Introducing Agentic Banking: where AI meets real financial operations

We're excited to announce the launch of our Agentic Banking solution: a transformative infrastructure layer that enables large language models (LLMs) and other artificial intelligence agents to securely operate real-world financial actions autonomously.

With this launch, Prometeo becomes the first infrastructure provider in the region to make financial services readable and operable by AI. We achieve this through a layered system that combines our API network, an intelligent access protocol and conversational interfaces. Agentic Banking empowers AI to execute actions like payments, bank account verifications and treasury management operations with full traceability and regulatory-grade compliance.

“With Agentic Banking, Prometeo is not just building for the future, we’re enabling it,” said Rodrigo Tumaián, our Co-CEO & Co-Founder. “We’ve created the first infrastructure layer where artificial intelligence can securely access and interact with the financial systems. Where there used to be hard-coded workflows, now natural language prompts drive secure, structured actions in real time.”

Agentic banking enables AI agents to read financial data and execute real banking actions via secure, audited APIs. Instead of acting as a read-only front‑end chatbot, the agent operates deep within your financial infrastructure with defined tools, limits and approvals.. It combines bank connectivity, structured tool permissions, and audit logs so AI can perform payments, verifications/validations and treasury operations inside governed production environments.

Agentic banking is a way of operating finance where AI agents both analyze data and execute real financial operations on behalf of your business, under strict guardrails.

Instead of a human or a fragile back-office workflow logging into a bank portal, checking balances and triggering a payment, an AI agent can:

• Log into real bank accounts on behalf of the organization
• Verify that an account exists and belongs to the right counterparty instantly
• Trigger payments or payouts using pre-approved rules and dynamic limits
• Reconcile movements and update internal systems in real time

All of this happens with full traceability, scoped permissions and regulatory-grade security, so every action can be reviewed, audited and rolled back if needed.

In practice, agentic banking turns prompts and high-level business goals (ex: “reconcile yesterday’s payouts and retry failures”) into concrete, compliant operations across your banking stack — while still allowing humans to approve or override critical steps.

As AI adoption accelerates in financial services, it is critical to distinguish between conversational interfaces, standard APIs and true agentic infrastructure. While they may appear similar on the surface, their capabilities and risk profiles differ significantly.

Chatbots are designed primarily for interaction and information retrieval. They:

• Answer questions or summarize financial data
• Operate outside core banking systems
• Do not initiate or execute real financial transactions

Even when connected to data sources, chatbots typically function as read-only interfaces. They assist users, but they do not perform governed financial actions.

Traditional banking APIs enable developers to integrate account data and payment capabilities into applications. They:

• Allow teams to build custom workflows
• Require hard-coded business logic
• Execute predefined “if-then” instructions without autonomous decision-making

While powerful, traditional APIs are not AI-native. They do not provide structured tool permissioning, contextual guardrails or embedded orchestration designed specifically for AI agents operating in dynamic workflows.

Agentic banking is infrastructure built natively for AI-driven financial execution. It:

• Exposes structured banking actions (such as verify account, initiate payment and reconcile transactions) directly to AI agents
• Enforces scoped permissions, approval thresholds and policy-based controls
• Logs every action with audit-ready traceability and identity attribution

Instead of limiting AI to analysis or conversation, agentic banking enables controlled execution inside real financial systems. Agents can perform meaningful operations, but only within clearly defined governance boundaries designed for production environments.

Prometeo’s Agentic Banking enforces role-based access control (RBAC) and contextual permissioning across every tool. Teams can define which agents are allowed to trigger specific actions, on which accounts and under which limits. Every operation is recorded in signed execution logs, and configurable rollback or escalation policies ensure agents operate strictly within governed boundaries.

