Agicap currently presents a short-term, rolling 13-week cash forecast linked to banks, accounting systems, collections, payables, and payments. The next week's plan is usable only when treasury can explain which dated forecast rows became bank actuals, moved horizons, changed categories, or remained unresolved.
Embat presents connected cash visibility and forecasting, and its page quotes a customer distinguishing actuals, confirmed forecasts, and estimated forecasts. Treasury teams need those states, sources, horizons, owners, and later variance to remain explicit in every liquidity decision.
HighRadius's current treasury feature-guide page promotes up to 95% cash-forecast accuracy and says AI agents use bank data, open receivables and payables, history, and business inputs. Treasury should require the horizon, grain, population, error formula, weighting, exclusions, vintage, actuals cutoff, and decision consequence before comparing that figure with its own forecasts.
TreasuryView describes automated interest and amortization calculations across loans and hedges. Treasury should preserve the executed terms, rate fixing, calendar, amendment, and review that produced each accrual rather than accepting a current dashboard total as self-explaining.
Serrala's current treasury page describes cash forecasting, positioning, liquidity planning, and integrated cash data. To evaluate a forecast, rebuild its first balance and data cutoff before interpreting movements or variance.