How to integrate Fire into your payment processes using AI

AI tools are changing the landscape of payments integration. This guide explains how developers and finance teams can use AI to accelerate Fire Payments API integrations, from understanding workflows and mapping endpoints to automating payment processes and testing implementations.

AI tools have become a standard part of the modern developer’s toolkit, capable of reading API documentation, generating working code, interpreting error responses and guiding teams through authentication flows. For developers and finance teams looking to integrate the Fire Payments API, AI assistance can help accelerate implementation and reduce the amount of development effort required. In practical terms, businesses can move from planning an integration to building and testing solutions more quickly, even when development resources are limited.

Understanding what the Fire Payments API offers

Before diving into setup, it is worth understanding what the Fire Payments API unlocks for developers and finance teams.

The Fire Payments API gives you everything you need to build, automate, and scale modern payment operations through a single, unified platform:

• Accounts and transactions: Open multiple euro and sterling sub-accounts in real time, view balances, retrieve transaction history and move funds between your accounts through the API.
• Batch payments: Streamline high-volume payment workflows by creating and managing bulk payment runs, supporting both domestic and international payouts across multiple accounts.
• Open banking payments: Accept account-to-account payments with end-to-end reconciliation, collection, and settlement through Fire Open Banking Payments.
• FX and international transfers: Access live foreign exchange rates, and retrieve transaction information for domestic and international payment activity through the API.
• Debit cards: Issue Fire debit cards at scale, configure and control card settings in real time, and monitor card activity as it happens.
• Webhooks: Receive real-time notifications for key events, including incoming payments, card authorisations and open banking payment activity.
• Reconciliation: Combine the Transactions API with webhooks to automate reconciliation, collection and settlement workflows by accurately matching incoming and outgoing payments to your internal records.

Fire’s documentation is designed to work with a wide range of AI assistants, including ChatGPT, Claude, Gemini, GitHub Copilot, Cursor, and other tools that can access and interpret web-based documentation.

Getting your Fire account and API access set up

The first step in working with the Fire Payments API is creating an API application. This is the only part of the process that requires direct setup in the Fire for Business web portal, and it only takes a few minutes to complete.

To create your API application:

1. Log in to the Fire for Business web portal.
2. Navigate to the Settings menu.
3. Open the “API” tab.
4. Select “Add New Application”.
5. Enter a name for your application and choose the required permissions.
6. Click “Create”.

Once the application has been created, record the Client ID, Client Key, and Refresh Token. The Client Key will only be displayed once, so it should be stored securely, for example in a secrets manager, and never exposed in source code or shared publicly.

A full step-by-step walkthrough, including screenshots, is available in the Overview section of the Fire API documentation.

Using AI to understand the API faster

AI assistance for API integrations is still a relatively new development, but adoption among developers continues to grow. Research shows that developers using AI tools report productivity gains across tasks such as interpreting documentation, generating code and creating test cases. For APIs that provide structured documentation, AI can also help teams understand workflows, identify relevant endpoints and plan integrations more efficiently.

The experience varies depending on how much structured information an API makes available to AI tools. Fire is designed to support this approach. In addition to standard documentation, Fire publishes an llms.txt index that provides AI assistants structured access to API guides, endpoint definitions and implementation resources.

This means developers can spend less time searching through documentation and more time focusing on the business process they want to build. Instead of manually navigating endpoints and workflows, they can describe the outcome they need and ask an AI assistant to map the process to the relevant API capabilities.

A useful first AI session might begin with a prompt such as:

"I need to pay 200 contractors monthly across the UK and Ireland from a single Fire account. Which endpoints do I need, and what is the order of operations?"

Using the Fire llms.txt index, an AI assistant can identify the relevant endpoints, outline the required workflow and highlight any approval or authentication steps. For example, it can explain the difference between Mode 1 batch payments, which use existing approved payees, and Mode 2 batch payments, which create new payees from account details and require Strong Customer Authentication (SCA) before they can be processed.

Choosing the right Fire capability for your use case

Most payments integrations start with a business problem, not an endpoint. The first useful question for your AI assistant is which Fire service matches your need.

