Step 1: Invest in upskilling your existing team
Most organizations will not solve this problem through hiring alone. The external market for AI talent is tight, and finance-specific expertise is even harder to find.
Many leaders are focusing on upskilling instead. In practice, that means building role-based AI literacy. Different groups need to understand AI, what it can and cannot do, and how to use it within the right controls.
The depth will vary by role. Finance business partners need to see how AI supports forecasting and decision-making. Accounting teams need to know where automation reduces manual work and where controls still apply. Tax teams need to understand how AI supports data analysis and compliance processes.
Step 2: Redesign work, not just job descriptions
AI is most useful when it removes repetitive, low-value tasks and frees up time for forecasting, analysis, and decision support.
In finance, the highest-impact use cases often sit in forecasting, risk, statutory accounting, and workflow-heavy processes. In tax, teams usually start with routine data tasks, analysis on top of ERP systems, and targeted pilots in compliance processes.
The focus should be on applying AI where it changes how work gets done. The aim is to shift human effort closer to decisions and insights that affect outcomes.
Step 3: Expand your talent pool
The future finance team will not come only from traditional accounting or tax career paths.
Some organizations are already hiring from adjacent areas such as data, engineering, or process design. Others are building internal pipelines through rotations and cross-functional moves.
This is especially relevant in tax, where talent shortages are structural. Expanding the talent pool and reducing time to productivity through better tools and training will matter more than finding “perfect” candidates.
You need to look beyond traditional hiring channels and rethink how quickly people can become productive with the right tools and training. Your next strong finance hire may already be in your company, working in a different function.
AI in finance only works if you can trust the output
Finance teams are accountable for their numbers in front of management, auditors, and regulators. AI does not change that. Therefore, you still need reliable data, clear controls, and systems that align with your team's workflow.
That's where Lucanet can really support you. Our CFO Solution Platform combines traditional financial processes with AI capabilities within a single environment.
It covers areas such as planning, consolidation, disclosure management, and ESG reporting, with a focus on reducing manual effort and giving teams a clearer, more consistent data basis for strategic decision-making.
If you want to see what this looks like in practice, and how AI can support your day-to-day finance work:
Get to know Lucanet
