Trintech Integrates AI-Powered Financial Close Solution with Workday

Sep 12, 2025
Trintech has launched Workday External Matching, an AI-powered financial close solution, as part of its deepening partnership with Workday, announced in a press release.

Trintech has launched Workday External Matching, an AI-powered financial close solution, as part of its deepening partnership with Workday, Inc., announced in a press release. This integrated solution is designed to enhance transaction matching capabilities within Workday Financial Management.

The new solution is tailored for high-volume environments and complex matching scenarios, featuring a bidirectional integration with Workday. It automates external data reconciliation, enabling faster third-party transaction matching and reducing manual effort, thereby accelerating financial close cycles.

Trintech will showcase this innovation at Workday Rising 2025, where they will present a session on how automation and AI are transforming finance operations. The solution is now available through the Workday Marketplace, offering increased visibility and efficiency in financial processes.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI in Finance Enterprise AI AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.