included a structured API discovery phase to analyse and normalise backend services, development of MCP-based connector prototypes, and implementation of agent orchestration capable of reasoning, invoking tools, and handling tenant-specific context. The solution incorporated Azure-native services for identity, observability, and DevOps, with CI/CD pipelines, monitoring, and telemetry. The architecture followed Microsoft’s Well-Architected Framework, ensuring security, governance, and scalability while enabling future extensibility.

The outcome

Delivered a validated Azure-native multi-agent platform capable of interacting with industrial systems through structured APIs, executing intelligent workflows, and maintaining secure, context-aware interactions. The solution established a scalable and maintainable foundation aligned with Microsoft Foundry standards, enabling improved operational visibility, automation of decision processes, and readiness for multi-tenant expansion. The solution also provided documented architecture, reusable connectors, and a clear roadmap for future functionality deployment and advanced AI-driven capabilities.