WhatA tool that maps actual frontline workflows in detail and surfaces the gap between what executives believe happens and what really happens, specifically to prevent misguided automation initiatives.
SignalSeveral commenters emphasize that the disconnect between C-suite understanding and actual operational reality is not new but is now causing far more expensive mistakes because AI automation decisions are being made without understanding the processes being automated — leading to broken workflows and wasted spend.
Why NowCompanies are rushing to automate with AI but failing because they don't understand their own processes well enough to know what can be automated — the urgency and budget pressure around AI deployment makes this gap more costly and visible than ever before.
MarketMid-market and enterprise operations teams; $5B+ process mining market (Celonis, UiPath) but existing tools focus on system logs, not on capturing the tacit knowledge and judgment calls that frontline workers make daily.
MoatNetwork effects from accumulating workflow pattern data across industries creates an increasingly accurate model of what actually can vs. cannot be automated in specific contexts.
Tech CEOs are apparently suffering from AI psychosisView discussion ↗ · Article ↗ · 671 pts · May 27, 2026
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