Finance and Accounting [Process Improvement](/service/finance-modernization)

Introduction

Leadership wants faster numbers. Cleaner numbers. Numbers they trust enough to act on before the market moves. Meanwhile, many finance teams are still closing the books with spreadsheets, email approvals, and institutional knowledge that lives in one person's head.

That gap is a process problem, not a headcount shortfall.

Finance and accounting process improvement means redesigning how work actually moves: workflows, responsibilities, controls, data flows, and the technology supporting all of it. It is not simply buying automation software and hoping the chaos sorts itself out.

This guide follows a practical sequence: spot the symptoms, diagnose what's actually broken, prioritize the workflows worth fixing first, implement changes in phases, and measure whether the result is genuinely better, not just faster.

Key Takeaways

  • Process improvement should free up capacity for analysis and decision support, not just speed up the same manual work
  • Follow the sequence: assess, simplify, standardize, control, automate, then continuously improve
  • Start with one measurable, repeatable workflow, such as the close, reconciliations, AP/AR, or recurring journal entries
  • Durable change requires alignment across process owners, finance leadership, data, systems, and team capability

What Finance and Accounting Process Improvement Means

Every dollar that moves through a company passes through a finance process: procure-to-pay, order-to-cash, record-to-report, the monthly close, forecasting, audit preparation. Process improvement examines how that movement actually happens today, then redesigns it to work better.

Process Improvement Isn't the Same as Automation

The terms get used interchangeably, but they describe different things:

  • Process improvement redesigns workflows, ownership, and controls before anyone touches a tool
  • Process automation applies software, often rules-based, to tasks that are already stable and repeatable
  • Finance transformation is broader, covering technology, organizational structure, and how finance partners with the business, a description APQC uses in its finance transformation research
  • Routine maintenance keeps an existing process running without questioning whether it should exist at all

Skipping straight to automation is where most initiatives go wrong.

What a Well-Designed Process Actually Defines

A properly redesigned finance process answers a handful of questions clearly: what triggers it, what it produces, who owns each step, who approves exceptions, and what documentation counts as evidence rather than an afterthought.

When those questions stay unanswered, automating the process doesn't fix anything. It just moves the same ambiguity faster. A poorly designed reconciliation workflow, once automated, still produces unreliable reconciliations. It simply produces them faster, with less visibility into why they're wrong.

Done correctly, process improvement shows up in outcomes finance leaders actually care about:

  • Faster, more predictable management reporting
  • Clearer visibility into cash position
  • Fewer surprises during audit
  • Less rework and fewer quiet spreadsheet fixes nobody documents

Where Finance and Accounting Processes Commonly Break Down

The symptoms are usually visible long before anyone diagnoses the cause. Finance teams recognize this list quickly:

  • The close slips past day five, then day eight, then becomes "whenever it's done"
  • Reconciliations pile up and get caught up right before audit
  • The same adjusting entries reappear quarter after quarter
  • Manual journal entries multiply because the system doesn't handle an edge case
  • Three people produce three versions of the same management report

None of this is random. AP teams, for instance, still handle a meaningful share of exceptions manually. Ardent's 2025 report found an average invoice exception rate of 18.4%, with staff spending nearly a fifth of their time chasing suppliers to resolve them. That's time not spent closing books or analyzing margins.

Invoice exception rate and supplier follow-up time finance infographic

Unclear Ownership Creates Continuity Risk

When one senior accountant "just knows" how an intercompany elimination works, or how a particular customer's billing gets coded, the business runs on undocumented knowledge. That accountant goes on leave, leaves the company, or gets overloaded during close, and the process stalls.

Data and Systems Problems Compound the Issue

Common culprits include:

  • Inconsistent chart-of-accounts structures across entities
  • Duplicate or stale vendor and customer master data
  • Subledgers that don't tie to the general ledger without manual intervention
  • Reports rebuilt by hand because no single source of truth exists

Weak Controls Let Problems Travel Downstream

Informal approvals, missing segregation of duties, and controls performed after a transaction has already posted share one trait: they catch problems too late to prevent them.

Consider a simple chain. A billing error misclassifies revenue. Nobody catches it at coding. It flows into the close uncorrected, distorts the management report, understates a receivable, and eventually becomes an audit finding that could have been a five-minute fix upstream.

