AI CPD for Finance Professionals: Accredited Training That Counts Towards Your Institute Hours

What Makes AI CPD Count for Finance Professionals

The professional bodies do not give AI a special status. AI learning counts in the same way as any other CPD: it has to be relevant to your current role, it has to teach you something you can describe, and you have to be able to show that you did it. Training that meets those tests is far easier to defend if your CPD records are ever reviewed. A course with a dated completion certificate, a clear learning outcome and a note of the hours is better evidence than a bookmark to a video.

Your body may use different words for the same idea. ICAEW and ACCA talk about "verifiable" CPD, which means activity you can back up with evidence. Reading and informal on-the-job learning can still count towards your total, but not towards the verifiable minimum. Check your body's own definition before you rely on any course, whoever provides it.

How Many CPD Hours Do You Need?

The figures below come from the bodies' published rules as we understand them. Confirm them with your body before you plan your year, as they are reviewed from time to time.

• ICAEW: Under the CPD regulations that took effect on 1 November 2023, members in practice need 40, 30 or 20 hours a year (categories 1, 2 and 3), of which 30, 20 or 10 must be verifiable. Members outside practice need the same total hours, with 15, 10 or 5 verifiable. Every member must also complete at least one hour of ethics. Our guide to ICAEW CPD requirements explains the categories.
• ACCA: The unit route requires 40 CPD units a year, at least 21 of them verifiable.
• CIMA: CIMA takes a principles-based approach. Members do not count hours or units, but they keep a record of their development and do as much as is needed to maintain their competence.
• Chartered Accountants Ireland and CPA Ireland: Check each body's current CPD rules. Our guide for CPA Ireland members covers the Irish side.

AI CPD Across the Professional Bodies

Most accountancy bodies accept AI and technology learning as relevant CPD, provided it is relevant to your role and you can evidence it. In practice that looks like this:

• ACCA: members complete CPD each year and can count relevant AI and digital-skills learning, recorded against ACCA's CPD route.
• CIMA / CGMA: the outcomes-based approach means AI learning that improves your competence and is relevant to your role counts.
• ICAEW: relevant AI and technology training can form part of your verifiable or non-verifiable hours, depending on whether you hold the evidence.
• Chartered Accountants Ireland: members record relevant CPD each year, and AI and digital-finance learning that is relevant to your work qualifies. The body published an ethical-use-of-AI guide for members on 24 August 2026.

In every case the principle is the same: the learning must be relevant, current and evidenced.

What Regulators and Professional Bodies Are Saying About AI

AI is no longer a side topic for the profession. In June 2025 the Financial Reporting Council (FRC) published its first guidance on the use of AI in audit. It covers machine learning, deep learning and generative AI, explains how audit teams can document AI tools proportionately, and addresses tools bought in from third parties. The FRC says the guidance is not prescriptive and does not create new regulatory requirements, but it shows what auditors will be expected to understand and explain.

ACCA has taken a similar line. Its AI Monitor research, reported in July 2025, expects routine processing work to shrink while strategic and advisory work grows, with mid-level roles taking on more judgement and client contact. ACCA's head of technology research, Alistair Brisbourne, said only a minority of finance and accounting teams have implemented AI solutions so far. That suggests there is still time to build your skills before AI becomes standard in your own team.

A Simple 12-Month AI CPD Plan

You do not need to become a data scientist. A realistic plan for a busy accountant looks like this:

1. Months 1 to 3: learn the basics. Understand what machine learning, robotic process automation and generative AI each do, using the tools in your own firm or employer as examples.
2. Months 4 to 6: try one tool on a real task. Use it to draft commentary for a management report or summarise a long document, and note what you checked before relying on the output.
3. Months 7 to 9: study the risks. Cover data protection, client confidentiality and the accuracy of AI outputs. Do not paste client data into a public AI tool unless your firm's policy allows it.
4. Months 10 to 12: review and share. Write up what worked and what did not, and talk a colleague through it. That reflection is itself useful CPD evidence.

Keeping Your Evidence

Whichever body you report to, keep a dated note of each activity: what it was, how long it took, what you learned and how you applied it. For AI learning, add what you checked in the tool's output. The FRC's audit guidance puts weight on documenting how AI tools are used, so keeping notes is a habit worth building early. Learnsignal's AI for finance CPD courses cover the AI skills accountants need day to day and give you a completion certificate to file with your records.

Frequently Asked Questions

Is AI training accepted as verifiable CPD by ICAEW?

ICAEW's guidance sets out the kinds of activity that could qualify as verifiable CPD, and what matters is that the learning is relevant to your role and that you hold evidence of it. A completion certificate is the usual evidence for a course. Check ICAEW's current guidance for your category before you rely on any course.

Can I use Coursera AI courses for ACCA CPD?

Relevant learning from any provider can count towards your ACCA CPD. Whether the units are verifiable depends on whether the activity is relevant and you can evidence it, so keep the certificate and a short note of what you learned. Check ACCA's CPD guidance for the current rules.

What AI CPD topics count most for finance professionals?

Topics with high professional relevance include AI governance and ethics, which applies to every role; role-specific AI tools such as Copilot and ChatGPT in finance settings; the regulatory side of AI, including the EU AI Act, FCA guidance and ISA 315; and practical use of AI in finance workflows. Choose topics that fit what you do day to day, whether that is audit, FP&A, controllership or finance leadership.