## How Agentic AI Will Reshape Payments

_IMF Notes, April 24, 2026_

## Source details

**Canonical URL:** [How Agentic AI Will Reshape Payments](https://www.imf.org/en/publications/imf-notes/issues/2026/04/22/how-agentic-ai-will-reshape-payments-575560)

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## Bibliographic details
- Authors: Sonja Davidovic, Hervé Tourpe
- Published: April 24, 2026
- Series: IMF Notes
- DOI: https://doi.org/10.5089/9781513533308.068

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### Overview
- Agentic AI systems can act autonomously on behalf of users: interpret objectives, break them into tasks, and interact with digital services with limited human input.
- In payments, agentic AI could shift transactions from human-initiated instructions to agent-mediated decisions.
- Rapid experimentation suggests growing relevance, though agentic systems are still emerging.
- The note emphasizes that outcomes will depend on institutional design and governance as much as technology.

### Three-layer framework (intent, authorization, settlement)
- Intent: agentic AI interprets user objectives and translates goals into payment-related tasks.
- Authorization: agentic systems may mediate or automate authorization decisions, creating a tension between probabilistic AI behavior and deterministic authorization rules.
- Settlement: agentic activity interacts with settlement processes where control and finality are critical; design must preserve these properties.

### Effects on payment-system functions
- Authorization
  - Potential shift toward agent-mediated decisions for initiating payments.
  - Need to reconcile probabilistic AI outputs with deterministic authorization requirements.
- Liquidity
  - Agentic behavior could change intraday liquidity patterns as agents optimize timing and routing of payments.
- Settlement
  - Preserving finality and control when agents act autonomously is a central concern.
- Compliance
  - Agentic systems introduce new modalities for AML/CFT and compliance functions (referred to as “Agentic compliance”).
- Resilience
  - Systemic resilience implications arise from widespread agentic adoption and potential correlated behaviors.

### Use cases and areas of value
- Agentic capabilities may add value while preserving control and finality when applied selectively across the intent–authorization–settlement layers.
- Use cases span cross-border payment, e-commerce, and compliance automation.

### Risks and vulnerabilities
- Traceability: agent-mediated actions may complicate tracing the origin and intent behind payments.
- Opacity: AI decision processes may be opaque, undermining explainability for authorization and compliance.
- Systemic effects: correlated agent behavior could generate systemic risks in payment systems.
- Cybersecurity: agentic interfaces expand attack surfaces and introduce new vectors for exploitation.
- Legal uncertainty: questions about liability and legal status of agentic actions in payments remain.

### Policy and governance considerations (implicit recommendations)
- Institutional design and governance choices are as important as technical design for shaping outcomes.
- Preserve deterministic requirements of payment infrastructures when integrating probabilistic agentic AI—especially for authorization and settlement finality.
- Design traceability and explainability mechanisms to support compliance and oversight.
- Anticipate systemic and cybersecurity risks from correlated agent behavior and expanded attack surfaces.
- Clarify legal frameworks for agentic actions in payments to reduce uncertainty around liability and enforceability.

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## Content in this bundle

- **How Agentic AI Will Reshape Payments; IMF Note No. 2026/004; April 2026**
  - [How Agentic AI Will Reshape Payments; IMF Note No. 2026/004; April 2026 (Markdown version)](/-/media/files/publications/imf-notes/2026/english/insea2026004.pdf.md){rel="alternate" type="text/markdown"}
  - [How Agentic AI Will Reshape Payments; IMF Note No. 2026/004; April 2026 (PDF)](/-/media/files/publications/imf-notes/2026/english/insea2026004.pdf){rel="external" type="application/pdf"}

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_Source: https://www.imf.org/en/publications/imf-notes/issues/2026/04/22/how-agentic-ai-will-reshape-payments-575560_