In mergers and acquisitions (M&A), efficiency and accuracy are everything. Financial due diligence (FDD) is a critical stage of the M&A process. Unfortunately, the traditional process is slow and labor-intensive.

Luckily, automated FDD tools offer a way to streamline the process, improve accuracy, and save valuable time for transaction advisory services (TAS) teams and M&A firms. Continue reading to learn more about what FDD is, as well as how to do FDD more efficiently and effectively thanks to automated financial due diligence tools.

Key Takeaways

• FDD is a critical M&A process that examines a target company's financial records to verify financial health and identify risks.

• Traditional FDD workflows are manual and time-consuming, often taking days or weeks per engagement.

• Automation eliminates the biggest FDD bottlenecks, saving TAS teams 8–15 hours per engagement.

• High-performing teams use standardized templates for proposals, budgets, engagement letters, databooks, and reports to ensure consistency and speed at scale.

• Crunchafi Data Extraction connects directly to accounting systems and pulls the full general ledger in minutes, eliminating delays and manual data exports.

• The future of FDD is automation-driven, enhancing anomaly detection, predictive analysis, and insight generation for firms.

What Is Financial Due Diligence?

Financial due diligence is the process of examining the financial records of a company to verify its financial health and identify potential risks and opportunities. It is a comprehensive assessment typically conducted by a third party hired by the buy-side of the transaction (the company buying or investing in the selling company. The selling company is often called the "target").

FDD is a crucial process for buyers to determine the financial health, as well as the risks and opportunities, associated with a transaction.

Types of Due Diligence

While financial due diligence focuses specifically on a company's financials, other types of due diligence provide additional views of an organization's operational health:

1. Tax Due Diligence: Examines a company's tax compliance and identifies potential tax liabilities.
2. Legal Due Diligence: Reviews contracts, licenses, permits, and other legal documents.
3. Operational Due Diligence: Assesses a company's operations, including its management, employees, and processes.
4. IT Due Diligence: Examines the company's IT infrastructure, systems, and security.
5. Environmental Due Diligence: Evaluates the company's environmental compliance and any potential environmental liabilities.

Automation in Finance

Automation has revolutionized many industries, and finance is no exception. Tasks that were once done manually, like data entry, analysis, and reporting, can now be automated using software. This frees up FDD analysts and TAS professionals to focus on higher-value tasks, like strategy and advising clients.

Many firms have found FDD automation tools to be game changers in their ability to assess the financial wellness of an organization quickly. Take Kroll, for example, who used automation to improve their margins and work quality.

Can Due Diligence Be Automated?

Many aspects of due diligence can be automated. Automating time-consuming tasks like data extraction, normalization, and analysis reduces errors, standardizes processes, and frees up FDD associates and senior analysts to focus on client service.

Manual tasks such as document review, data preparation (including reformatting), running analysis and calculations, plus reviews, become instantaneous, meaning your team gets time back and can focus on more important things.

The Financial Due Diligence Process

Traditional FDD involves a series of steps that are often manual and time-consuming, lowering firm profitability. A typical FDD process includes:

• Determining deal scope.

Automation opportunity: Standardized templates and scope checklists reduce back-and-forth and ensure nothing gets missed upfront.

• Sending a data request list to the seller.

Automation opportunity: Pre-built request lists tied to your databook template eliminate the need to rebuild the wheel for every engagement.

• Waiting (days or sometimes weeks).

Automation opportunity: Tools like Crunchafi Data Extraction eliminate the wait by connecting directly to the target's accounting system and pulling the full trial balance details and general ledger in minutes.

• Reviewing documents as they arrive and updating the request list for missing or incomplete items. Repeat this until requests have been fulfilled.

Automation opportunity: Automated financial data extraction reduces the volume of back-and-forth requests by capturing complete, structured data on the first pull.

• Converting submitted data and documents into the Excel databook to use for analysis while highlighting any questions or items to be clarified by the seller management team.

