A leading Enterprise CX provider needed to evolve beyond simple LLM calls into a sophisticated 'Multi-Agent' ecosystem. They required an architecture where specialized agents could collaborate, reason, and execute tasks autonomously. We engineered a robust control plane using the **Microsoft Semantic Kernel Agent Framework**, surfacing the intelligence directly into Teams via the **M365 Agent SDK**.
Orchestrating autonomous collaboration securely.
The client struggled to make disparate AI tools work together. Simple 'Chain of Thought' prompting was insufficient for complex enterprise workflows that required multiple specialized agents (e.g., a 'Researcher' agent and a 'Coder' agent) to collaborate. They needed a structured framework to manage agent delegation and state without building a custom proprietary engine.
Technology operationalization
We implemented the **Semantic Kernel Agent Framework** to manage the 'Group Chat' logic between agents. Connectivity was standardized using **Model Context Protocol (MCP)** servers, allowing the agents to dynamically access internal APIs. The entire mesh was deployed as a declarative M365 Agent.
Addressing global business imperatives
- Semantic Kernel Agent Framework (Multi-Agent Logic)
- Microsoft 365 Agent SDK (Teams/Outlook Surface)
- Model Context Protocol (MCP) Server Integration
- OpenAI Model Orchestration (GPT-4o)
- Collaborative Agent Patterns (Group Chat)
Standardizing agent collaboration
We built a cognitive architecture where 'Manager' agents delegate tasks to specialized 'Worker' agents using the Semantic Kernel Agent Framework. By integrating Model Context Protocol (MCP), we gave these agents standardized tools to interact with real-time data. This multi-agent swarm is encapsulated within a Microsoft 365 Agent, allowing employees to trigger complex, multi-step workflows simply by @mentioning the bot in Teams.
Addressing global business imperatives
The architecture decoupled the 'Brain' (Semantic Kernel) from the 'Surface' (M365), allowing for rapid scaling of agent capabilities. The use of the Agent Framework reduced complex workflow latency by 40% and enabled true autonomous problem-solving.
Agent Framework Core
Implementing Microsoft Semantic Kernel to define specialized agent personas and manage the collaborative 'Group Chat' execution flow.
MCP & Plugins
Deploying Model Context Protocol (MCP) servers to provide a standardized, secure tool interface for the agents to access enterprise data.
M365 Integration
Packaging the agent swarm using the M365 Agent SDK to deliver the experience natively inside Microsoft Teams and Outlook.