TransUnion Innovation & Technology Culture

How does innovation show up in your company culture?

Innovation in our culture is fundamentally about getting better every day. We regularly ask ourselves two simple questions: Are we better today than we were yesterday, and are we actively looking around the corner to anticipate what’s coming next? That mindset keeps innovation grounded in progress and outcomes, not one-off ideas or science experiments.

We focus on innovation that prevents problems before customers feel them, like simplifying platforms, strengthening resilience, improving speed and removing friction. Teams are expected to think ahead, spot signals early, and design solutions that scale. That forward-looking discipline is what allows us to innovate while still operating at an enterprise scale.

At the core of this is a relentless focus on customer experience. Engineers are expected to deeply understand how customers use our products and design with that intimacy in mind. We encourage candid debate and diverse perspectives but always anchor in delivering a better customer outcome. High-performing teams thrive in this environment because expectations are clear: Move fast, learn quickly, and execute with ownership.

What’s one recent innovation that improved user or employee experience?

One recent innovation that significantly improved the employee experience was the expansion of our Innovation Lab and intrapreneurship programs, with a very intentional focus on business impact. The goal wasn’t experimentation for experimentation’s sake; rather it was to help teams explore ideas that could materially improve customer experience, platform capabilities or operational outcomes.

What made this work was clear framing and structure. Engineers worked on real problem statements, had access to hands-on labs, mentoring and external perspectives, and were expected to connect learning back to delivery. It reinforced the idea that innovation is part of the job, not an add-on, and that it should translate into better systems, better decisions and better customer experiences.

The result has been stronger engagement and faster skill development. When teams are trusted to experiment, fail fast, and apply what they learn, they become more confident, more capable and more invested. That directly improves how we design, build, and deliver for our customers.

How do you balance experimentation with stability?

I’m very clear that experimentation and stability are not trade-offs; instead, both are required. We encourage teams to move fast and challenge assumptions, but we do so with a strong sense of ownership and accountability. The question is never, “Should we experiment?” Rather, it’s “How do we experiment responsibly and learn quickly?” 

We’re deliberate about where experimentation happens. New ideas are tested in contained environments, proofs of concept, pilots or labs so teams can fail fast, learn, and iterate without risking core platforms or customer trust. Once something proves valuable, we shift quickly into disciplined execution and scale.

This balance ultimately comes down to high-performing teams and leadership behavior. The best teams anticipate issues before they happen, design for resilience, and continuously improve. When experimentation is paired with accountability, speed and customer focus, innovation becomes sustainable and the business gets stronger every day.

TransUnion’s technology culture is centered on building scalable, reusable capabilities that help teams innovate across credit risk, marketing, fraud prevention and data analytics.

“The beauty of TransUnion’s business is that many of the same capabilities can be used across the data analytics value chain, regardless of data set or use case.”

TransUnion’s innovation approach emphasizes practical, governed adoption of AI by starting with internal use cases before scaling new capabilities more broadly. The company’s “crawl-walk-run” mindset keeps humans involved while using agent-based architecture to improve productivity, streamline workflows and help employees interact with complex systems through natural language.

“In general, we’ve found a crawl-walk-run approach to AI can be effective, beginning with internal use cases that keep a human in the loop. An agent-based architecture, for example, can help to boost the productivity of internal users.”

TransUnion’s AI transformation is focused on making advanced technology more accessible across everyday work. By embedding multimodal conversational interfaces and AI agents into its platform, the company is helping employees move from traditional workflows toward more intuitive, AI-supported ways of building, analyzing and delivering insights.

“While we already have low-code interfaces, we're embedding multimodal conversational interfaces and AI agents to support every task.”

TransUnion’s technology transformation emphasizes people enablement alongside platform modernization. Through ongoing associate training and change management, the company is helping its tech workforce understand not only how new systems work, but how transformation creates measurable business value.

“We have an ongoing program of associate training and support for our 6,000-strong tech workforce. As a result, the percentage of our people who can articulate how our tech transformation creates value has increased in the last year from 69% to 82%.”