Finance leaders know their teams are filled with sharp analytical minds. But that potential is too often tied up in repetitive manual work. Many professionals find themselves still spending hours on data entry, payroll processing and reconciliations, leaving very little time for strategic initiatives.
But the industry is changing as finance automation tools have matured enough and become more accessible. According to Workmonitor 2026, 75% of finance professionals say AI frees them up to take on more fulfilling tasks. This shift directly addresses the talent shortage crisis by creating strategic, meaningful roles that attract and retain the new generation of finance professionals. The goal isn’t to replace people with technology but to give them more time to focus on driving business growth.
how much time your finance team spends on manual work?
Download this calculator to quantify your team’s hidden workload1. manual invoice processing and data entry
The way it is: Few processes create a bottleneck than manually keying in invoice data. When your team receives invoices in a dozen different formats such as PDF, email or paper, they often spend admin hours typing vendor names, invoice numbers, and line-item details into an ERP system. It’s a slow, monotonous task where a single keystroke error can cause a cascade of problems down the line.
The way it could be: AI-powered invoice automation can completely change this dynamic. Using optical character recognition (OCR) and machine learning, modern systems can now read invoices instantly, extract the key data, and automatically populate the necessary fields. Instead of losing hours to manual entry, finance professionals can instead do higher-value work where they review any exceptions flagged by the system.
What it unlocks: This shift transforms your team’s role from a data entry clerk to a financial investigator. With their time freed up, they can focus on analyzing spending trends, optimizing vendor payment terms and ensuring the accuracy of financial records, not just creating them.
2. multi-way purchase order matching
The way it is: Matching invoices to purchase orders and goods-received notes is one of the most detail-heavy tasks in finance. For complex invoices with dozens of line items, each one must be verified by hand against multiple documents. It’s a mountain of painstaking work that slows the entire procure-to-pay cycle.
The way it could be: AI-driven accounting automation platforms can now perform three-way or even four-way matching in seconds. These tools compare invoice details with purchase orders and receipts, highlighting only the real issues that require human attention.
What it unlocks: Your team can move faster and with greater confidence. By automating this financial process, it becomes about managing exceptions, not inspecting every single transaction. This technique not only speeds up the payables process and prevents payment errors but also allows your team to focus on building stronger vendor relationships and negotiating better terms.
3. employee expense report auditing
The way it is: Reviewing expense reports has always been a thankless task for everyone involved. Finance teams spend their time chasing missing receipts, cross-checking policy compliance and manually entering expense data from spreadsheets. It’s a frustrating administrative loop that delays reimbursements and creates friction across the organization.
The way it could be: “Touchless” expense platforms solve this by putting technology to work. Employees simply take a photo of a receipt with their phone and the system uses AI to extract the data, categorize the expense and populate a report for approval. Policy checks are automated, flagging out-of-policy spend instantly.
What it unlocks: This functionality saves your finance team countless hours and dramatically improves the experience for every employee. Faster reimbursements lead to happier, more engaged colleagues. Your finance professionals, in turn, can focus their energy on analyzing company-wide spending patterns to identify opportunities for cost savings.
automate the details that slow you down
discover the impact of automation in your financial processes4. bank and account reconciliations
The way it is: Reconciliations often define the month-end close. Teams manually compare thousands of transactions between bank statements and the general ledger, line by line, to hunt down discrepancies. It’s a highly rules-based and repetitive process that consumes valuable time at the most critical point in the reporting cycle.
The way it could be: Automated reconciliation tools can perform these checks continuously throughout the month. The system flags discrepancies in real time, allowing for faster resolution. Most of the work is already complete by the end of the month.
What it unlocks: The month-end scramble becomes a calm, automated financial process. Instead of working late to find errors from weeks past, your team always has a clear, up-to-date view of the company’s cash position. This allows them to shift their focus from looking backwards at historical data to looking forward with more accurate cash flow forecasting.
5. dunning and collections follow-up
The way it is: Manually tracking overdue invoices and sending payment reminders often falls to finance staff, who are juggling many other priorities. This can lead to inconsistent or delayed follow-ups, directly impacting cash flow and straining customer relationships.
The way it could be: Automation can bring consistency and intelligence to this process. AI-based systems automatically track outstanding balances, send personalized payment reminders and even adjust the timing and tone of communications based on a customer’s payment history.
What it unlocks: This frees your team from being reactive chasers of debt. They can focus their time on managing the more complex accounts and having proactive conversations with customers. It’s a strategic approach that strengthens customer relationships, reduces sales outstanding and improves the lifeblood of the business: its cash flow.
empowering finance for what’s next
It's normal for teams to ask what automation means for their jobs. The most successful leaders use finance automation to elevate work, not eliminate it. It is the foundation for smarter, more engaging roles. Systems handle repetitive tasks, allowing finance professionals to concentrate on insights and actions that shape performance. That includes partnering with budget owners, informing pricing and helping leaders allocate capital with more confidence.
This evolution creates a stronger talent brand. Candidates are keen to join teams where they can learn, contribute and grow. Emerging professionals enter the workforce with vastly different expectations, seeking meaningful, tech-enabled roles over repetitive manual work.
As technology accelerates, agility will become a competitive advantage. Upskilling will be key to staying agile, alleviating talent shortage and future-proofing your team. The goal is not to have fewer people in finance; but to encourage and enable teams to have the capability and strategic mindset to guide the business forward. The organizations that embrace this shift are the ones that will thrive in what’s next.