CritPath AI
Re-runs your R&D program's schedule risk math the moment a vendor slips.
CritPath AI runs Monte Carlo simulation — 10,000 runs over your actual dependency network — plus critical-chain buffer tracking on an R&D program's schedule, so a board date comes with an actual probability instead of a guess. Mark a logged risk as occurred and every downstream task, buffer and milestone re-cascades in seconds, instead of costing your PMO a day of manual re-planning. Configurable AI employees can read the live schedule and propose updates, but nothing changes until a named human accepts, and every acceptance is audited. $10/user/month for every feature; AI employee usage is metered separately.
What holds up
- +Automatic re-plan turns a day of manual PMO work into a 65-second recalculation.
- +Monte Carlo over the real dependency network gives a defensible finish-date probability.
- +AI employees only propose changes — a named human must accept, and it's audited.
Mind the limits
- −Currently waitlist-only — you can't sign up and start using it today.
- −Built for regulated R&D; its compliance rigor is overkill for a simple team schedule.
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