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
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.
Data access
Specify which accounts, records, and information the agent needs for its task.
Action boundaries
Define the operations involved, their limits, and any approval required before execution.
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 and MCP
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.
Agentic banking FAQ
Agentic banking uses AI agents to work towards defined goals across banking workflows. Depending on the implementation, an agent may gather account information, prepare a payment instruction, or investigate a transaction. Its access, permitted actions, and approval requirements determine how much it can do independently.
The SDK.finance Transaction Platform provides an API foundation for account management, payments, and transaction processing. SDK.finance also uses the Model Context Protocol (MCP) to connect AI assistants with product knowledge. The data access, actions, and controls required for an agentic banking workflow depend on its integration scope.
The required APIs depend on the task. An account-servicing workflow may need account details, balances, and transaction history. A payment workflow may also need interfaces for preparing instructions and checking processing status. Data access and permission to execute financial actions should be defined separately.
SDK.finance uses MCP to give its Product Assistant access to product documentation, API specifications, and backoffice screen information. For agentic banking use cases, API and MCP connectivity requirements can be assessed around the financial data, platform operations, and permissions each workflow needs.
Potential use cases include gathering account information for servicing, preparing payment instructions, checking transaction status, and summarising activity for operational review. Each scenario needs a defined scope, relevant system integrations, and a clear result for the person or process receiving the agent’s output.
An agentic banking workflow can connect with an existing core through suitable APIs or other integration interfaces. Feasibility depends on the system’s available data, authentication, and permitted operations. Share your current architecture and intended workflow so we can discuss the integration requirements.
Yes. A workflow can be designed so that an agent gathers information or prepares an action while a person approves execution. Approval points, transaction limits, and exception handling should reflect the action’s impact and your organisation’s policies. These requirements need to be assessed as part of the implementation scope.
