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Stop Typing to Copilot: Use Your Voice NOW!
Season 1
Published 5 months, 1 week ago
Description
(00:00:00) The Evolution of AI Interaction
(00:00:52) The Typing Bottleneck
(00:03:30) Voice Intelligence: The Next Frontier
(00:06:51) The RAG Pattern: Retrieval-Augmented Generation
(00:12:08) Secure and Governed Voice Interaction
(00:17:19) Deploying Voice-Driven Knowledge
(00:21:46) The Future of AI Interaction
In this episode of M365.fm, Mirko Peters shows how to break the “40 words per minute” bottleneck by giving Copilot a real-time voice, backed by GPT‑4o Realtime and Azure AI Search, so you can talk to your company’s knowledge layer instead of typing at it.
WHAT YOU WILL LEARN
Voice removes the human I/O bottleneck, GPT‑4o Realtime removes the latency, and Azure AI Search removes most hallucination. The real magic is not a fancy UI but a hardened proxy that orchestrates RAG, enforces scope and policy, and logs every call, so “talking to Copilot” is as compliant and auditable as sending an email.
WHO THIS EPISODE IS FOR
This episode is ideal for M365 architects, platform and AI teams, and business leaders who want Copilot to be genuinely conversational without sacrificing governance. If you’ve ever wished you could just talk through a problem with Copilot during a live meeting and get cited answers in real time, this conversation gives you the architecture to make that safe and real.
ABOUT THE HOST
Mirko Peters is a Microsoft 365 consultant focused on building governed, voice‑enabled productivity experiences on Azure and M365. Through M365.fm, Mirko shares practical blueprints for Copilot, RAG, and voice integration so organizations can add a microphone to their knowledge layer without adding a new risk category.
Become a supporter of this podcast:
(00:00:52) The Typing Bottleneck
(00:03:30) Voice Intelligence: The Next Frontier
(00:06:51) The RAG Pattern: Retrieval-Augmented Generation
(00:12:08) Secure and Governed Voice Interaction
(00:17:19) Deploying Voice-Driven Knowledge
(00:21:46) The Future of AI Interaction
In this episode of M365.fm, Mirko Peters shows how to break the “40 words per minute” bottleneck by giving Copilot a real-time voice, backed by GPT‑4o Realtime and Azure AI Search, so you can talk to your company’s knowledge layer instead of typing at it.
WHAT YOU WILL LEARN
- Why keyboards throttle copilots designed for millisecond reasoning, and how voice restores natural flow in meetings and deep work.
- How GPT‑4o Realtime turns Copilot into a full duplex assistant with low-latency audio, barge‑in, and human‑like turn taking.
- How Azure AI Search plus RAG ground every spoken answer in governed company content, with citations and RBAC‑aware retrieval.
- How a secure proxy layer keeps keys, tool calls, and policies in Azure instead of front-end apps.
- How to wire the mic in Teams, Copilot Studio, or Power Apps to a voice-enabled knowledge layer without breaking DLP, Purview, or audit.
- A concrete implementation checklist: data prep, indexing, proxy design, voice UX, security, and cost controls.
Voice removes the human I/O bottleneck, GPT‑4o Realtime removes the latency, and Azure AI Search removes most hallucination. The real magic is not a fancy UI but a hardened proxy that orchestrates RAG, enforces scope and policy, and logs every call, so “talking to Copilot” is as compliant and auditable as sending an email.
WHO THIS EPISODE IS FOR
This episode is ideal for M365 architects, platform and AI teams, and business leaders who want Copilot to be genuinely conversational without sacrificing governance. If you’ve ever wished you could just talk through a problem with Copilot during a live meeting and get cited answers in real time, this conversation gives you the architecture to make that safe and real.
ABOUT THE HOST
Mirko Peters is a Microsoft 365 consultant focused on building governed, voice‑enabled productivity experiences on Azure and M365. Through M365.fm, Mirko shares practical blueprints for Copilot, RAG, and voice integration so organizations can add a microphone to their knowledge layer without adding a new risk category.
Become a supporter of this podcast:
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