Regnology, a global provider of regulatory, risk, finance and supervisory technology, has announced the evolution of its Ascend platform, introducing an agentic AI layer and formally integrating the Regnology Supervisory Hub (RSH) into the Ascend ecosystem.
The latest release marks a significant development in Regnology’s Straight-Through-Reporting (STR) vision. The newly introduced AI-agentic orchestration layer transforms regulatory reporting and financial oversight into adaptive, automated processes. Built on Regnology’s unified RGD data foundation, AI agents embedded within the platform will continuously manage workflows, analyse regulatory data and generate contextually accurate insights.
The platform also now extends its capabilities across the entire oversight lifecycle through RSH, with workflow agents automating data collection, validation and examinations, while real-time analytics agents surface Key Risk Indicators (KRIs) and interpret granular indicators through to narrative reports.
Ascend was first launched in late 2025 as the foundation of Regnology’s STR strategy. The initial rollout delivered intelligent data governance for proactive quality assurance, predictive insights, workflow automation and contextual collaboration tools for financial institutions.
The consolidation of these capabilities on a unified platform is designed to enable a more autonomous supervisory operating model, delivering faster oversight cycles, greater efficiency and stronger risk anticipation.
Regnology CEO Rob Mackay said, “Our position at the nexus of risk, regulation, and finance gives Regnology a unique vantage point to support the industry’s evolution.
“Our next‑gen Ascend platform is the engine of a paradigm shift transforming compliance into a single strategic command center where high‑quality data, continuous insight, and intelligent orchestration converge.”
Regnology chief product officer Linda Middleditch said, “Ascend was designed as the foundation for a new era of regulatory reporting —bringing automation, transparency, and intelligence to the core of the financial operating model.
“By extending agentic AI to both regulators and the regulated on a trusted RGD data backbone, we empower the industry to move from reactive reporting to continuous intelligence for faster decisions and more resilient oversight.”
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