TransUnion has introduced an AI-powered analytics tool designed to streamline credit analysis and expand access to advanced data insights for financial institutions.

The new capability, called the AI Analytics Orchestrator Agent, is built on the company’s OneTru platform and powered by Gemini models from Google Cloud. The tool supports the company’s TruIQ analytics suite and is designed to automate complex analytical workflows while improving transparency and efficiency.

According to TransUnion, the system enables faster credit analytics by orchestrating the full analytical process — from a user’s prompt to a production-ready output — within the platform. The company said the technology could significantly shorten analysis timelines that previously took weeks.

“By leveraging Google Cloud’s advanced AI ecosystem, our Agent orchestrates the entire analytics journey from prompt to production directly within TruIQ,” said Venkat Achanta, chief technology, data and analytics officer at TransUnion. “When combined with TransUnion analytic solutions and permissioned data access, this capability will dramatically reduce analytic cycle times — from weeks to hours or even minutes — while enabling customers to run sophisticated analyses without direct data science support. It is the agent purpose-built to deliver auditable, explainable, and governed analytics.”

The AI agent is currently used internally by TransUnion data scientists and is expected to expand to customers in the coming months. Users will be able to submit natural-language questions that the system converts into governed workflows.

To ensure transparency, the platform breaks down prompts into step-by-step processes, mapping them to code and returning explanations in plain language. TransUnion said the system is also connected to its conversational data catalog and semantic knowledge graph, allowing the AI to understand relationships between credit attributes and concepts.

TransUnion said it plans to continue expanding the technology through 2026, adding reusable workflows and scaling the AI capability across additional markets and industry applications.