80% Faster Financial Statement Processing for a Fortune 500 Company

A global financial intelligence company was stuck with slow, error-prone manual data extraction from complex financial reports.

Strict regulatory requirements and the unstructured nature of the documents made automation nearly impossible. Off-the-shelf AI solutions lacked the precision and adaptability they needed.

They turned to us for a smarter way to solve the problem.

With our help, they cut financial statement processing times by over 80%, while maintaining the accuracy and auditability critical to their operations.

Find out we made it happen in our new customer story.

Company News: Peek Inside Multimodal

The energy this year started strong, and so did we. Q1 was filled with new launches, major milestones, and exciting momentum. Here's a quick look at the highlights:

• launched AgentFlow, our agentic AI platform for orchestrating multiple AI agents across complex workflows in finance and insurance

• introduced the first module of AgentFlow, Process, focused on automating document-heavy workflows

• selected for the Google for Startups Cloud AI Accelerator, collaborating with Google's AI teams

• chosen for the FinTech Innovation Lab New York 2025, working with senior executives from top banks and insurers

For a full breakdown, you can read the full Q1 update here.

Why Agentic AI Won’t Scale Without Trust

At the FinTech Innovation Lab with Accenture, one insight stood out: the biggest barrier to agentic AI in enterprise isn’t the tech—it’s trust.

In finance and insurance, adoption depends on controls like audit trails, confidence scores, and clear process documentation. Teams want AI that fits into workflows, respects compliance, and knows when to escalate to a human.

Here are our takeaways: