Synthèse
Microsoft AutoGen popularized the idea of multi-agent conversations where agents with different roles collaborate to solve a task. In newer enterprise settings, Microsoft Agent Framework provides production-oriented patterns for agents and workflows, including sequential, concurrent, handoff, group chat and manager-led orchestration. An FDE can use these patterns to design a governed multi-agent system rather than a free-form conversation among bots. For example, imagine an enterprise architectu
Microsoft AutoGen popularized the idea of multi-agent conversations where agents with different roles collaborate to solve a task. In newer enterprise settings, Microsoft Agent Framework provides production-oriented patterns for agents and workflows, including sequential, concurrent, handoff, group chat and manager-led orchestration. An FDE can use these patterns to design a governed multi-agent system rather than a free-form conversation among bots. For example, imagine an enterprise architecture review assistant. One agent reads the solution brief, another checks cloud security requirements, a third evaluates cost and FinOps implications and a fourth prepares a decision summary.
A manager or orchestrator coordinates the agents, decides when to ask for missing information and routes the final recommendation to an architect for approval. The FDE defines agent roles, tool permissions, routing logic, approval-required actions and telemetry. If the security agent recommends a design exception, the workflow can pause until an authorized reviewer approves it. In this case, FDE orchestration prevents the system from becoming an uncontrolled debate among agents. It introduces structure: which agent speaks when, which tools each agent may use, which outputs must be machine-readable and what evidence is required before a recommendation is accepted.
This is especially important in Microsoft-centric enterprises where identity, audit, data boundaries and cloud governance must align with existing platforms.