Our Agentic Banking solution builds on our foundational API infrastructure, which connects to more than 7,500financial institutions across +50 countries. On top of this foundation, two layers ensure secure AI interaction:

• MCP (Model Context Protocol): a secure and industry-standard mediation layer that governs how AI models interact with financial data and operations.
• Agentic Interface System: an orchestration layer that connects agents to users through channels, such as WhatsApp, web portals or enterprise systems, enabling conversational finance and organizational-grade automation.

This architecture marks a leap forward for Latin America. While global markets are adapting to the age of intelligent agents, much of the region is still unprepared for machine-to-system interaction. Our Agentic Banking changes that.

“Latin America has the talent and demand to lead in AI-powered finance, but it needs the infrastructure to match,” said Ximena Aleman, Co-CEO & Co-Founder. “Agentic Banking is how we close that gap by giving AI secure, real-time access to the financial system across the region.”

Agentic Banking introduces a wide range of real-world use cases already deployed in Peru, Mexico and Brazil, including:

• Account Creation and Onboarding: Open digital bank accounts with unique identifiers and verify user or supplier accounts autonomously during onboarding.
• Payment Execution and Liquidity Management: Initiate collections and payouts, monitor balances and smart-route funds between accounts within predefined limits.
• Reconciliation and Reporting: Pull balances and transaction history, reconcile daily activity and generate financial reports with full traceability.
• Cross-Border Operations: Execute contextual cross-border instructions, including local account setup, currency handling and payment execution across multiple countries from a single interoperable layer.

Our Agentic Banking solution offers two access models:

• Via API, for developers integrating agentic capabilities into existing systems.
• Via No-Code Portal, for businesses to access agent capabilities through a user-friendly web interface, verifying accounts, disbursing payments and managing operations in seconds.

We are ISO 27001-certified and our platform was built with full regulatory alignment, including nominative account tracking, pre-transfer controls and audit-friendly traceability.

Agentic Banking is currently available in Mexico, Peru and Brazil, with Argentina, Colombia and the United States launching in the coming months. The launch follows our recent Borderless Banking and U.S. Account Verification rollouts, continuing our trajectory as the infrastructure layer powering cross-border, programmable finance across the Americas.

Prometeo’s Agentic Banking infrastructure is designed so agents never see raw banking credentials and can only operate through scoped actions (log in, verify, pay, reconcile) with predefined limits. You decide which actions are allowed, from which accounts and under what conditions.

Yes. You define granular tool permissions (Attribute-Based Access Control) for each agent or integration. For example, “read balances and verify accounts, but require human approval for payments above a threshold.” This lets you start with low-risk automations and gradually expand to higher-value flows as trust grows.

Every operation a Prometeo agent performs is logged, versioned and tied to a clear identity, including which tool was used, which bank account was touched and which rule or human approval enabled the action. This creates an audit trail you can share with internal teams, regulators or external auditors.

Yes. Agentic banking is designed for Human-in-the-Loop (HITL) control. With Prometeo, you can require approvals for specific actions (for example, cross-border payments, large payouts or exceptions) and configure when agents should pause and request review versus operating autonomously.

Because operations are executed through a governed infrastructure layer, our Agentic Banking lets you define guardrails, limits and rollback strategies as needed. Agents operate within those boundaries: if a pre-transfer check fails or a rule is violated, the action is blocked or routed to a human instead of being pushed through blindly.

As AI agents move from copilots to operators inside real financial workflows, infrastructure becomes the deciding factor. Model capability alone is not enough. Governance, traceability and controlled execution determine whether agentic finance can operate in production environments.

Our Agentic Banking infrastructure makes it possible for AI to execute verifications, payments and treasury actions through permissioned, bank-connected APIs, with scoped tools, approval layers and audit-ready logs already built in.

For teams operating across the Americas, this means AI can move from insight to action without bypassing compliance, risk or internal controls.

If you’re planning to deploy AI agents into payments, verifications or treasury workflows, Prometeo provides the infrastructure layer to do it safely across real bank accounts and real payment rails in the Americas.

Contact our team today to explore coverage, governance architecture and production deployment options.