This case study describes how we developed a modular, agent-based AI system that automates the collection, monitoring, and reporting of online company information. By orchestrating specialized agents to search different sources, compare findings to prior reports, and generate actionable alerts and summaries, our users can now support factoring decisions at scale with unprecedented speed and accuracy.

Challenge

Faktoring company’s underwriting team struggled to keep pace with manual internet research on client companies, facing several obstacles:

• High volume of companies to monitor, making individual searches impractical

• Fragmented data across multiple online platforms without clear timestamps

• Risk of missing emerging issues such as negative client reviews or employee complaints

• Manual consolidation into reports consumed hours per client and delayed credit decisions

Solution Development

We co-created a suite of autonomous AI agents, each responsible for a distinct research task, and a master agent to coordinate workflows:

Search Agents

• Deploy unlimited agents that run in parallel

• Each agent focuses on a specific type of company data

• All agents feed their findings into the Master Agent

• Examples:

  • Corporate Profile Agent: pulls business basics, leadership changes, major announcements

  • Sentiment Agent: tracks customer reviews, employee comments, public opinion

  • Compliance Agent: flags legal filings, regulatory notices, sanctions

  • Custom Agents: spot niche or industry-specific risk signals

• Add or remove agents on the fly to match evolving monitoring needs

Master Agent

• Aggregates raw outputs from all Search Agents

• Compares current findings to the most recent report to detect new or changed items

Reporting Agent

• Generates a concise summary report highlighting new issues, trends, and risk indicators

Configurability

The system adapts to company’s evolving risk criteria:

• Unlimited Search Agents can be added for new data sources

• Alignment with jurisdictional compliance rules and internal credit policies

Security and Integration

Enterprise-grade safeguards and seamless connectivity ensure trust and scalability:

• Deployment options: public API for non-sensitive queries, or private cloud instances for confidential monitoring

• Integration with company’s CRM and credit-decision systems

• Zero retention of source documents beyond what is needed for report generation

Anticipated Business Impact

Joint testing on a sample portfolio demonstrated transformative benefits:

• Research time reduced from hours to under two minutes per company

• Early detection of potential risks through incremental monitoring

• Consistent, unbiased summaries free from human error or fatigue

• Scalable monitoring capable of handling thousands of companies daily

• Underwriters reallocated to high-value analysis rather than data collection

Summary

By adopting an agentic AI approach, the company's underwriting operations shift from reactive, manual research to proactive, automated monitoring and reporting. This solution not only accelerates credit decisions but also enhances risk visibility, enabling the firm to grow its portfolio with confidence.