AI Transformation Library

See how AI changes the work.

102 real-world cases. What changed, what improved, and where people still decide.

2 cases

1–2

An editorial scene for Microsoft Azure contrasts fire alerts inside individual azure services as local symptoms appear. with continue to fire alerts; warden ingests them globally from icm. in the warden automated incident detection in icm workflow.

Microsoft Azure

Warden faster in ~68% of successfully detected incidents; median saving 21.8 NTUs, about 15% of time-to-mitigate for those cases

Technology & softwareIT operations

An editorial scene for Microsoft contrasts investigates incident telemetry, scripts, and evidence manually in defender xdr. with uses generated summaries and explanations to analyze incidents and scripts. in the copilot-assisted incident summarization, script analysis, reporting, and guided response workflow.

Microsoft

Microsoft reports that Copilot users finished overall tasks 22% faster.

Technology & softwareIT operations

Curated collections →Evidence methodology Publication history

AI Transformation Library | Brian Letort