You have already asked AI to analyse an Excel export, comment on your balances or prepare a report. The answers were interesting. Yet a few weeks later, your team is still working the same way.

Making AI a useful part of everyday treasury management takes more than choosing a tool. You also need to define an initial use case, ensure your data is reliable, support your team and decide who validates the results.

This checklist brings together 10 best practices, each illustrated with an example, to help you lay the groundwork and structure your first pilot.

Who is this checklist for?

This resource is designed for CFOs, finance managers and SME leaders who want to incorporate AI into their treasury management, as well as finance teams that have already run a few trials and want to establish regular use.

It helps you identify what to address before getting started, then track your progress with checkboxes you can tick directly in the PDF.

10 best practices for bringing AI into your treasury workflows

1. Start with a single workflow

Choose a repetitive task with a clear scope: preparing Monday’s cash update, checking balances by bank or identifying overdue customer invoices. A well-defined first use case makes testing and measuring results easier.

2. Build a small cross-functional team

Identify who will lead the project, grant access and support users. Bring together a finance lead, the Okimia account administrator and a change champion.

3. Set your success metrics before you start

How will you know whether the pilot is useful? Define your criteria upfront: reporting preparation time, user satisfaction or the gap between forecast and actual figures. Start by measuring your current performance.

4. Make sure your data is reliable

The assistant works with the data it can access. Check your bank synchronisations, invoice imports and category consistency before asking it for an analysis.

5. Choose tools suited to your treasury needs

Assess integration with your existing tools, security, ease of use and the provider’s track record. When monitoring cash flow, up-to-date data matters just as much as the quality of the answers.

6. Pilot quickly and measure weekly

Launch a pilot with a limited scope, using real data and real users. Track usage and gather feedback every week to understand what works and what is holding adoption back.

7. Train your team to write effective prompts

Specify the period, scope and expected output format in your requests. Share useful prompts so everyone can repeat the approaches that work.

8. Establish governance from day one

Define access rights, the data made available, the assistant’s contractual terms and who is accountable if something goes wrong. Every user should know which information they can use and under what conditions.

9. Share your early results

Present the improvements you observe in team meetings: shorter preparation times, easier access to information or more consistent reporting. Use concrete examples to encourage other users to get involved.

10. Keep a human in the loop

A customer payment reminder, a report to the executive committee or a bank submission carries responsibility for your business. Require human approval before anything is sent externally, and use AI to prepare drafts for review.

Download your AI and treasury checklist

Are you looking to launch your first pilot or review your current trials?

Get all ten practices in a PDF you can keep and share with your team. Each practice includes:

• A practical recommendation.
• An example applied to treasury management.
• A checkbox to track your progress.

Get started with Okimia

The Okimia MCP server connects your treasury data to your AI assistant: balances, transactions, invoices and forecasts.

The connection is read-only, with an administrator-generated key and a defined scope of accessible data.

Browse the activation tutorials in the Help Centre or speak to our team to prepare your first use case.

Book a demo

Your questions about AI in treasury

Which treasury task should I start with?

Start with a recurring, clearly defined task, such as preparing your weekly cash update or identifying overdue invoices. Choose a use case where you can easily check the answers and measure the time spent before and after the trial.

Do I need to be an Okimia customer to use this checklist?

No. These best practices can help you structure your approach, whatever tools you use. Some examples show how to apply them with Okimia.

Does this checklist provide a complete implementation method?

It offers starting points to help you scope a pilot and identify areas that need attention. For a more detailed method and in-depth use cases, read the Treasury and AI guide.