Across the recruitment sector, many CEOs are looking at their finance function and asking a reasonable question: can AI now handle most of this? Meanwhile, FDs and finance teams often feel that the value and complexity of their role is not fully understood.
Both perspectives have merit. AI can genuinely automate a significant proportion of what a finance function spends its time on. However, “automated” and “replaceable” are not the same thing, and the businesses gaining the most value from automation are those that understand precisely where human input is still required.
In This Article...
What automation can genuinely remove from the finance function
The technology required to remove manual data entry from a finance function already exists, and most recruitment businesses are not yet making full use of it. Implemented properly, automation should deliver:
- Information flowing from a single point — the CRM, supplier portals, invoicing and timesheet tools — directly into the accounting system, rather than being entered manually across multiple platforms.
- Month-end closing within the first few days, rather than weeks afterwards, regardless of how many desks, divisions or commission schemes the business is running.
- A management pack generated automatically from live data, rather than compiled manually.
- Cash flow, budgets and reporting all running through that same process, giving visibility of permanent fee income, contractor margin and profitability in one place rather than several.
If month-end still feels like a scramble, or the numbers are drawn from systems that do not communicate with one another, this is unlikely to be a resourcing issue. It is more likely to indicate the absence of a single source of truth.
Where AI still requires human input
AI is only as effective as the data it is working from. If invoices and expenses are not logged consistently, timesheets are not reconciled, and credit control relies on individual memory rather than a defined process, AI will not resolve this — it will simply report the resulting issues more quickly.
Human input remains essential in the following areas:
- Judgement-based decisions — following up on queries flagged by the system, managing difficult credit control conversations, and identifying figures that warrant further scrutiny before they become a wider issue.
- Establishing robust controls and processes from the outset, so that automation has clean, reliable data to work with and the risk of fraud is minimised.
- Interpreting the data — translating figures into context for the decisions the business needs to make, rather than simply presenting the numbers.
What a well-functioning recruitment finance function should deliver
At a minimum, a recruitment business at a healthy stage of growth should expect:
- A management information pack within approximately ten to fifteen days of month end
- Real-time access to financial information throughout the month, rather than reliance on periodic reporting.
- A rolling thirteen-week cash flow forecast, reflecting the peaks and troughs typical of permanent fee income alongside the steadier rhythm of contractor and temp billing.
- Monthly, or at least six-weekly, review meetings, with discussion focused on what the figures mean for the business’s plans, rather than on whether the figures themselves are accurate
In terms of metrics, a standard management information pack should provide visibility of headline figures being gross profit, staff costs, operating costs and EBITDA, alongside KPIs that have a direct bearing on performance, such as staff costs as a percentage of net fee income.
This should be supported by benchmarking against comparable businesses where that data is available, together with consultant and departmental contribution analysis and budget-versus-actual reporting. Internal reporting can show how the business is performing against its own plan; sector benchmarking adds the wider context by showing whether that performance is strong, average or behind the market.
This is an area where many in-house finance functions are naturally limited. They may have excellent visibility of their own numbers, but not access to reliable comparative data from similar recruitment businesses. This is precisely the gap our latest benchmarking report is designed to close. Drawing on performance data from 78 UK recruitment agencies, published trading updates from Hays, PageGroup and Robert Walters, and the wider economic backdrop, it shows where well-run agencies currently sit against these benchmarks heading into Q1 2026 — and where the gaps tend to appear.
Why finance functions become inefficient
This is rarely a question of headcount. The more common causes are:
- The absence of a single source of truth. Where one system tracks one element and a spreadsheet tracks another, reconciling the two consumes significant time each month. The same issue arises where multiple systems do not talk to each other, or where different teams are tracking different versions of business performance.
- Unchecked complexity. As recruitment businesses scale, additional commission schemes or variations in contractor processes are often introduced without corresponding standardisation. The finance team is then required to manage an increasing number of rules rather than operate a consistent process, which naturally increases the resource required.
- Credit control receiving insufficient attention. Ensuring the correct billing contact, purchase order number and invoice template are in place from the outset is a straightforward improvement that is frequently overlooked, as consultants tend to prioritise the placement over the subsequent collection.
- Limited time to improve processes. Finance teams are often so stretched by day-to-day delivery that they continue working in the way they always have. As the recruitment business scales, the original workaround becomes embedded, the “master spreadsheet” grows more complicated, and no one has the time to step back and ask whether the process is still fit for purpose. This is where investment time is needed: to review workflows, adopt new technology and make better use of the finance systems already in place, rather than constantly firefighting.
- Limited exposure to alternative ways of working. Finance teams can also become isolated by the sheer volume of day-to-day work. If they are kept in the office processing transactions, resolving queries and closing month end, they have fewer opportunities to learn how other finance teams are improving processes, using technology or structuring their reporting. An independent review can be valuable here, not because the team lacks ability, but because an external perspective can challenge inherited processes and share what is working well elsewhere.
These issues are not resolved by AI. They are resolved by creating time and discipline to review and improve systems and processes, standardise workflows and implement appropriate systems around them. This may involve an independent review, learning from comparable businesses, or simply giving the finance team the space to step back from day-to-day firefighting. Once this is in place, AI becomes considerably more effective, as it is working with standardise workflows and clean data.
In summary
For many recruitment business leaders, AI appears to offer a simple solution: if technology can automate much of the finance function, why does finance still cost the business so much? It is a fair question, but the answer is rarely that the finance team is no longer needed. More often, it is that automation can only deliver value once the underlying systems, processes and data are fit for purpose.
Used effectively, AI can remove a substantial amount of manual effort and provide access to live, reliable data to support decision-making. It cannot, however, standardise an inconsistent process, create a single source of truth where one does not exist, or provide the strategic conversation a business needs around what the figures actually mean.
This is typically the starting point in our work with new clients: reviewing existing processes, identifying where manual effort is concentrated, and establishing what a single, automated source of truth could look like for the business. Where a finance function feels expensive, slow or under pressure, the answer is not always more resource or another AI tool. It is often a clearer process, better-integrated systems, and the time and external perspective needed to improve how the finance function operates.
Need Support?
If your finance processes haven’t been reviewed recently, they may no longer be fit for purpose as your business has evolved.
Get in touch for a review of your finance function. We will review your existing systems, spreadsheets, and manual processes, and provide clear recommendations on where efficiency can be improved through process design, system integration, and automation.
