DailyPay Deploys Agentic AI to Strengthen AML and Financial Crime Detection
DailyPay, a U.S. earned-wage access provider, processes about $30 billion in payments annually and, like a bank, must monitor for money laundering and other financial crimes. Traditional anti-money laundering systems generate large volumes of alerts each day, about 90%–95% of which are false positives. Agentic AI, which can independently gather data, reason and compile case files, is therefore seen as an important tool for improving compliance efficiency.
A report dated April 2, 2026, said DailyPay had recently introduced Agentic AI into its AML investigations. Large language models examine suspicious transactions, organize evidence and produce preliminary assessments, while humans retain control of final decisions. The company said the technology has reduced analysts’ workloads by about 50%. ComplyAdvantage, Quantexa, ThetaRay, Nasdaq Verafin, SymphonyAI and Unit21 are also rolling out similar agent-based systems.
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The history behind this eventAmex Expands Push Into AI-Powered Business Payments and Management Tools
American Express has long served corporate customers through business cards and travel and expense management. Its move to incorporate agentic AI and generative AI into its payments and commerce platforms signals that card companies are evolving from transaction providers into automated financial-management platforms, potentially reshaping corporate expense reporting, controls and decision-making.
American Express recently announced the Graphite Business Cash card and said it would roll out additional business products spanning payments, expense management and commerce platforms over the next year. The company has not disclosed the new card’s credit limit, rewards, pricing or exact launch date. It has confirmed, however, that AI will be central to the next phase of its product strategy.
AI Forensics Helps Financial Institutions Tackle Compliance Pressure
The growth of digital payments and real-time transactions has caused fraud and anti-money laundering alerts to rise faster than investigative capacity. Rules-based systems can flag risks such as cash transactions exceeding $10,000 but cannot conduct the follow-up verification. Flagright says AI Forensics can gather evidence, produce summaries and make preliminary assessments, reducing compliance backlogs.
PYMNTS reported on March 11, 2026, that Flagright co-founder and Chief Technology Officer Madhu Nadig said an analyst team can process about 1,000 alerts a week, while the system may generate several thousand over the same period. AI agents can cut the investigation time for each case from about 5 minutes to 1 minute and automatically process a backlog of 100,000 low-risk alerts within minutes.
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