Trintech introduces agentic AI to automate finance workflows

By Vriti Gothi

Trintech has introduced a new set of embedded, finance-specific artificial intelligence (AI) capabilities aimed at improving efficiency and control across financial close operations, as firms seek to modernise record-to-report workflows under increasing operational pressure.

The update centres on integrating “agentic AI” directly into core finance processes, enabling automated risk identification, workflow guidance, and real-time decision support within existing systems. The move reflects a broader shift in the sector from standalone automation tools to AI embedded within operational workflows.

At the core of the rollout is Beacon, the company’s AI-powered assistant, designed to operate within activities such as journal entries, reconciliations, transaction matching, and close management. The assistant combines automation with contextual recommendations, allowing finance teams to act on insights without leaving their workflow environments.

The latest enhancements build on capabilities introduced over the past six months, with a focus on reducing manual intervention while strengthening governance. Key features include AI-assisted journal entry preparation with built-in validation, automated transaction matching and rule generation, and early-stage anomaly detection to flag irregular balances or policy deviations.

The platform also introduces task prioritisation tools that direct teams towards high-risk activities, alongside AI-generated reconciliation narratives intended to streamline audit preparation. Daily close briefings and in-application guidance aim to improve visibility into bottlenecks and reduce reliance on internal expertise.

The development comes as finance teams face growing demands to accelerate close cycles while maintaining accuracy and compliance. Industry-wide, organisations are increasingly exploring AI to address resource constraints and enhance data-driven decision-making in finance functions.

“AI in finance isn’t about replacing accountants; it’s about giving them their time back and now we’re doing that at a whole new level,” said Tamir Sigal, Chief Marketing Officer at Trintech. “Our approach to agentic AI is different. It’s grounded in trust, transparency, and control because the future of finance depends on teams trusting the agents working alongside them. By embedding that intelligence directly into financial workflows, we’re helping teams move faster, reduce risk, and operate with greater confidence.”

The introduction of agentic AI into financial close processes signals a continued evolution in enterprise finance technology, where explainability, control, and integration into core systems are becoming critical requirements for adoption.