Automation opportunity: Normalization tools convert raw data into a standardized format instantly, eliminating hours of manual reformatting, copy-paste work, and formula errors.

• Multiple levels of reviewing the databook to ensure accuracy and consistency.

Automation opportunity: Standardized output formats and automated validation checks reduce review cycles and catch formatting inconsistencies before they reach senior reviewers.

• Completing meeting(s) with seller management team, including standard questions and detailed questions about the provided data.

Automation opportunity: Anomaly detection tools flag unusual transactions or trends before the management meeting, so your team walks in with sharper, more targeted questions.

• Completing analysis on key scope items, like the quality of earnings or net working capital.

Automation opportunity: Pre-built calculation templates and automated data feeds let analysts focus on interpretation and judgment calls instead of building spreadsheets from scratch.

• Converting workbooks and findings into a report for the client.

Automation opportunity: Standardized report templates tied to your databook structure reduce the time spent formatting and ensure consistency across engagements.

• Writing, reviewing, and finalizing reports before sending to the client.

Automation opportunity: Consistent formatting and automated output generation mean fewer review rounds and faster turnaround from draft to delivery.

Financial Due Diligence Checklist

Before automation can accelerate your FDD workflow, you need to know what you're working with. This financial due diligence checklist covers the core categories every FDD team should gather and verify at the start of an engagement.

Once you've collected these items, automated tools can take over the heavy lifting: extracting data, normalizing financials, flagging anomalies, and building your workbook.

Core Financial Statements

• Income statements (P&L) for the last 3–5 years, plus interim periods
• Balance sheets for the same periods
• Cash flow statements (operating, investing, financing activities)
• Audited financials (if available) and any management representation letters

Trial Balance and General Ledger

• Detailed trial balance at the transaction date and for prior periods
• General ledger with account-level detail
• Chart of accounts to understand how the target categorizes revenue, COGS, and expenses

Revenue Verification

• Revenue by customer, product, or service line for the last 3 years
• Accounts receivable aging to assess collectability and DSO trends
• Deferred revenue schedules if the target operates on a subscription or contract model
• Customer contracts for the top 10–20 customers by revenue

Quality of Earnings Analysis Inputs

• Non-recurring or one-time expenses (legal settlements, restructuring costs, executive severance)
• Related-party transactions that may need to be normalized
• Owner compensation and perks that won't continue post-transaction
• Capitalized vs. expensed items to verify consistency with GAAP

Working Capital Components

• Accounts receivable, inventory, accounts payable, and accrued liabilities at month-end for the last 12–24 months
• Working capital peg calculation (if the purchase agreement includes one)
• Seasonality patterns that affect working capital swings

Data Extraction and Normalization

• Access credentials to the target's accounting system or a willingness to grant read-only access for automated extraction
• File exports if direct system access isn't available (CSV, Excel, PDF)
• Documentation of any manual adjustments the target makes outside their accounting system

What Are Some Best Practices of High-Performing FDD Teams?

Beyond efficiency and profitability, automation also addresses a growing challenge for firms: analyst burnout and retention. 90% of accounting professionals report difficulty hiring skilled professionals and retaining the analysts a firm already has is becoming a priority.

Automated FDD tools that remove the most repetitive, low-judgment work from the workflow to make FDD work more engaging and less likely to drive experienced people out the door.

Here are several best practices that will help any firm looking to deliver high-quality, profitable FDD services to clients:

Create and Use Standard Templates

There are five core templates that an FDD team should have to succeed:

1. Proposal Template to demonstrate experience and capabilities of the team to win projects
2. Budgeting and budget-to-actual tracking templates to ensure each project is set up for and tracking towards success
3. Engagement letter approved by your legal team that is easily accessible (proposals and deal starts move fast!)
4. Databook template, the core of the project
5. Report template to deliver a consistent work product to clients

Don’t Just Train—Document Procedures

The stakes and pace of M&A are high, and that means your FDD professionals need to move quickly while maintaining accuracy and quality. While on-the-job training is critical for this type of work, make sure procedures are well documented and can be used by new team members to get up to speed quickly.

