CPA firms are under increasing pressure to do more with the same resources. Clients expect faster reporting, more responsive service, and greater strategic support, while firms are also dealing with rising workloads and a limited pool of experienced accounting talent. As a result, automation has become an important part of the conversation.
But automation is not a single solution. Two technologies that often come up are artificial intelligence (AI) and robotic process automation (RPA). While they can both reduce manual work, they solve different types of problems.
For CPA firms, the question should not simply be whether AI is better than RPA. The more useful question is: Which technology is appropriate for the work your firm needs to automate?
Understanding the difference can help firms invest in automation strategically rather than adopting technology simply because it is currently popular.
Understanding the Difference Between AI and RPA
RPA is designed primarily to automate structured, repetitive, rule-based tasks. Think of it as software that follows a predefined set of instructions. If a process has consistent inputs and clear rules, RPA can often perform it without requiring someone to complete the same steps manually.
For example, an RPA bot could move information between systems, download reports, rename files, update spreadsheets, or perform repetitive data-entry tasks. Once the workflow is configured, the bot can perform those actions repeatedly with minimal human intervention.
AI works differently. Instead of simply following fixed instructions, AI can analyze information, identify patterns, generate content, classify data, and support decision-making. Modern AI tools can be particularly useful when accounting work involves large amounts of information or requires some level of interpretation.
This distinction is important for CPA firms. RPA is generally strongest when the process is predictable, while AI becomes more valuable when the work involves information that requires analysis or interpretation.
Where RPA Can Help CPA Firms
Many accounting processes are repetitive but still require significant amounts of employee time. These are often good candidates for RPA.
Consider a firm that receives information from multiple systems every month. Employees may have to download reports, move files into specific folders, update spreadsheets, and transfer information between applications. None of these tasks necessarily require accounting judgment, but together they can consume hours.
RPA can automate these types of workflows and allow accounting professionals to spend their time on more valuable activities.
For CPA firms, RPA can be useful for repetitive processes such as data transfers, report generation, file management, system updates, and other standardized administrative workflows.
The biggest advantage is consistency. Once a process is properly configured, the automation can perform the same steps repeatedly without employees having to manually repeat them.
However, RPA has limitations. If the process changes frequently, requires judgment, or involves unstructured information, a traditional RPA solution may become difficult to maintain.
Where AI Can Help CPA Firms
AI becomes more useful when accounting teams need to work with information that is not completely structured.
For example, an AI-powered system may be able to review large volumes of documents, identify relevant information, summarize financial data, or flag unusual patterns for further review. This can help accounting professionals work through information more efficiently.
AI can also support areas such as document processing, financial analysis, research, client communication, and internal knowledge management.
However, CPA firms should be careful about treating AI as a replacement for professional judgment. Accounting and tax work can involve complex circumstances where context matters. AI-generated outputs should therefore be reviewed appropriately, particularly when the information could affect financial reporting, tax positions, or client recommendations.
The most effective approach is often to use AI to accelerate the work while keeping experienced accounting professionals involved in review and decision-making.
AI vs. RPA: Which Is Better for Your Firm?
The answer depends on the process.
If your team is repeatedly following the same steps to complete a task, RPA may be the better option. If employees are spending significant time reading, interpreting, classifying, or analyzing information, AI may provide more value.
For example, moving data from one accounting system to another based on fixed rules could be a good RPA use case. Reviewing a large collection of financial documents and extracting relevant information may be better suited to AI.
CPA firms should therefore evaluate automation at the process level, rather than choosing a technology first.
Before implementing anything, ask what the employee is actually doing. Is the work repetitive? Does it follow a consistent set of rules? Does it require judgment? Does it involve structured or unstructured information? How frequently does the process occur?
These questions can help determine whether AI, RPA, or a combination of both makes sense.
Why CPA Firms Should Not Automate Everything
Automation can create significant efficiency gains, but that does not mean every accounting task should be automated.
Some processes require professional judgment, client communication, relationship management, or an understanding of the client’s broader financial situation. Automating these activities simply because technology is available can create unnecessary risks.
There is also the issue of process quality. Automating a poorly designed process does not solve the underlying problem. It may simply allow the same inefficient process to happen faster.
CPA firms should first standardize important workflows, eliminate unnecessary steps, and establish clear responsibilities. Once the process is reliable, automation can be introduced where it provides measurable value.
This approach also makes it easier for firms to determine whether they need AI, RPA, additional accounting talent, or a combination of all three.
Combining Automation With Human Accounting Talent
Technology works best when it supports people rather than being treated as a complete replacement for them.
