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Discussing on the AI Agent & Copilot Podcast, AI specialist Will Hawkins delves into three diverse approaches for managing artificial intelligence agents

AI Specialist Outlines Three DifferentMethods for Coordinating AI Agents' Workflows within Microsoft Business Applications, Highlighting Each Approach's Advantages and Disadvantages.

AI Specialist Will Hawkins Discusses Three AI Management Methods on AI Agent & Copilot Podcast
AI Specialist Will Hawkins Discusses Three AI Management Methods on AI Agent & Copilot Podcast

Discussing on the AI Agent & Copilot Podcast, AI specialist Will Hawkins delves into three diverse approaches for managing artificial intelligence agents

In an insightful discussion, AI expert Will Hawkins, founder of RitewAI, shared his thoughts on three agentic AI orchestration methods at the upcoming 2026 AI Agent & Copilot Summit, scheduled for March 17-19 in San Diego.

The podcast, which also covered AI Copilot and agent developments from Microsoft and its partners, began by delving into the first orchestration method: sequential orchestration. This linear process connects agents in an assembly line, making it suitable for well-defined workflows like quote-to-cash processes. However, its brittleness and inability to handle stochastic processes limit its use.

The second method discussed was dispatch or concurrent orchestration. In this approach, multiple agents work on the same task, synthesising their responses to provide a comprehensive solution. This method is particularly useful in departments like marketing, sales, finance, and HR, where different agents can provide specialized insights.

Dispatch orchestration is also beneficial for critical thinking and preemptive analysis, as it allows multiple perspectives to be considered. It is especially useful in departments where a variety of tasks require a diverse range of expertise.

The third and final method discussed was generative orchestration, also known as dynamic orchestration with intelligent routing. This method uses metadata to match user requests with appropriate agent topics. The primary platforms for generative orchestration are Copilot Studio and Azure OpenAI.

Copilot Studio is highlighted as the best platform for multi-agent orchestration due to its built-in support of agent-to-agent protocols (A2A). It offers the best user experience for designing and managing agent flows in generative orchestration.

Customers build multiple agents for tasks like customer service triaging, lead qualification, and audit trust history. The need for agents to communicate with each other has led to the emergence of agent-to-agent protocols such as A2A.

Will Hawkins expressed his appreciation for the opportunity to discuss these methods and looks forward to contributing to the 2026 AI Agent & Copilot Summit. He also predicts a maturity curve where customers progress from sequential to dispatch to generative orchestration as they build trust in AI agents.

The progression from one method to another depends on the complexity of the processes and the level of control required. As AI technology continues to evolve, it is expected that more businesses will adopt these orchestration methods to streamline their operations and improve efficiency.

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