Could Your Finance Team Be More Efficient?

Most accounting teams assume their processes are efficient because the books close on time. But here's what happens when organizations actually document every task across the close cycle: they uncover thousands of manual steps, redundant approvals, and hidden dependencies they had no idea were slowing them down.

These inefficiencies add hours to the close, and worse, delay the insights leadership needs to make critical decisions about hiring, investment, and growth. That's the real cost: missed opportunities.

Strong finance strategies require combining what your team observes on the ground with what the data actually shows. Qualitative insight is valuable, but pairing it with operational metrics gives you the complete picture of how your function is really performing. 

Before implementing AI or automation, finance leaders first need a clear understanding of how their current processes actually operate.

This guide explains how to assess your finance function, identify operational bottlenecks, and build a roadmap for transformation that delivers real results.

Planning Your Transformation Roadmap

A successful transformation doesn't happen by accident. Shocking, we know. Diligent planning separates success stories from cautionary tales, giving you a clear roadmap for tracking progress. While AI and automation are generating plenty of buzz (and PowerPoint slides), a structured identification process is what actually leads to results. This initial stage ensures you understand every aspect of your organization's work so you can use data to make informed decisions — not just automate randomly and hope for the best.

1. Assemble Your Project Team

First, gather a dedicated team to drive change. This group should include executive leadership for authority and vision, skilled problem-solvers, and both automation specialists and enthusiasts. This blend of expertise and passion will be crucial for navigating the inevitable complexities ahead.

2. Create a Comprehensive Task List

To define your project's scope, document every task your accounting department performs. Start with your month-end audit logs — these will highlight those challenging areas and help you create a less stressful close process. Consider using passive time-tracking AI tools to capture what your team is actually doing throughout the month; these tools can reveal time-consuming tasks that might not make it onto a manual list.

When one finance team completed this exercise, the findings were astounding. 

• They had circa 6,000 tasks
• One internal control alone took 100 hours quarterly to complete. 

You won't know the extent of your inefficiency until you write everything down — an exercise that will save time in the long run. Need a starting point? Check out our month-end close checklist to ensure you're capturing all the critical tasks.

3. Document and Analyze Task Timelines

Data is your most valuable asset here. 

Document the average time it takes to prepare and review each task on your list. This information helps you identify inefficiencies and pinpoint where your team actually needs support. Understanding the time commitment for each task provides critical context: A five-hour task running late has a much bigger impact than a five-minute one. The quality of your analytics depends entirely on the quality of your inputs, so don't phone it in.

4. Understand Dependencies

Tasks are rarely completed in isolation (wouldn't that be nice?). Map out dependencies, which come in two flavors:

• Upstream: A task that can't start until another is finished
• Downstream: A task that impacts a subsequent task

Challenge the status quo and look for unnecessary roadblocks. Analyze your sign-off logs and approval chains. Efficiently sequencing steps based on your team's location, skills, and system capabilities can lead to significant gains. Once dependencies are documented, you can often improve performance simply by resequencing tasks based on team capacity, system availability, or process timing.

5. Gather Team Feedback

Your team holds the key to understanding day-to-day challenges. They're living this reality every day. Send out short surveys to gather individual insights into what's working, what could be improved, and what should be eliminated. Encourage teams to share challenges openly—even if they're caused by dependencies from other teams. The goal isn't to assign blame or create disagreements, but to find resolutions that help everyone.

Once you've collected feedback, cross-reference survey responses with your other data sets to identify patterns and process improvements that might not be obvious when looking at each source in isolation. This combined analysis often reveals disconnects between what teams think is slowing them down and what the data actually shows.

Hold a post-month-end retrospective session with area leaders that balances problem-solving with celebrating wins. This creates a psychologically safe forum for open discussion and collaborative improvement.

Identifying and Prioritizing Process Improvements

With your data and feedback collected, your project team can start telling the story of your current state. They'll identify general themes and rank challenges by importance. This strategic approach ensures you focus efforts on areas that will actually deliver value.