• “We need to pay many people at once or automate payment processing” → Batches.
• “We need to collect payments from customers with instant reconciliation” → Open Banking Payments.
• “We need to give employees a spending budget” → Debit Cards.
• “We need to know when money arrives” → Webhooks.
• “We need oversight across many sub-accounts” → Accounts and Transactions with webhooks.

With the capability identified, the next step is mapping it into specific endpoints and this is where AI assistance starts to add significant value.

A few prompts worth considering:

• “Read [specific docs URL]. Write a client that [does X].”
• “I need to do [business goal]. Looking at docs.fire.com/llms.txt, which Fire endpoints do I need and in what order?”
• “Here is an error response from the Fire API at [endpoint]. Looking at the validation rules in docs.fire.com/[endpoint], what is wrong?”
• “How do I get an access token for the Fire Business API? Walk me through the nonce and clientSecret flow.”
• “Map our existing payroll workflow to Fire’s batch and webhook model and give me the sequence of API calls.”
• “Set up a webhook so I get notified the moment a customer pays.”

What makes these prompts effective is including a specific documentation URL in the prompt, never just “the Fire docs”. The sharper the input, the sharper the output.

Common integration scenarios

Many Fire integrations follow similar patterns. AI tools can help teams understand these workflows, identify the relevant endpoints and accelerate implementation.

Bulk payouts

The batch payments API supports a wide range of payment automation use cases, including payroll, contractor payments, supplier payments, tip distribution, and more. Create a batch, add payments, submit and approve. For example, JustTip uses Fire to automate large-volume batch payments, distributing tips directly to employees’ bank accounts on a weekly basis.

System-triggered payments

Combining webhooks with the payments API enables event-driven payment workflows. Businesses can automatically initiate payments, distribute incoming funds across multiple accounts or trigger downstream processes based on payment events. For example, MyMilkMan uses a “Lodgement Received” webhook from its acquirer and automatically distributes funds to its agents via the API.

Open banking payment collection flows

Fire Open Banking Payments enables businesses to initiate account-to-account payment requests from a payer’s bank account, with the payer’s consent. The original payment request is matched to the resulting bank transfer, supporting automated reconciliation and reducing manual intervention. For example, Fitzwilliam Sports utilises this approach to accept open banking payments and simplify their reconciliation.

Programmable card issuance

Fire debit cards can be issued and controlled in real time through the API, with actions triggered directly from backend systems. Combined with Card Authorisation and Card Settlement webhooks, this enables real-time spend tracking and supports use cases such as expense management, workforce spending controls and marketplace seller funding.

Continuous reconciliation

Accelerated Payments opens euro and sterling accounts on demand and reconciles transactions automatically using the transactions API and webhooks. The same approach can support any business managing high payment volumes across multiple accounts and balances.

Using AI to debug and test your integration

The first stage of an integration typically focuses on authentication and confirming that a single endpoint responds correctly. The next stage involves testing the integration end-to-end, validating workflows and resolving any issues that arise. AI assistance is particularly useful during this phase.

• Decoding error responses: Paste a Fire API error response alongside the relevant endpoint documentation. Providing the error code and validation rules from the API reference often allows an AI assistant to quickly identify the issue and suggest a resolution.
• Debugging failing code: Share a code snippet along with the expected behaviour. The AI assistant can compare this against the documentation to identify mismatches or implementation issues.
• Generating test cases: Use the API reference to help an AI assistant generate a structured set of test cases. These act as end-to-end tests that validate key workflows, confirm expected behaviour, and help identify issues early in the integration process.
• Validating webhook payloads: Provide a sample payload and signing details, and the assistant can help generate verification logic. It is recommended to test this using tools such as webhook.site before sending it to a production environment.

Get in touch

For more information on integrating Fire with AI-assisted tooling, visit our API guides or contact our sales team at sales@fire.com. Existing customers can also contact our team with any questions about their live integration or for implementation support.

To see how these capabilities are applied in practice, explore how MyMilkMan has streamlined payment processing using the Fire API, and how Accelerated Payments uses Fire to automate reconciliation across multiple accounts.