Working Surfacelink · 9 Oct 2026
02
An employee seen from behind at a laptop with a support chat open, a headset on the desk beside a sticky note listing steps already tried, the whole scene drawn with wide empty margins on every side.
Microsoft Inside Track

Building trust in AI-powered support at Microsoft: Our Employee Self-Service agent story

David Hirning · 8 October 2026

How-to · agents · handoff · Agent ownership

Read the original
Takeaway

Microsoft's IT support agent won employees over only after its team wrote the agent's behaviour for each trust breakdown, including a clear handoff to a person.

Summary

Microsoft launched its Employee Self-Service agent, which answers IT and HR questions, to more than 300,000 staff, but early use was weak. Research with Designit, the design arm of Wipro, found that people felt trapped in loops and could not see how to reach a person. The team defined how the agent should behave in each of those moments, and use of the agent rose.

Key points
  • Employees were offered fixes they had already tried, lost context when they had to repeat themselves and could not see the next step.
  • The team paired each documented trust breakdown with a specific behaviour, such as acknowledging earlier steps and stating when the agent is unsure.
  • The agent tells people it will pass the case to a human support agent if it cannot fix the problem.
  • The share of employees who start with the agent rose from 27% to 50%, and support tickets fell by 30%.
Implication

Design teams can treat the handoff to a person and the admission of uncertainty as designed states of an AI agent, written before launch. This is an inference and is not the author's claim. The piece is Microsoft's account of its own product.

Plays
Design

List the moments when users lose trust in a support agent and write the agent's behaviour for each one, including a stated handoff to a person.

Design

Make the agent acknowledge the steps a user has already tried before it suggests anything new.

Derived by Working Surface from the article; more in the Playbook. Source line: It’s not about speed or performance; it’s more about continuity and relevance.

Source issue

9 October 2026: when AI agents take on routine work, teams write down in advance what a person still decides, put those rules where the agent reads them, and keep the people who approve able to understand the work.