How to Assess and Prioritize Improvement Opportunities

Before changing anything, document how the process actually works today, not how the policy manual says it works. Trace a single transaction from trigger to completion: systems touched, handoffs, approvals, exceptions, rework, and the final report it feeds.

Combine Interviews with Evidence

Talking to the staff who run the process matters. So does pulling the evidence they're actually working from:

  • ERP activity logs and approval trails
  • Close schedules and reconciliation files
  • Prior audit findings
  • Multiple versions of the same management report

Interviews tend to describe the process as it's supposed to work. Evidence shows what happens under deadline pressure.

Set a Baseline Before You Touch Anything

Pick metrics relevant to the specific workflow, then measure them before making changes:

  • Close duration, from period-end to final reporting package
  • Reconciliation completion rate and backlog age
  • Manual journal-entry volume
  • Invoice cycle time and exception rate
  • Forecast revision frequency and post-close adjustments

Without a baseline, nobody can credibly say the new process is better. They can only say it feels faster.

Prioritize by Impact, Risk, and Readiness

Weigh each candidate workflow against:

  1. Business impact if it stays broken
  2. Control or reporting risk it carries
  3. Transaction volume and automation potential
  4. Implementation effort and cross-functional dependencies
  5. Organizational readiness for change

Look for Root Causes in Six Places

Symptoms rarely point to a single cause. Check each of these areas:

  • Workflow design: redundant handoffs, bottlenecks, and steps kept only by habit
  • People and skills: capacity gaps, unclear ownership, and training shortfalls
  • Data quality: incomplete master data, inconsistent coding, and delayed inputs
  • Controls and governance: approval bottlenecks and undocumented workarounds
  • Technology fit: tools that force manual workarounds or fail to integrate
  • Process ownership: no single owner when issues cross teams

A late close might trace back to all six at once.

Choose a Pilot You Can Win

The first pilot should be contained, repeatable, and visibly painful enough that fixing it earns credibility. It needs a clear owner, measurable outcomes, and enough support to survive a rocky first attempt. Account reconciliations or a single entity's close are common starting points.

Some companies reach this stage and realize they need outside technical accounting expertise or extra execution capacity to move quickly without derailing daily operations. That's often when Stratum Advisory Partners supports a scoped improvement project rather than an open-ended retainer.

A Practical Roadmap for Implementing Improvements

Finance process improvement works best as a phased rollout, not a single flip of a switch.

Stage 1: Assess and align. Confirm the actual business problem, document the current state, map stakeholders, and agree on what "better" looks like before writing a single procedure.

Stage 2: Design the future state. Remove unnecessary steps, clarify who owns each decision, simplify approval paths, define how exceptions get handled, and standardize policies so the process doesn't depend on one person's memory.

Stage 3: Pilot and validate. Test the redesigned workflow in a limited area first. Train the people who will run it, watch for exceptions, and compare results against your baseline before declaring victory.

Stage 4: Implement and scale. Connect the improved process to relevant systems: ERP, banking, billing, procurement, consolidation, or planning tools. Account for entity-level differences as you scale. This stage needs real change management, not just an announcement email.

Stage 5: Optimize continuously. Schedule recurring reviews, run a retrospective after every close cycle, update procedures when the organization changes, and reassess controls as the business grows.

Five-stage finance process improvement roadmap from assessment to optimization

Sequencing Around Business Events

Process improvement rarely happens in a vacuum. Sequencing matters when the company is also managing:

  • A pending transaction or recent acquisition
  • New debt or a refinancing
  • An executive vacancy in accounting or finance
  • New reporting obligations from a lender, investor, or regulator
  • An open audit issue

In these situations, Stratum Advisory Partners often supports clients through transaction accounting, purchase accounting, opening balance sheets, and the reporting requirements that follow a change in ownership. That work frequently runs alongside a broader process improvement effort rather than after it.

Document the roadmap with accountable owners, milestones, dependencies, required resources, risks, and decision points. A list of disconnected technology projects isn't a roadmap. It's a wish list.

How Technology, People, Controls, and Data Work Together

Technology should follow process simplification, not replace the thinking that should have happened first.

