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Choosing Between AI and RPA: What US CPAs and Accounting Firms Need to Know

As technology continues to reshape the accounting industry, Artificial Intelligence (AI) and Robotic Process Automation (RPA) have emerged as two leading solutions for enhancing efficiency and accuracy. While both technologies offer significant advantages, understanding their distinct roles is crucial for US-based CPAs, EAs, and accounting firms seeking to optimize their processes.
This blog explores AI vs. RPA in accounting, their applications, benefits, and how to determine the best fit for your firm.

Understanding AI and RPA in Accounting AI VS RPA

What is AI in Accounting?

AI in accounting leverages machine learning and natural language processing (NLP) to analyze large volumes of financial data, identify patterns, and make predictions. AI-driven tools continuously improve accuracy and enhance decision-making capabilities over time.

Key Applications:

  • Fraud detection: AI detects anomalies in financial transactions to identify potential fraud.
  • Predictive analytics: AI forecasts cash flow trends, tax liabilities, and risk factors.
  • Chatbots & virtual assistants: AI-powered assistants handle client queries and automate customer support.
  • Automated data analysis: AI reviews and interprets financial statements, reducing manual effort.

What is RPA and How Does it Apply to Accounting?

RPA, on the other hand, is designed to mimic repetitive human tasks by automating structured processes. Unlike AI, RPA does not learn from data but follows predefined rules to perform manual tasks efficiently.

Key Applications:

  • Accounts Payable & Receivable Automation: Processing invoices, payments, and reconciliations.
  • Bank Reconciliations: Matching bank transactions with accounting records for accuracy.
  • Tax Compliance: Automating data collection, tax form population, and filing.
  • Data Entry & Organization: RPA downloads statement, categorizes transactions, and inputs data into accounting software.

AI vs. RPA: Which is Better for Accounting Automation?

Choosing between AI and RPA depends on the specific needs of your accounting firm. AI excels in data-driven decision-making, predictive analysis, and learning from financial patterns, making it ideal for strategic and analytical functions. On the other hand, RPA specializes in rule-based automation, ensuring accuracy and compliance in repetitive tasks such as invoicing, reconciliations, and tax filings.

Here’s a comparison of AI and RPA based on their key features and best use cases:
Feature AI RPA
Learning & Adaptability Learn over time Follows predefined rules
Decision-Making Analyzes & predicts Executes repetitive tasks
Compliance May require additional oversight Ensure strict regulatory adherence
Best Use Cases Fraud detection, analytics, chatbots Data entry, reconciliations, compliance automation
Implementation Complexity Requires data training Easier to implement
While AI and RPA serve different purposes, many firms are now adopting a hybrid approach where AI enhances RPA’s efficiency. For example, AI can analyze financial data and detect anomalies, while RPA executes compliance checks and automates structured workflows. This combination ensures a seamless and highly efficient accounting automation strategy, allowing firms to stay ahead in a competitive market.

AI and RPA Adoption in Accounting:

Adoption of AI and RPA by U.S. Accounting Firms

A recent survey by Thomson Reuters indicates that 93% of large tax and accounting firms are actively using, exploring, or considering AI technologies to enhance efficiency and reduce costs. Mid-sized firms are also recognizing the benefits, particularly with RPA, which provides a lower barrier to entry for automation.

Reduction in Manual Workload Due to Automation

According to a KPMG report, 62% of U.S. companies are utilizing AI to a moderate or large extent in their finance functions. Firms that have embraced automation report a 40% reduction in manual workload, leading to cost savings and improved compliance.

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in your accounting firm?

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Choosing the Right Technology for Your Accounting Firm

When to Choose AI:

  • You need advanced data analysis and predictive insights.
  • You want to automate decision-making and enhance client advisory services.
  • Your firm is ready to invest in training AI models and managing AI compliance risks.

When to Choose RPA:

  • You require accuracy and compliance in routine accounting tasks.
  • You want a cost-effective automation solution with minimal setup.
  • Your firm handles high-volume, repetitive data entry tasks that do not require complex decision-making.

AI and RPA Integration: The Future of Accounting Automation

Instead of choosing between AI and RPA, many firms are now integrating both technologies. AI enhances RPA’s capabilities by introducing intelligence to automation workflows, allowing firms to:
  • Automate data-driven decision-making with AI-powered insights.
  • Improve efficiency by using RPA bots to execute AI-generated recommendations.
  • Reduce errors and ensure compliance while leveraging AI for risk management.

Final Thoughts: Digital Transformation in Accounting

For North American CPAs and accounting firms, AI and RPA represent a strategic shift toward automation. While AI excels in complex data analysis and insights, RPA ensures compliance and operational efficiency. Firms that combine both technologies can achieve unparalleled efficiency, accuracy, and strategic growth.
As automation technology continues to evolve, accounting professionals who embrace AI and RPA-driven solutions will be better positioned to enhance client service, scale operations, and stay competitive in the digital era.

Is your firm ready to implement AI and RPA?

Explore how Unison Globus can help you navigate the future of accounting automation today!
Unison Globus, a trusted partner for North America-based CPAs, EAs, and accounting firms, specializes in delivering cutting-edge outsourcing solutions for accounting, taxation, and finance. With a strong focus on efficiency and innovation, Unison Globus helps firms leverage automation technologies to streamline workflows and improve accuracy.
Disclaimer: This blog is for informational purposes only and provides insights into current trends in AI and RPA adoption in accounting. The information shared does not constitute financial or business advice. Firms should conduct their own research or consult experts before making automation decisions.

AI VS RPA - The Future of Accounting Automation AI VS RPA