A lot of the CFOs I coach want (and need!) to spend more time on strategy, but their calendars have other plans.
If that sounds familiar, you’re not alone. You’re working super hard, but hard work doesn’t always lead to the high-impact outcomes you know you can deliver.
That’s where AI comes in. Not as a quick fix, but as a tool to help you manage time, focus and energy more intentionally. With the right approach, finance leaders can stop reacting and start leading again.
Why CFOs get stuck in reactive mode
The pace of finance today doesn’t leave much space to think. Even the most strategic CFOs find themselves buried in last-minute reports, constant email pings and back-to-back meetings.
And let’s be clear, this isn’t about being disorganised. It’s more about the systems and people around you pulling you into reactive mode.
AI offers a way out. But it’s not just about experimenting with new tools – it’s about asking the bigger leadership question: how will you evolve your finance operating model for an AI-powered future?
From reactive to strategic
Yes, AI can help you today – smarter calendars, time tracking, automated first drafts of reports and more. But the bigger prize is strategic.
The question for CFOs isn’t “Which tool should I try?” but “How do I lead my team through a two-year transformation into an AI-powered finance function?”
That means building a transition plan, reskilling your people, reshaping team structures, communicating clearly and hiring for new capabilities.
The two-year challenge
The scale of change AI will bring is hard to overstate. Tools are evolving fast and within just two years, AI could be handling around 60% of the work finance teams do today.
That’s not a distant horizon – it’s the next 24 months. To get there, you’d need to shift roughly 2.5% of your workload every month between now and then. The real challenge is how you lead your team through that transition.
The key is to see this as a managed shift, not a sudden overhaul. Start with low-risk, repeatable processes, then expand into more complex workflows. Set adoption targets, review progress quarterly and think in stages: manual → assisted → automated → AI-led with human oversight.
Upskilling and redesigning roles
AI won’t replace finance talent, but it will change what our roles look like.
- Analysts will move from preparing reports to training and validating AI outputs.
- Business partners will spend less time wrangling numbers and more time telling the story behind them.
- Managers will evolve into coaches, making sure teams are confident working alongside AI.
For this shift to work, CFOs need to start building AI literacy now. Not everyone has to become an expert, but at a minimum, your team should understand how to frame prompts, review outputs and apply judgement. The aim is to build confidence as “AI co-pilots,” not passive users.
I talk about this as climbing the AI staircase: moving people step by step from foundational skills, to solving real problems, to experimenting with advanced use cases. Not everyone needs to reach the top, but everyone should be on the staircase.
Headcount, structure and culture
As AI takes on more work, structures will need to adapt. That doesn’t mean cutting headcount. For most, it means shifting capacity into higher-value activities like business partnering and strategic projects.
Some hierarchies may flatten, and some roles will reshape, but the opportunity is to shift the purpose of the team, not just its size.
One step you can take this month is setting up a finance enablement group: a small team responsible for adoption, training and monitoring AI outputs. At the same time, reshape the culture: move from “doing the work” to “reviewing, challenging and improving the work” that AI produces.
Messaging and change management
The most important part of this transition? Bringing your people with you.
Your messaging should cover three things:
- Why: “We’re not replacing you with AI. We’re using it to create more space for meaningful work.”
- How: “We’ll start small, experiment and learn together. Mistakes are part of the process.”
- What’s in it for me: “This is a chance to upskill, expand your influence and future-proof your career.”
Pair that with guardrails like clear rules on data privacy, review steps and accountability. Finance can’t afford incorrect outputs, so quality control is non-negotiable.
New skills and roles
AI doesn’t eliminate the need for people, but it does change the mix of skills required. Over the next two years, finance teams are likely to need:
- Prompt engineers with finance fluency
- Automation leads who understand both process and control
- Data governance experts to ensure accuracy and compliance
- Change enablers – trainers, coaches and communicators who can embed new ways of working
Whether you hire these roles outright or bring them in on a fractional basis, you’ll need a plan to upskill them.
Getting started
The real progress comes from starting small and building momentum. Begin with a single process, run a short trial and pay attention to the time it frees up.
The real opportunity is what you do with that time. Use it to run the planning session you’ve been postponing, have the team conversation you’ve been putting of or design a system that will help you scale next quarter.
AI doesn’t just make finance faster. Done right, it helps CFOs refocus on what matters most: leading with clarity, building a future-ready team and driving the business forward.
If you want to explore how to design your own 24-month AI transition playbook, let’s chat.
