Sunrate and Mastercard Release White Paper on Agentic AI and the Future of B2B Global Payments

2026-07-24 · Source: The AI Journal · Field: Finance & Economics — FinTech & Digital Financial Services, Corporate Finance & Treasury, Banking & Financial Services · Depth: Intermediate, short

Summary

Sunrate, the global payment and treasury management platform, and Mastercard, a global technology company, jointly released a white paper titled "Beyond Automation: Defining Agentic Global Payments" at the 2026 World Artificial Intelligence Conference (WAIC). This report is among the first in the payments industry to examine Agentic AI's impact on B2B cross-border payments, proposing an evolution to "Autonomy" where AI agents independently orchestrate end-to-end payment and treasury workflows. The paper identifies 16 major pain points in the B2B payment lifecycle and outlines 13 high-value AI use cases, including supplier onboarding, FX management, and fraud detection. It defines "Agentic Global Payments" as a new AI-native infrastructure and stresses that trusted adoption requires governance, transparency, security, and ecosystem collaboration, supported by frameworks like Know Your Agent (KYA) and payment tokenization. Both companies showcase their related offerings, such as Sunrate's Payment Agent and Mastercard's Agent Pay.

Key takeaway

For Directors of AI/ML evaluating future payment infrastructure, this white paper highlights Agentic AI as a critical shift beyond automation. You should prioritize solutions offering autonomous workflow orchestration. Ensure these solutions embed robust governance, transparency, and auditability. Consider integrating AI agents for high-value use cases. Focus on FX optimization, compliance, and fraud detection to reduce operational friction and ensure secure, accountable B2B global payments.

Key insights

Agentic AI is redefining B2B global payments by enabling autonomous, end-to-end workflow orchestration within robust governance frameworks.

Principles

• Autonomy requires clear identity, intent, and action chains.
• Agentic payments demand governance, transparency, and security.
• AI agents orchestrate workflows, moving beyond task automation.

In practice

• Automate supplier onboarding and compliance screening.
• Optimize FX execution and payment routing decisions.
• Enhance fraud detection and reconciliation processes.

Topics

• Agentic AI
• B2B Global Payments
• Payment Automation
• Financial Compliance
• Payment Security
• AI Agents

Best for: CTO, VP of Engineering/Data, AI Product Manager, Director of AI/ML, Executive, Consultant

Related on AIssential

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• Agentic AI vs Traditional AI: Why Finance Is Moving Toward Autonomy — Agentic AI shifts financial operations from human-assisted insights to fully autonomous, adaptive workflow execution, fundamentally changing system capabilities.
• Is Financial Services Ready for Agentic Payments? — Agentic payments demand a fundamental shift in financial authorization, identity, and data security models.
• Agentic Payments In B2C Commerce: Where We Are Now — Agentic payments are evolving rapidly, driven by protocol competition and the emergence of agent-to-agent transaction capabilities.
• How infrastructure is changing agentic payments: ‘A quiet but fundamental shift’ — Agentic payments are shifting fintech focus from user experience to robust, programmable financial infrastructure.

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.