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Forter enabled 200 R&D team members to build AI agents in two weeks

🔄 Updated 4d ago
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Key points

  • Forter trained 200 R&D team members as AI agent creators.
  • Training completed in two weeks.
  • Focus was on simplifying agent development for non-engineers.
  • Aimed at improving fraud and customer behavior analysis.

Forter's Agent Creation Initiative

Ben Maraney, a principal engineer at Forter, discussed how his company enabled 200 individuals within its R&D department to build AI agents in a two-week period. This initiative challenged the perception that agent development is inherently complex, demonstrating a simplified approach.

Context at Forter

Forter specializes in identity-driven fraud and payment decisions, working with major merchants globally. The company processes real-time decisions without human intervention, requiring a deep understanding of both fraudulent and normal customer behaviors. This understanding is critical for its operations, which involve knowing approximately 2 billion identities worldwide.

Empowering Non-Technical Analysts

The research required to understand complex behavioral patterns is primarily conducted by analysts at Forter. These analysts come from diverse backgrounds, including law, psychology, and lab science, and often lack prior coding experience, such as SQL. The company's strategy involved making agent building accessible to these non-technical experts.

Simplifying AI Development

Maraney noted that Forter's success stemmed from sidestepping many of the traditionally difficult aspects of agent development. The goal was to prove that building agents does not need to be hard and can be made easy, allowing a broader range of team members to contribute to AI solutions.

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Reporting from

Forter, an identity-driven fraud and payment decisions company, enabled 200 members of its R&D team to become AI agent creators within two weeks. This initiative focused on simplifying agent development, allowing non-technical analysts to contribute to AI solutions for understanding fraud and customer behavior.