A CPA firm may use RPA to handle repetitive administrative workflows while using AI to assist with information-heavy tasks. At the same time, trained accounting professionals can manage the accounting work, review automated outputs, investigate exceptions, and handle situations that require judgment.
This creates a more practical model for scaling accounting operations.
An offshore accounting team can also complement this approach. Routine accounting preparation can be handled by trained offshore professionals, while automation tools reduce repetitive manual work within their workflows. US-based CPAs and senior accountants can then focus on review, client communication, advisory services, and complex accounting decisions.
The combination of technology and accounting talent can give firms more capacity than relying exclusively on either one.
How CPA Firms Can Choose the Right Automation Strategy
A good starting point is to identify where employees are consistently spending time on repetitive or inefficient work. Look at the processes that occur every day or every month and determine how much time they consume.
Next, separate those activities into different categories. Highly repetitive, rule-based processes may be suitable for RPA. Tasks involving document interpretation, classification, analysis, or content generation may be candidates for AI. Activities requiring professional judgment may need to remain with experienced accounting professionals.
Firms should also consider the cost of implementation, system compatibility, security, data privacy, and the level of human oversight required.
The goal should not be to automate the largest possible number of tasks. The goal should be to automate the right tasks so the firm’s professionals can spend more time on work that directly contributes to client value and firm growth.
Creating a Scalable Accounting Workforce
Automation is only one part of a CPA firm’s long-term talent strategy. Even with AI and RPA, firms still need accounting professionals who understand the work, monitor processes, review results, and handle exceptions.
This is where a combination of US-based professionals, offshore accounting talent, and technology can create a scalable model.
Instead of asking one employee to manage every part of an accounting process, firms can divide responsibilities based on complexity. Technology can handle repetitive activities, offshore professionals can support accounting preparation and recurring workflows, and US-based CPAs can focus on review, advisory, and client relationships.
That model can help firms increase capacity without relying entirely on hiring more senior professionals.
Final Thoughts
Choosing between AI and RPA is not really about determining which technology is better. For CPA firms, the right automation strategy depends on the type of work being performed, the complexity of the process, and the amount of human judgment involved.
RPA can be highly effective for predictable, rule-based workflows, while AI can help firms work more efficiently with information that requires analysis and interpretation. In many cases, the strongest approach may be to combine both technologies with skilled accounting professionals.
As firms plan for long-term growth, the focus should be on building an operating model where technology and talent complement each other. The right combination can reduce repetitive work, increase capacity, improve consistency, and give CPAs more time to focus on clients.
If your CPA firm is evaluating ways to expand accounting capacity through technology and dedicated offshore talent, contact Finsmart Accounting at [email protected]
FAQs
Start by mapping the process and identifying whether it follows fixed rules or requires interpretation. RPA is generally better for repetitive, predictable workflows, while AI is more suitable for tasks involving document analysis, classification, pattern recognition, or unstructured information.
Yes. A firm can use RPA to move data between systems or automate repetitive steps, while AI handles tasks such as document analysis or identifying unusual information. Combining both can create a more efficient workflow while keeping accounting professionals involved in review.
Tasks involving professional judgment, complex client situations, tax decisions, and final financial review should generally retain human oversight. Automation can prepare or analyze information, but experienced CPAs should remain responsible for decisions that require accounting expertise and judgment.
In this Article
editor
Maanoj Shah is the Co-founder & Director of Growth Strategy & Alliances at Finsmart Accounting, where he pioneered the “Accounting Seat” model—a revolutionary offshore embedded staffing solution purpose-built for Accounting and CPA firms. Widely recognized as an outsourcing and offshoring expert, Maanoj’s insights have been featured in leading accounting publications, and he regularly speaks at premier industry conferences including Scaling New Heights, Bridging the Gap, BKX, and Women Who Count.
A dynamic growth leader with over two decades of experience, Maanoj has incubated, scaled, and exited ventures across Fintech, HR, and Consulting sectors, holding various CXO roles throughout his career. His passion for scaling businesses is matched by his commitment to social impact. He is the Co-founder of Mission ICU, a national healthcare initiative that installs critical care units in underserved areas of India, and was recognized by the World Economic Forum for its last-mile impact.
Outside of work, Maanoj leads an active lifestyle as an avid tennis player and passionate golfer, blending strategy and agility on and off the court.
CONTENT DISCLAIMER
The content in this article is for general information and education purposes only and should not be construed as legal or tax advice. Finsmart Accounting does not warrant or guarantee the accuracy, completeness, adequacy, or currency of the information in the article. You should seek the advice of a competent lawyer or accountant licensed to practise in your jurisdiction for advice on your particular situation.
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