Match the Tool to the Task

  • Rules-based automation for stable, repetitive work like matching and three-way invoice checks
  • Analytics for visibility into cycle time, exceptions, and trends
  • Workflow tools to enforce ownership and approval routing
  • AI or intelligent automation for classification, anomaly detection, and flagging exceptions for human review

Adoption of these tools is accelerating, but adoption and impact are different things. Gartner's 2025 survey found that 59% of finance leaders report using AI, yet 91% initially rated their pilot's impact as low or moderate. Rolling out a tool isn't the same as improving a process.

Data Has to Be Ready First

Before automating anything, finance needs the data foundation in place:

  • A consistent chart of accounts across entities
  • Clean vendor and customer master data
  • A defined source of truth for each reporting figure
  • Subledgers that actually reconcile to the general ledger

Skip this step and automation just scales the mess faster.

Build Controls Into the Workflow, Not Around It

Effective internal control rests on five components working together: control environment, risk assessment, control activities, information and communication, and monitoring, as described in COSO's control framework. Embedding this in daily work means:

  • Role-based system access
  • Approval thresholds tied to transaction size or risk
  • Segregation of duties built into workflow routing
  • Automated evidence capture instead of after-the-fact documentation

People Still Run the Process

Assign one owner per end-to-end process, not one owner per task. Train people on the new workflow, not just the new software. Build in frontline input during redesign so new hires learn the improved version by default.

Judgment still belongs to people in forecasting, scenario analysis, technical accounting conclusions, and interpreting an unusual transaction.

A properly sequenced project standardizes the process and data first, automates routine matching second, and routes exceptions to a qualified reviewer. Automating a messy process and hoping the exceptions sort themselves out does not work.

Three-step finance automation workflow from standardization to exception review

Measuring Results, Sustaining Gains, and Closing Guidance

A credible scorecard combines more than speed:

  • Efficiency: cycle time, cost per transaction, manual-entry volume
  • Accuracy: exception rates, error rates, rework volume
  • Control: open deficiencies, testing results, audit findings
  • Adoption: usage rates, workaround frequency
  • Business impact: forecast accuracy, cash visibility, decision speed

The real test is whether time saved gets redirected toward analysis, forecasting, and business partnering, or simply gets absorbed by more manual work elsewhere. If the close gets two days faster but nobody spends those two days differently, the improvement hasn't changed much.

Keep Gains from Eroding

Process improvements regress quietly unless someone owns them. Protect progress with:

  • A named process owner, not a shared responsibility
  • Recurring KPI reviews against the original baseline
  • Periodic control testing, not just annual audit prep
  • Updated documentation after any organizational or system change
  • Onboarding that teaches the new process, not the old one

Present Results Honestly

Compare outcomes to the baseline set before changing anything. Document assumptions and report trade-offs plainly. Separate operational wins, such as a faster close or fewer exceptions, from broader strategic claims that take longer to prove.

Finance and accounting process improvement is a management discipline, not a one-time software rollout. The companies that sustain gains keep reviewing, retesting, and retraining long after the initial project ends.

Established, growth-stage, and investor-backed companies often need tailored support: a scoped improvement project, interim accounting leadership, or senior technical accounting expertise alongside an existing team. Stratum Advisory Partners works alongside finance leaders on those engagements.

Start small: pick one high-impact process, document how it actually works today, set a baseline, find the root cause, and define your first measurable improvement.

Frequently Asked Questions

What is process improvement in business?

Process improvement is the structured evaluation and redesign of work to achieve better outcomes: efficiency, quality, control, timeliness, and scalability. In finance and accounting, that means redesigning workflows like the close, reconciliations, or reporting so they run faster without sacrificing accuracy or control.

What are the 5 key elements of process improvement?

Most frameworks cover assessment, process redesign, ownership and change management, enabling technology and data, and ongoing measurement. Skipping any one of these, especially ownership, tends to limit how long the improvement actually lasts.

Can you give me an example of a process improvement?

A common example: standardizing account reconciliations with a clear reviewer, required supporting documentation, and automated matching for routine items, while unusual variances route to a qualified accountant. The process gets faster and more consistent at the same time.

What are the 5 stages of the accounting process?

Terminology varies by framework, but it generally includes identifying and recording transactions, posting to the ledger, preparing adjusting entries, producing financial statements, and closing the period. Some frameworks break this into more granular steps.

What are the top 5 financial KPIs?

The right KPIs depend on strategy and industry, but common choices include revenue growth, operating margin, cash-flow performance, working-capital measures, and forecast accuracy. A SaaS company and a manufacturer will weight these differently.