Stop Typing to Copilot: Use Your Voice NOW!
Update: 2025-11-16
Description
🔍 Key Topics Covered 1) Opening — The Problem with Typing to Copilot
🧩 Reference Architecture (one-liner) Mic (Teams/Power App) → Proxy (auth, RAG, policy, logging) → Azure AI Search (vector/semantic) → GPT-4o Realtime (voice out) → M365 compliance (DLP/Purview/Sentinel). 🎯 Final CTA Give Copilot a voice—and a memory inside policy. If this saved you keystrokes (or meetings), follow/subscribe for the next deep dive: hardening your proxy against prompt injection while keeping responses interruptible and fast.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-show-podcast--6704921/support.
Follow us on:
LInkedIn
Substack
- Typing (~40 wpm) throttles an assistant built for millisecond reasoning; speech (~150 wpm) restores flow.
- M365 already talks (Teams, Word dictation, transcripts); the one place that should be conversational—Copilot—still expects QWERTY.
- Voice carries nuance (intonation, urgency) that text strips away; your “AI collaborator” deserves a bandwidth upgrade.
- True duplex: low-latency audio in/out over WebSocket; interruptible responses; turn-taking that feels human.
- Understands intent from audio (not just post-hoc transcripts). Dialogue forms during your utterance.
- Practical wins: hands-free CRM lookups, live policy Q&A, mid-sentence pivots without restarting prompts.
- RAG = retrieve before generate: ground answers in governed company content.
- Vector + semantic search finds meaning, not just keywords; citations keep legal phrasing intact.
- Security by design: RBAC-scoped retrieval, confidential computing options, and a middle-tier proxy that executes tools, logs calls, and enforces policy.
- UX in Copilot Studio / Power Apps / Teams; cognition in Azure; secrets stay server-side.
- Entra ID session context ≫ biometrics: no voice enrollment required; identity rides the session.
- DLP, info barriers, Purview audit: speech becomes just another compliant modality (like email/chat).
- The blueprint: Prepare → Index → Proxy → Connect → Govern → Maintain.
- Avoid platform throttling: Power Platform orchestrates; Azure handles heavy audio + retrieval at scale.
- Outcome: real-time, cited, department-scoped answers—fast enough for live meetings, safe enough for Legal.
- Consolidate source docs (policies/FAQs/standards) in Azure Blob with clean metadata (dept, sensitivity, version).
- Create Azure AI Search index (hybrid: vector + semantic); schedule incremental re-index.
- Attach metadata filters (dept/sensitivity) for RBAC-aware retrieval.
- Register data sources in Microsoft Purview; enable lineage scans & sensitivity labels.
- Enforce Azure Policy for tagging/region residency; use Managed Identity, PIM, Conditional Access.
- Route telemetry to Log Analytics/Sentinel; enable DLP policies for transcripts/answers.
- Expose endpoints for: search(), ground(), respond().
- Implement rate limits, tool-call auditing, per-dept scopes, and response citation tagging.
- Store keys in Key Vault; never ship tokens to client apps.
- Build a Copilot Studio agent or Power App in Teams with mic I/O bound to proxy.
- Connect GPT-4o Realtime through the proxy; support barge-in (interrupt) and partial responses.
- Present sources (doc title/section) with each answer; allow “open source” actions.
- Budget alerts for audio/compute; autoscale retrieval and Realtime workers.
- Event-driven re-index on content updates; nightly compaction & embedding refresh.
- Quarterly red-team of prompt injection & data leakage paths; rotate secrets by runbook.
- Voice removes the human I/O bottleneck; GPT-4o Realtime removes the latency; Azure AI Search removes the hallucination.
- The proxy layer is the unsung hero—tool execution, scoping, logging, and policy all live there.
🧩 Reference Architecture (one-liner) Mic (Teams/Power App) → Proxy (auth, RAG, policy, logging) → Azure AI Search (vector/semantic) → GPT-4o Realtime (voice out) → M365 compliance (DLP/Purview/Sentinel). 🎯 Final CTA Give Copilot a voice—and a memory inside policy. If this saved you keystrokes (or meetings), follow/subscribe for the next deep dive: hardening your proxy against prompt injection while keeping responses interruptible and fast.
Become a supporter of this podcast: https://www.spreaker.com/podcast/m365-show-podcast--6704921/support.
Follow us on:
Substack
CommentsÂ
In Channel