Potential improvements will likely fall into one of three categories:

People

Does data on late sign-offs indicate a need for more resources, different skills, or better absence coverage? Data can inform short-term resource planning and help you budget more accurately for future periods. Analyzing workloads reveals whether your team structure is actually optimized for the tasks at hand.

Process

Examine your current workflows. Are they overly complex? Do they cross multiple teams or time zones, creating handover delays? Process reengineering is a critical skill for your project team as they look for opportunities to streamline operations and remove bottlenecks.

Technology

Are you using the best tools for the job? Investigate whether your current technology actually supports an efficient month-end close or if there are opportunities for AI-driven automation. As you document tasks, flag any repetitive, rules-based processes — these are prime candidates for AI automation. 

Hint: Use AI to help map your findings across improvement categories

Making Decisions and Implementing Change

With a list of potential improvements in hand, the next step is prioritization. Your team can't do everything at once (despite what leadership might suggest), so focus on what's most crucial to your stakeholders.

Prioritize Impact: Focus on changes that create a ripple effect of benefits. Improving the time it takes to invoice customers, for example, not only enhances your Days Sales Outstanding (DSO) and working capital cycle but also streamlines the month-end close.

Adopt a Lean Mindset: Sometimes the best improvement is subtraction. As companies grow, processes become bloated with unnecessary steps, systems, and personnel that slow things down. Removing waste to create smooth flow is a core principle of Lean Six Sigma that delivers impressive results.

Leverage Materiality: Accuracy is essential, but you also need to be practical. Is the monetary value of a discrepancy significant enough to warrant a lengthy investigation? Establishing acceptable thresholds allows your team to focus on more critical, value-adding tasks.

Assess Risk: Review your task cadence. Does every reconciliation really need to be done monthly? Consult with your internal audit team to assess the risk associated with certain tasks. Moving low-risk reconciliations from a monthly to a quarterly schedule can save your team substantial time.

Evaluate AI Readiness: As you prioritize improvements, consider which processes are best suited for AI automation. High-volume tasks with consistent rules — like transaction matching, journal entry creation, or variance analysis — can often be automated with AI, freeing your team for strategic work. The key is identifying where AI adds value versus where human judgment remains essential.

The Tangible and Intangible Benefits of Transformation

A strategic approach to finance transformation, integrating both qualitative team insights and quantitative data, yields powerful benefits that extend well beyond the balance sheet.

Long-Term Cost Savings: More efficient processes mean you won't need to hire as many people to handle growing workloads. This creates a more sustainable and scalable operation, saving significant costs over the long run.

Improved Bottom Line: Leaner processes provide access to more live data, enabling faster, more informed decisions that can directly improve your bottom line.

Enhanced Employee Retention: Creating a culture of continuous improvement provides employees with opportunities to learn new skills and grow professionally. When their feedback is valued and they're empowered to improve their work, job satisfaction increases.

Lower Team Stress: Accounting teams are often burdened by stressful, inflexible month-end schedules. Workflow management tools and optimized processes lead to better planning, an expedited close, and a healthier work-life balance.

Increased Bandwidth: With time saved on manual, repetitive tasks through process optimization and AI automation, your finance team can engage in more strategic, value-added activities. Your accounting organization can provide data insights on customer behavior to help sales teams drive revenue growth, for instance.

Ready for the Next Step? Transform Those Processes with AI

Now that you know how to assess your finance function and identify where change is needed, the question becomes: where does AI actually fit in? Not every process needs automation, but the right ones can save your team hundreds of hours.

Our AI Playbook for Accounting picks up where this assessment leaves off. It gives you a tactical framework to:

• Evaluate which workflows are prime candidates for AI automation
• Prioritize implementations for maximum impact
• Operationalize AI solutions that deliver real results, not just flashy demos

You've done the hard work of understanding your processes. Now let AI help you transform them.

Download the Free AI Playbook 

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