Choosing finance software has become far more than a technology decision – it now defines how finance teams operate, scale and adopt AI with intention. As organisations navigate increasing complexity, tighter regulation and rapid advances in AI, getting this decision right has never been more important.
AccountsIQ research shows that 61% of finance leaders are already comfortable using AI within finance processes, signalling a clear shift towards more automated, insight-driven operations. But this progress comes with conditions – particularly around risk, governance and long-term value.
That tension is shaping a new set of priorities for finance leaders when selecting systems:
1. Avoid the ‘more features’ trap
Think about what your team actually needs day to day – speed, visibility, control. It’s easy to be drawn to feature-heavy platforms, but more does not always mean better. Overly complex systems can slow teams down and lead to underused functionality. The priority should be choosing a system that fits how your team works today, not one that forces them to adapt to it.
2. Prioritise time-to-value
Implementation remains a major pressure point. AccountsIQ’s CFO Mindset Report found that a quarter of ERP projects take longer than seven months, while 66% of finance leaders describe the process as stressful. In practice, long implementations delay impact and increase risk. Finance leaders should prioritise solutions that deliver value quickly, with minimal disruption.
3. Consider total cost of ownership
Upfront cost is only part of the equation. Ongoing maintenance, support, training and scalability all shape the true cost of a system. A longer-term view is essential, not just to manage cost, but to ensure the platform can evolve alongside the organisation, including the ability to adopt new technologies without friction.
4. Strengthen confidence in data and AI
AI is already embedded in many finance workflows, but adoption is deliberate. While 49% of finance leaders are using AI for routine tasks, 61% are concerned it could introduce new financial or operational risks.
At the same time, expectations are uncompromising: 98% say compliance and auditability are critical when implementing AI. This creates a clear mandate for transparency. Finance teams need to understand, trust and validate AI outputs – particularly in a function where accountability cannot be delegated.
The result is a shift towards augmented finance: AI handling repeatable, lower-risk tasks, while humans retain control over judgement, oversight and decision-making.
5. Consider organisational impact
New systems don’t just improve processes – they change how finance teams operate. Leaders need to consider how technology will reshape roles, workflows and collaboration.
As AI reduces manual workloads, finance professionals are moving towards more analytical and strategic work. Realising this shift depends on investment in skills, data literacy and governance.
A more deliberate path to innovation
Finance leaders are not hesitating on AI – they are redefining how it should be applied. Adoption is already underway, but it is being shaped by a clear need for control, transparency and accountability.
The next phase of finance transformation will be defined by balance. The systems that succeed will deliver speed and insight without compromising governance – enabling finance teams to think more strategically and operate with confidence.
Meet the AccountsIQ team on stand 1630 at Accountex London, taking place at Excel on the 13-14 May 2026.
