Express: Microsoft AI Agent Builder

Agent foundations for business technologists Agents, copilots, bots, automations, and workflows Knowledge agents vs task agents vs process agents Human oversight, escalation, and auditability Common agent use cases across Microsoft 365 Microsoft agent ecosystem and builder paths Copilot, Copilot Chat, SharePoint agents, Copilot Studio When low-code is enough vs when pro-code is needed Power Platform maker considerations Escalation paths to Azure AI Developer Express Agent opportunity and use-case planning Problem, audience, outcome, owner, and boundaries Identify data sources, systems, and action needs Estimate value, risk, complexity, and support Create an agent planning canvas Designing safe conversations and responses Topics, expected questions, and response patterns Out-of-scope handling and escalation paths Source grounding and citation expectations Tone, format, channel, and UX constraints Grounding with Microsoft 365 and SharePoint knowledge SharePoint agents and site-scoped knowledge Document quality, permissions, and ownership Content lifecycle and update responsibilities When Azure AI Search or developer help is needed Building with Copilot Studio at the right depth Basic agent configuration and topic design Generative answers and knowledge sources Actions through connectors where appropriate Testing, publishing, and refinement basics Governance-aware agent design Owner, approver, support, and review cycle Permissions, sensitive data, and data boundaries Agent inventory, lifecycle, and retirement When to involve admins, security, or compliance Testing and handoff Acceptance criteria, sample prompts, failure cases User feedback and iteration loop Documentation for support and administration Pathway to Azure AI Developer Express Portfolio bridge workshop Turn a business prompt into an agent plan Decide whether to build, defer, escalate, or route Create a next-step roadmap for pilot users