"causaLens agents enable DANA to implement a ‘data citizen’ company mentality, so that every single person, not just the engineers, can have access to the data without the need to learn SQL or data science"

What happens when every employee in a 200 million-user fintech company gets access to their own data scientist? At DANA Indonesia, that’s not a vision, it’s already in motion.

As one of Southeast Asia’s fastest-growing fintech platforms, DANA handles over 40 million transactions a day. That scale would crush traditional analytics teams. But instead of growing their data science headcount linearly, DANA is taking a radically different approach: they’re deploying AI Agents built on the causaLens platform.

“We now have what we call a data citizen culture, where every single person in the company, not just engineers, has access to powerful analytics capabilities,” said DANA CEO Vince Iswara in a fireside chat at the cAI Conference.

These agents don’t just assist like co-pilots. They replace entire workflows, operating autonomously from data ingestion through to insight generation. DANA uses them to empower business teams to make faster decisions, experiment continuously, and improve customer experience at massive scale.

 

The Challenge: Too Much Data, Not Enough Time

In fast-growing fintechs, data grows exponentially, but human talent doesn’t. DANA’s business teams needed insights in minutes, not weeks. But traditional data science approaches couldn't keep up.

“Our backlog for analytics requests was nearly a year long,” Vince shared. “By the time we got to a problem, the opportunity was gone.”

DANA needed a way to scale decision-making without scaling people. That's where causaLens came in—with AI-native agents trained to handle real-time analytics, fraud detection, customer operations, and more.

 

The Impact: From Support Centers to Superpowered CX

Here’s what’s already live at DANA:

• 90% of customer support queries are now handled by AI agents, eliminating wait times and dramatically increasing customer satisfaction.

• Fraud detection, customer onboarding, public sentiment analysis, and even content generation are now supported by digital workers.

• Experimentation velocity has skyrocketed—from 3 test scenarios to 2,000+ in a week, thanks to agent-powered feedback loops and real-time analytics.

All of this is done without scaling human headcount.

 

What This Means for Fintech

Fintechs operate in real-time. Customers expect answers in seconds, not hours. Compliance is critical. And every decision matters

AI Agents solve a structural problem: they give every team the ability to access, analyze, and act on data, without needing to build a massive internal data team or depend on external consultants.

They don’t just speed up analytics, they operationalize it. Customer teams can launch experiments without waiting on engineering. Risk models update themselves. Product managers get decision-ready insights without needing a SQL-savvy analyst on call. And compliance teams finally have something automated that also explains itself.

The bottleneck disappears when every function can work with a digital data scientist. For a fintech company trying to serve millions of users while navigating a volatile market, that might be the edge that matters most.

With AI agents deployed across teams, fintechs gain:

• Real-time decisioning at scale, even during traffic spikes or incident response

• Automated compliance through causal models that explain and audit decisions

• Continuous product experimentation, without bottlenecking analysts

• Embedded analytics for every function, not just the data team

• Cost-efficient growth, scaling insight without scaling headcount

It’s not just about doing more with less. It’s about doing what wasn’t possible before.

 

Where This Is Going

In the next three years, Vince sees AI Agents becoming embedded across the entire organization.

“We don’t see agents as replacing people. We see them as augmenting our talent, freeing humans to do what they do best: create, strategize, and innovate,” he said.

By removing the bottlenecks in analytics, fintech like DANA can unlock new revenue streams, reduce time to market, and deliver experiences that legacy banks simply can’t match.

 

Conclusion: A Blueprint for the AI-Native Fintech

DANA Indonesia isn’t just using AI agents to accelerate analytics. They’re redefining what it means to be a data-driven company.

And as Vince put it best:

“You can’t always trust your gut, but your gut will point you in a direction. Data is how you get there faster and straighter.”