Why hiring faster is quietly damaging your finance team

Speed has become a badge of honour in recruitment

Shortlists in days.
Interviews in a week.
Offers by Friday.


In some parts of a business that makes sense. In finance, it is often doing more harm than good.

Finance roles are rarely simple. They sit across risk, decision making, compliance, strategy and performance. The wrong hire does not just slow things down, it distorts how decisions get made across the entire business.

Yet many companies are now treating finance hiring like a race.


The pressure to move quickly

Most rushed finance hires do not come from carelessness. They come from pressure.


 A project needs resource.
The team is overstretched.
Someone has left unexpectedly.
The business is growing faster than anticipated.


So the instruction becomes: get someone in, quickly.

The problem is that hiring quickly and hiring well are not the same thing.


What rushed finance hiring actually produces

When businesses rush finance hiring, a few predictable things happen.

They default to what feels safe.
Familiar CVs. Familiar backgrounds. Similar profiles to what they have hired before.


They prioritise availability over suitability.
Who can start soon rather than who will truly add value.


They assess experience more than thinking.
Where someone has been rather than how they approach problems.


The result is rarely a disaster hire. It is something worse.


It is a hire that is fine.

And in finance, fine is expensive.


Why this matters more now than ever

As automation and AI reshape finance, the nature of finance roles is changing.

Less time spent on processing.


More time spent interpreting.
Challenging.
Influencing.
Deciding.


These are not skills you can reliably assess in a rushed process.

You cannot properly evaluate judgement, influence or commercial instinct in two interviews and a reference check.

Yet that is exactly what many businesses are trying to do.


The hidden cost of “good enough”

A “good enough” finance hire does not usually fail loudly.

They do their job.
They keep things running.
They do not cause problems.


But they rarely:


  • Improve decision making
  • Challenge weak thinking
  • Elevate the function
  • Push the business forward


And over time, that is far more damaging than a visible failure.

Because the business never quite gets what it could from finance.


What strong finance leaders do differently

The best finance leaders I work with are not slow, but they are deliberate.

They spend more time upfront defining what success in the role actually looks like. Not just what the person will do, but what they need to change or improve.


They are clear about the problems this hire must solve, not just the tasks they must perform.

They test how people think, not just what they know.

And they accept that taking slightly longer now saves a lot of time later.

A better question to ask

Instead of asking:
How quickly can we fill this role?


The better question is:
Who will this person become inside our business?


Because in finance, the cost of getting it wrong rarely shows up immediately.

It shows up in slower decisions, weaker challenge, missed opportunities and frustrated stakeholders.


Hiring faster might look efficient on paper.


In reality, it often builds finance teams that move slower where it really matters.

Man in light blue shirt, adjusting dark tie, eyes closed against a gray background.
By Eliot Acton January 28, 2026
There is a lot of confidence right now in finance. AI will fix reporting. AI will speed up forecasting. AI will improve insight. AI will free finance teams up to be more strategic. Some of that will be true. But there is an uncomfortable truth that rarely gets discussed. Most finance teams are not ready for AI. And AI is not the reason why. The illusion many finance leaders are buying into AI has become a convenient shortcut. A way to believe that technology will solve problems that are actually rooted in people, structure and decision making. If the tools are smart enough, the thinking will improve. If the dashboards are better, decisions will follow. If the output is faster, the function will become more strategic. That logic sounds attractive. It is also flawed. AI does not fix weak judgement. It does not fix unclear ownership. It does not fix poor challenge. It does not fix a finance team that lacks confidence or commercial understanding. It simply accelerates whatever already exists. Why AI exposes finance weaknesses rather than solving them In many organisations, finance already produces more information than the business can properly use. More reports have not led to better decisions. More data has not led to clearer strategy. More analysis has not led to better outcomes. AI increases volume, speed and sophistication. But it does not tell you: Which numbers actually matter What trade offs to make When to challenge a decision When to say no Those are human responsibilities. If a finance team struggles to influence decisions today, AI will not suddenly give it a stronger voice tomorrow. The real risk leaders are ignoring The real risk is not that AI replaces finance professionals. The real risk is that it exposes which finance roles never moved beyond production in the first place. As automation removes transactional work, the remaining roles become more exposed. They require: Judgement Commercial awareness Confidence Influence Accountability for decisions Some people step into that space naturally. Others retreat from it. AI does not create that divide. It reveals it. Where most organisations are getting this wrong Many businesses are investing heavily in tools while changing very little about: How finance roles are defined What finance people are hired for How performance is measured Where decision ownership sits So finance teams are asked to be more strategic without being hired, structured or rewarded to do so. That is not transformation. It is expectation inflation. Why hiring matters more than technology right now Two organisations can implement the same AI tools. One gets better decisions. The other gets faster confusion. The difference is not software. It is capability. The businesses seeing real value from AI are: Hiring people who can interpret and challenge outputs Building finance roles around decisions, not reports Developing commercial confidence, not just technical depth Being honest about who can step up and who cannot They understand that AI raises the bar. It does not lower it. The conversation finance leaders need to have The most important AI question for finance is not: What tools should we buy? It is: Do we have the people who can actually use this well?  Because AI does not replace weak finance functions. It makes their weaknesses impossible to hide. And for leaders willing to face that honestly, that is not a threat. It is an opportunity.
By Eliot Acton January 27, 2026
Most finance transformations do not fail because of systems
Advertisement comparing old and new finance skills: calculator, notebook, charts, data analysis, and a man at computer.
By Eliot Acton January 27, 2026
There is a lot of noise right now about talent shortages in finance.