Every delivery date an agency gives a client is either a probability they can defend or a guess they're hoping holds. PtahCast exists to make it the former. PtahCast is a delivery forecasting platform purpose-built for digital agencies and client-services delivery teams. Rather than relying on a single hoped-for completion date, PtahCast runs 10,000 Monte Carlo simulations against a team's actual historical cycle-time data to generate three probability-based delivery dates: Aggressive (P50), Commercial (P85), and Safe (P95). Under the hood, PtahCast includes a Kanban board with priorities, epics, assignees, and per-column WIP limits; flow metrics covering cycle time, throughput, and cumulative flow; and accountability logging that tracks every forecast against what actually shipped, building a transparent, auditable record of forecast accuracy over time. Higher-tier plans support white-labeling, so agencies can present client-facing forecast portals under their own brand and domain. Forecasts start working from a team's very first tracked ticket — no months-long data collection period required before the tool becomes useful. PtahCast is for any agency or delivery team tired of choosing between sandbagging estimates and overpromising clients.

PtahCast

Monte Carlo delivery forecasting for agencies

Monte Carlo delivery forecasting for agencies