Xceptor’s New Data Automation Platform Speeds up Solution Delivery

Xceptor has newly launched an upgraded toolkit, a data automation platform accelerating solution delivery for financial institutions.

Xceptor is a no-code process automation market, providing software solutions to large financial institutions, it empowers the business users to trust and automate their data, digitize their processes end-to-end. Xceptor started in 2003 building an enterprise grade platform that would put process automation directly into the hands of business users, reducing the reliance on technical teams.

This London-based firm has newly introduced an upgraded toolkit. It works for on-premises environments alongside a new AI agent named ai-exceptions-bot, designed to support software-as-a-service (SaaS) updates.

The ai-exceptions-bot is designed for SaaS users to increase product release speed and reliability. The autonomous agent finds software regressions and recommends correction measures, which are subsequently assessed and executed by Xceptor developers. The strategy aims to minimize reliance on human quality checks while retaining oversight, resulting in quicker release cycles and more predictable updates.

The enhanced upgrade toolkit automatically runs more than 30 pre-upgrade checks to identify potential breaking changes and it also analyses Xceptor configuration files. The company says it can shorten the upgrade timelines while reducing errors and avoiding manual effort with shifting these assessments upstream. Xceptor is positioning the platform to assist institutions in lowering technical debt, gaining faster access to new features, and managing change more confidently throughout the trade lifecycle by integrating AI into upgrade management and exception handling.

CTO and Founder at Xceptor Dan Reid said that AI has been a major part of Xceptor’s DNA; they consider it has enormous value in using it to deliver faster innovation to their clients. They think it is significantly impactful in capital markets, where the institutions due to their complex infrastructure and inflexible regulatory requirements often struggle to move at speed. They say this upgrade will rapidly respond to their clients’ needs, enabling to transform their operations and meet new demands faster. The founder says that this is the good example of using AI where it truly excels by solving the real-world challenges at the present without compromising transparency or control and helping elevate the business to a next-level.