Xceptor adds AI tools to speed up platform upgrades

By Vriti Gothi

Xceptor has introduced a set of AI-driven enhancements aimed at reducing deployment risk and accelerating solution delivery for financial institutions using its data automation platform.

The London-based firm has launched an upgraded toolkit for on-premises environments alongside a new AI agent, ai-exceptions-bot, designed to support software-as-a-service (SaaS) updates. Both initiatives target long-standing operational challenges in capital markets, where system upgrades and exception management are often resource-intensive and constrained by regulatory and infrastructure complexity.

The enhanced upgrade toolkit applies AI to analyse Xceptor configuration files and automatically run more than 30 pre-upgrade checks to identify potential breaking changes. By shifting these assessments upstream, the company says it can reduce manual effort and errors while shortening upgrade timelines—an area of growing importance as financial institutions seek to modernise legacy systems without disrupting live operations.

For SaaS users, the ai-exceptions-bot is intended to improve the speed and reliability of software releases. The autonomous agent detects software regressions and proposes corrective actions, which are then reviewed and implemented by Xceptor engineers. The approach is designed to reduce reliance on manual quality checks while maintaining oversight, supporting faster release cycles and more predictable updates.

The developments reflect a broader industry push to apply AI within core technology operations, not just client-facing workflows, as firms look to balance innovation with operational resilience and regulatory compliance.

By embedding AI into upgrade management and exception handling, Xceptor is positioning the platform to help institutions reduce technical debt, access new functionality more quickly, and manage change with greater confidence across the trade lifecycle.