Bad processes get worse when automated — map & optimize before you build

Bad processes get worse when automated — map & optimize before you build targets a $32.0B = 160,000 mid-market & enterprise organizations x $200K avg annual spend on workflow/process transformation and automation tooling total addressable market with medium saturation and a year-over-year growth rate of 12-18% CAGR in workflow automation/process-mining categories.

Key trends driving demand: AI-enabled process discovery -- LLMs + event-log mining let companies extract process maps from text, recordings, and systems automatically.; RPA + low-code consolidation -- broader adoption of orchestration platforms increases need for upstream design to avoid brittle automations.; Shift-left optimization -- preference for design/simulation before deployment reduces operational risk and cost overruns.; Benchmarking & ROI-first buying -- buyers demand measurable pre-automation ROI and standardized improvement metrics..