Tipalti launches treasury solution | Accounting Today

Payments and finance platform Tipalti now has a fully integrated treasury solution which connects real-time cash visibility and automated forecasting with accounts payable (AP).

Processing Content

The solution, Tipalti Treasury, is meant to give finance teams a clearer picture of their financial position and the tools to make more informed decisions. It offers real-time cash visibility by automatically bringing all your bank and financial data into a single dashboard with an up-to-date view of daily cash positions; users can filter by bank, account, entity, or currency to find the detail they need without piecing together bank portal downloads and spreadsheets. People can also see their cash position alongside the accounts payable activity they manage in Tipalti’s cloud-based platform, giving payment and funding decisions more context without moving data between separate tools. Users can also get an updated 13-week view built from their bank transactions and NetSuite data, including open accounts receivable invoices and scheduled payments. 

“Treasury is no longer just about tracking cash – it’s about knowing where your capital is, anticipating what comes next, and having the confidence to act,” said Idan Vlodinger, vice president of treasury solutions at Tipalti. “Yet too many businesses are still making critical financial decisions based on outdated information and fragmented systems that weren’t built for the speed and complexity of today’s global economy. By connecting treasury and AP in one platform, we’re equipping finance teams with the clarity and control they need to manage liquidity proactively, mitigate risk, and respond quickly to changing market conditions.”

The announcement comes hot on the heels of the company’s release of a new AI agent that can handle the entire accounts payable process, as well as new Model Context Protocol capabilities (see previous story.)  The AP Agent draws on vendor history, general ledger data, accounting practices and company policies to make context-aware decisions tailored to each organization’s processes, continuously improving through user feedback. As confidence in the agent grows, users can expand the range of activities it executes autonomously, with exceptions escalated when human judgment is needed.