ade Agentic Data Engineering

← All use cases

What are our Copilot Studio agents doing in production?

lab build · Oct 2026 Who did what, and who answers for it?

Once a Copilot Studio agent is in production, the questions change: who uses it, what do they ask, what do its tools do, and what does it cost? ade-tower's runtime module answers from the platform's own records, read-only. One view lists every agent with its sessions, users, questions, tool calls and estimated credits, and splits business sessions from test-pane ones day by day. Each tool shows its calls, consent waits, errors, p50 and p95 times, and the connector it really used. The conversations read as a chat: search a word in the questions or pick a user, open one session, and see the tool calls folded under each turn. A sources page says how each figure is read, what it covers and how long it is kept. Where two sources disagree, it says so: here the platform's analytics count no sessions for one agent, and the transcripts do.

ade-tower · oversee

What it does not show

  • ade-tower has no public release yet. This is its runtime module in a lab build, run on demand from a signed-in browser, not an unattended collector.
  • Credits per user or per session are not shown, because no maker-level source gives them. The console says so.
  • The agents, users and companies are invented. No real tenant is on screen.

Transcript

  • 0:00 What are our Copilot Studio agents doing in production?
  • 0:04 Agents in production — Usage, cost and tools in one view
  • 0:10 Every agent in production in one view: sessions, users, questions, tool calls, credits
  • 0:19 Business vs test-pane sessions per day, and the credits they cost
  • 0:27 Each tool: calls, consent waits, errors, p50/p95 — and the connector it really used
  • 0:36 What users really asked — Conversations, read as a chat
  • 0:39 Search by a word in the questions, or pick a user
  • 0:44 One session as a chat: questions, and answers as the agent gave them
  • 0:52 Tool calls folded under each turn: time, result size, parameters, consent waits
  • 1:00 Honest about its sources — What each figure is, and what no source gives
  • 1:03 How each figure is read, what it covers, how long it is kept — collected on demand
  • 1:11 Coverage: Analytics counts no sessions for the HR agent — the transcripts do
  • 1:20 Read-only · local · on demand — the data stays where it lives
  • 1:20 ade-tower · lab build, no public release yet · runtime module · AI voice · synthetic data · recorded 2026-10-18

ade-tower lab build, no public release yet (the runtime module runs locally over a generated store) · two invented Copilot Studio agents · AI voice · synthetic data · recorded 2026-10-18