Agentic Banking

Bring AI agents into banking and FinTech workflows with the agentic layer in the SDK.finance Transaction Platform.

Connect AI-driven tasks with financial data, banking APIs, and transaction workflows. Define how agents interact with your platform around the processes your business needs.

Discuss your use case
Banking ledger software
AI agents | Banking workflows | Financial data | API-based integration

An agentic banking platform built on financial infrastructure

SDK.finance Agentic Banking brings an AI agent layer into the platform that manages your financial workflows.

It connects agent-driven tasks with account information, transaction processes, and operational tools. For banks and FinTechs, this creates a foundation for applying agentic AI to specific workflows within their financial product.

Financial data and context

Accounts, balances, and transaction records provide the financial context for agent-assisted tasks. The workflow determines which information an agent needs and can access.

Banking APIs and workflows

The SDK.finance Transaction Platform provides an API-based foundation for account management, payments, and transaction processing. The agentic layer connects AI-driven tasks with these platform capabilities.

Permissions and oversight

Each workflow needs a defined scope: the data an agent can access, the actions it can perform, and the points where a person reviews the next step.

AI agents for banking and FinTech workflows

 

Account information and servicing

Use account details, balances, and transaction history as context for agent-assisted servicing workflows. Example task: gather the account information needed to review a customer request.

 

Agentic payments

Explore payment workflows that connect an instruction with the information and steps needed to progress it. Example task: prepare a payment instruction and follow its processing status within the agreed workflow.

 

Transaction investigation

Bring relevant transaction records together to support operational questions and exception review. Example task: check a transaction’s status and prepare the available information for an operations specialist.

 

Financial operations

Apply AI agents to information-gathering and preparation tasks across account and transaction workflows. Example task: summarise account activity for a backoffice review.

Define permissions and oversight for agentic banking

Access to financial information and authority to perform a financial action are separate decisions. Plan both around the workflow and the responsibilities of your team.

Fintech company solutions

Data access

Specify which accounts, records, and information the agent needs for its task.

Fintech company solutions

Action boundaries

Define the operations involved, their limits, and any approval required before execution.

Fintech company solutions

Human oversight

Identify where your team reviews a request, handles an exception, or decides how the workflow should continue.

How agentic banking works

An agentic banking workflow connects a business task with financial context, platform actions, and a result that your team can review.

Banking task

AI agent

SDK.finance APIs

Financial workflow

Transaction status

Discuss your agentic banking use case

Tell us what you want AI agents to do. Let’s discuss how SDK.finance fits your workflow.

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    Agentic banking FAQ

    What is agentic banking?

    Agentic banking uses AI agents to work towards a defined objective across banking workflows. Depending on their configuration and permissions, agents can retrieve information, prepare actions, and interact with systems involved in execution.

    How does Agentic Banking fit into SDK.finance?

    Agentic Banking is a layer within the SDK.finance Transaction Platform. It connects AI-driven tasks with the platform’s financial data, APIs, and transaction workflows.

    Which agentic AI banking use cases can we discuss?

    Account servicing, payment operations, transaction investigation, and financial operations are starting points. The scope depends on the task, available information, integrations, and execution requirements.

    How do AI agents interact with banking systems?

    Through interfaces such as APIs. The integration defines which information is available, which actions an agent can request or perform, and how the workflow returns its result.

    Does agentic banking require full autonomy?

    No. A workflow can combine agent-assisted tasks with human decisions and approvals. The appropriate level of autonomy depends on the action and the controls required by your business.