Now Released: Process Module in AgentFlow

We just launched the Process Module, the first of four modules in AgentFlow, our all-in-one Agentic AI platform for process automation in finance and insurance.

This module introduces two AI Agents—Unstructured AI and Document AI—built to handle both structured and unstructured data with precision. Now available as a Web App, it eliminates manual processing and improves decision-making at scale.

With Process Agents in AgentFlow, you can:

• Extract, classify, and process structured & unstructured documents

• Automate decision-making, not just data extraction

• Integrate seamlessly with your existing systems

• Reduce costs and improve compliance effortlessly

Unlike traditional automation tools, the Process Module doesn’t just process documents—it turns them into actionable intelligence.

Demoing AgentFlow Live at Bank Automation Summit

Two days ago, we demoed our agentic AI platform, AgentFlow, live to a room of bank automation executives. According to initial feedback, the demo was a success.

We showcased how AgentFlow automates critical lending workflows instead of just partial tasks. Some workflows we discussed include:

• Extracting and verifying borrower and business financials from loan applications, tax returns, and financial statements

• Identifying missing documents and flagging incomplete or inconsistent information

• Automating income calculations, credit risk assessment, and debt-to-income ratio analysis for underwriting

We believe that workflow automation is key to seeing tangible value from your AI investments.

Interested in seeing AgentFlow live, too? Book the first available slot today.

This Week: How AI is Changing Risk Assessment With Mario DiCaro

How is AI reshaping risk assessment in insurance? Can predictive models truly improve decision-making—or do they introduce new risks of automation bias?

Mario DiCaro, VP of Capital Modeling and Analytics at Tokio Marine HCC, shares how AI is transforming underwriting, fraud detection, and capital modeling.

We covered:

• How AI improves risk assessment and pricing strategies in insurance

• The role of predictive analytics in capital modeling and investment decisions

• Why AI-generated content is challenging claims validation and fraud detection

• The future of AI-powered assistants in underwriting and executive decision-making

• How insurers can balance AI experimentation with structured policies