HNTB has 1800 projects involving 1800+ contracts, clients, and performance data at any given point of time, with time and resources constraints it was impossible for them to perform the bottom-up approach of the cash forecasting.

Join Bryan Lambkin, and Tracey Knight as they explain how Artificial Intelligence improves Cash Forecasting by:

1. Automating the generation of forecasts at individual department, unit, and regional level
as well as rolling up these forecasts into the central level

2. Automatically improving the accuracy of the forecast through continuous variance
analysis and optimization at all levels
3. Taking treasurers into the digital age where they spend time only on analyzing the output instead of manual tasks