Autostep

Companies have many repetitive tasks across departments, such as creating reports, email research, data entry, cold calls, support emails, document writing, and admin work, but leaders lack visibility into which of these cost the most or are easiest to fix. Without a way to observe how work actually happens, teams cannot tell where AI would help versus where it would not. The text states that even the smallest team Autostep worked with, at 10 people, uncovered over $100K in operational waste, suggesting this hidden cost is common and significant. Traditionally this kind of visibility would require interviews, consultants, or integrations, which Autostep positions itself as replacing.

Autostep installs across a company's desktops and discovers how work happens without interviews, consultants, or integrations. Its Operational Intelligence feature measures the cost and return of human and agent work by department, role, and task, ranking bottlenecks by dollar impact and ease of fix. Its Auto-Fix feature creates agents or process improvements from these observed patterns, explicitly noting that sometimes the best fix is no agent at all. A third capability, Context Mining or Compounding Context, builds a complete, queryable record of how the company works, surfacing new signals, templates, and standards daily so answers come with sources. The stated process is three steps: install, discover, and act, with recommendations deployed into existing tools and measured against a baseline, and access can be turned off at any time.