Software that negotiates prices and completes payments for you sounds convenient until it hallucinates a refund policy.

Software that can shop, negotiate, and pay for you is no longer science fiction, and it is already colliding with the realities of payments risk. We sit down with Dale Laszig from the Green Sheet (https://www.greensheet.com/) to break down agentic commerce in plain English and explain what changes when “the customer” is a digital agent acting autonomously at real-time speed.

We unpack agentic commerce, where software acts on a buyer’s behalf and can search, negotiate, and complete payments without a human in the loop. We connect the promise of automation to real risks like hallucinated refund policies, AI-driven fraud, and the need for tighter contracts plus continuous monitoring.

• Defining agentic commerce in plain English for payments teams
• Why rules-based AI can be safer than LLMs
• The airline refund story and what it teaches about liability
• How AI changes chargebacks and dispute response workflows
• Deepfakes and synthetic merchants targeting onboarding gaps
• The shift from one-time KYC to continuous behavioral monitoring
• AI versus AI dynamics in fraud and risk decisioning

We dig into a memorable cautionary tale where an AI system hallucinated a refund policy and the business had to honor it, then connect that lesson to chargebacks, dispute management, and the legal pressure points that show up when machines make commitments. From our perspective as payments-focused counsel, the practical starting point is updating contracts, policies, and training so liability is clear and teams know how to respond when automation goes sideways.

From there, we get concrete about the fraud landscape: deepfakes, synthetic merchants, fake documents, and the growing gap between merchant onboarding and ongoing behavior monitoring. The big takeaway is that “set it and forget it” KYC does not hold up in an always-on world. We talk about building a multi-layered trust infrastructure with strong identity signals, behavioral monitoring, governance frameworks, and AI-powered fraud detection tools, because it often takes AI to spot AI.

AI fighting chargebacks meets AI pushing fraud. Who wins when machines argue at scale? We talk contracts, liability shifts, and why you should partner with security experts instead of building tools yourself.

If you work in payments, underwriting, risk, or compliance, this conversation will help you think clearly about agentic commerce, AI fraud, and what readiness should look like right now. Subscribe, share this with a colleague in the industry, and leave a review with your biggest question about AI in payments.

**Matters discussed are all opinions and do not constitute legal advice. All events or likeness to real people and events is a coincidence.**

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A payments podcast of Global Legal Law Firm