Workflow Automation

Fifty engineers running fifty private AI workflows is not adoption. It is a coordination tax with no owner. Audit what is already running, isolate the workflows with org-wide leverage, ship a versioned skills repo, and govern the blast radius before a shared skill drops a column in production.

Most AI use case selection is workshop theater. Process mining reads the actual event logs and ranks workflows by volume, variance, and structure — so you find out whether you need an LLM, an RPA bot, or nothing before spending a dollar.