A technical 60-minute session on Copilot, Teams Phone, Personal Attendant, main line, Teams Phone Agent, Teams Rooms, policies and identity.

Microsoft Teams is no longer “just” meetings, chat, and telephony. With Copilot, Teams Phone Agent, Teams Personal Attendant, and AI-driven meeting experiences, the platform is moving toward a layer where meetings, calls, identity, transcription, policies, and automation are far more tightly connected than before.
In this session, we go one level deeper than the classic feature demo. We will look at how AI is starting to influence the voice architecture in Teams: resource accounts, auto attendants, call queues, mainline design, Teams Phone Agent, Copilot Studio integrations, and Personal Attendant as a personal call screener. At the same time, we connect this to the meeting side with Teams Rooms, speaker attribution, transcription, Intelligent Recap, and the endpoints that need to deliver data at a quality level AI can actually use.
We will discuss the practical design decisions: when a classic auto attendant still makes sense, when to start thinking in terms of AI agents, how this impacts the main number, which policies Teams admins need to understand, what transcription and speaker recognition mean for the security team, and why endpoints are suddenly becoming a critical part of AI quality.

What Attendees Will Take Away
• A technical understanding of how Teams AI connects meetings, telephony, endpoints, and Microsoft Graph context more tightly together.
• Insight into Teams Personal Attendant as an AI-based call screener, including user experience, admin controls, policies, and governance questions.
• An understanding of the difference between classic voice apps such as auto attendants and call queues — and new AI-based scenarios with Teams Phone Agent and Copilot Studio.
• An architectural view of mainline/main number design: resource accounts, call flows, fallback, business hours, queues, agents, and escalation.
• Technical perspectives on Teams Rooms, speaker recognition, transcription, Intelligent Recap, and why microphones, cameras, and room design directly impact Copilot results.
• Concrete security and compliance considerations around recording, transcription, data access, retention, AI access, and user expectations.