How Trustmi uses AI to make sure every dollar goes where it should

2026-06-17 · Source: Insight Partners · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy · Depth: Fundamental Awareness, medium

Summary

Trustmi, an AI-powered payment security platform, combats the rise of sophisticated payment fraud, including business email compromise and vendor fraud, which has been amplified by AI tools, as seen in Arup's \$25M deepfake scam loss. Established in Tel Aviv in 2021, Trustmi secured a \$4M seed round and a \$17M Series A in 2023, launching globally from New York. The platform integrates with ERP, procurement, invoicing, email, and banking systems to correlate activity across the entire payment lifecycle, verifying B2B payments before funds are disbursed. Protecting over \$240B in annual payments for Fortune 500 clients like Takeda and Colgate-Palmolive, Trustmi reports preventing over \$1B in fraud and catching \$5B in payment errors. It provides real-time risk scoring (green, yellow, red) and aims to become a trust layer for future autonomous financial operations, anticipating AI-driven agent-to-agent payments.

Key takeaway

For CTOs and finance leaders evaluating payment security solutions, Trustmi's integrated AI platform offers a measurable approach to mitigating B2B fraud and operational errors. You should consider solutions that connect across your entire payment lifecycle, from ERP to banking, to identify and block suspicious transactions in real time. This proactive stance not only prevents significant financial losses but also prepares your organization for the increasing sophistication of AI-powered payment scams and future autonomous financial operations.

Key insights

Trustmi's AI-powered platform integrates across payment lifecycles to prevent B2B fraud and errors by correlating activity.

Principles

• Payment security is an operational problem.
• ROI in cybersecurity must be measurable.
• Attackers exploit gaps between systems.

Method

Trustmi connects to ERP, procurement, invoicing, email, and banking systems, correlating activity to assign real-time risk scores (green, yellow, red) to B2B transactions.

In practice

• Integrate security across payment workflows.
• Prioritize measurable ROI in security tools.
• Prepare for AI-driven payment fraud.

Topics

• AI Payment Security
• B2B Fraud Prevention
• Business Email Compromise
• Enterprise Payments
• Financial Automation
• Risk Scoring

Best for: Investor, Executive, CTO, AI Security Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Insight Partners.