Evaluate and Use the Best Technology Tools

Best-in-class teams take a holistic approach when determining which tools to use for FDD. This includes:

1. Cost and Value
2. Security and Privacy Standards
3. Specialization in Accounting
4. Implementation, Customization and Integration
5. Adoptability by Your Team

How to Use Automation in Financial Due Diligence

FDD is rapidly changing with the emergence of technology that automates many time-consuming manual tasks. For example, certain tools can:

1. Automate data extraction. This is the prerequisite for effective FDD automation. Before tools can flag anomalies or generate standardized outputs, TAS teams need clean, complete, structured financial data. Tools like Crunchafi Data Extraction connect directly to a target company's accounting systems and pull the full general ledger without manual exports, reformatting, or client-side data prep calls.
2. Standardize output generation. This process automatically produces consistent, formatted workbooks, financial summaries, and FDD reports, eliminating manual reformatting and template population that consumes analyst time during engagements.
3. Automate anomaly detection. This process uses software to identify inconsistencies, irregularities, and patterns in financial data that deviate from expected norms. Manual financial review is sample-based, so no analyst reviews every transaction. That creates blind spots. Automated anomaly detection operates across the entire dataset, applying statistical models to establish baselines and flag deviations.
4. Accelerate document review to process, classify, extract, and summarize the high volume of diligence documents in an FDD engagement faster and more consistently than manual review. A mid-market FDD engagement routinely involves hundreds to thousands of documents: financial statements, tax returns, contracts, lease agreements, customer invoices, payroll records, and management accounts. Automated document review tools ingest all documents simultaneously, classify them, extract key terms and financial figures, and flag items requiring analyst attention. Research shows document review time can be reduced by up to 70% through automation, while critical provisions are surfaced across thousands of documents in minutes.

New Financial Tools for FDD

CPA firms using automated FDD tools start with one critical requirement: clean, complete, structured financial data. Before you get value, you need a data foundation that ensures automation has something accurate and complete to work from.

Crunchafi Data Extraction is the starting point for automated FDD workflows. It connects directly to the accounting systems FDD teams encounter most, like QuickBooks, NetSuite, and Sage Intacct, and pulls the full general ledger without manual exports, reformatting, or client-side data prep calls. That means you can start engagements earlier and spend more time analyzing data, rather than cleaning up workbooks and target financials.

Crunchafi Data Extraction delivers clean, usable data in an Excel workbook format and serves as the essential foundation that makes other automated FDD applications possible. Crunchafi helps CPA firms:

1. Reduce client burden by eliminating the need for them to generate reports or export data
2. Enhance team efficiency by bypassing manual data entry and allowing teams to focus on analysis
3. Improve accuracy by eliminating human error in data entry.
4. Increase margins by reducing time spent manipulating data

Reach out to us today to inquire about integrating automated due diligence software into your existing process!

FAQs

What are the benefits of using automated FDD tools?

Automated FDD tools save time, improve accuracy, reduce costs, and free up teams to focus on higher-value tasks.

Are automated FDD tools secure?

Reputable FDD tools prioritize security and compliance. Look for tools that offer SOC 2 Type II certification and comply with data privacy regulations like GDPR.

How much time can I save with an automated FDD tool?

Crunchafi can save firms 8-15 hours per deal. However, time savings vary depending on the tool and the complexity of the deal.

How do I choose the right automated FDD tool for my firm?

Beginning factors to consider when choosing an automated FDD tool include the types of deals you typically work on, the accounting systems your clients use, your budget, and the level of support you require. If you need more expertise to help you decide, don’t hesitate to reach out to us here at Crunchafi.

What is the future of automation in FDD?

AI and machine learning will continue to play an increasingly important role in FDD, leading to even greater efficiency, accuracy, and insight.