In this new era of AI, you may have heard whispers of job replacement or the end-to-end automation of all human processes.
Summary
The future of accounting is collaborative: AI will work alongside you to enhance efficiency, reduce errors, and help you focus on higher-value accounting tasks.
Accounting firms are using AI for tasks like data summarization, organization, and analysis, expense and payroll processing, reporting, forecasting, fraud detection, and workflow automation.
Training is key to adoption: Firms that train their teams on AI save time and gain a competitive edge.
Actualizing the benefits of AI all starts with selecting the right AI accounting tool.
In this new era of AI, you may have heard whispers of job replacement or the end-to-end automation of all human processes.
The reality is this: AI presents an opportunity to guide financial professionals and businesses toward a new era of efficiency, accuracy, and strategic prowess. And no, AI will not replace accountants.
If you can grasp the full extent of its impact and learn how to use it, you can unlock a treasure trove of opportunities in a world where data rules and precision is paramount.
This article will cover the most important topics about AI in accounting—from its current and future role in the financial space and your workflows, to key AI trends in 2025 and the tools that will help you meet your goals.
What is AI’s role in accounting?
At the most fundamental level, AI empowers accounting firms to improve productivity and make well-informed decisions.
Because accounting AI tools are built to boost efficiency, minimize the risk of human error, and enhance overall productivity.
More specifically, modern accounting firms are using AI for:
Forecasting
Scheduling
Managing cash flow
Workflow automation
Composing emails and inbox management
Invoice processing and expense management
Data analysis
Business communication
Project management
With accounting firms that train their staff on AI saving up to 7 weeks a year per employee, the adoption of AI in accounting is expected to accelerate in the coming years. Finance organizations are quickly realizing the potential it has to improve efficiency, drive decision-making, and increase profitability.
While it's true that AI technology has brought about significant change, it's certainly not a harbinger of accountant extinction.
Here’s why:
Complex decision-making requires human judgment and expertise. Accounting requires understanding complex business transactions, regulatory frameworks, and industry nuances. AI, as advanced as it is, cannot exercise human intelligence, discretion, judgment, ethics, and creativity. All the things needed to make complex accounting decisions in unique situations.
Client relationships and trust.Building client trust and maintaining relationships are integral to the profession. Interpersonal skills, communication, and the ability to understand a client's unique financial goals and challenges are things that AI can’t replicate.
Oversight and interpretation. Human accountants play a pivotal role in guiding businesses through financial complexities. AI can automate data entry and analysis, but it cannot reliably interpret results, provide context, or advise on strategic financial decisions.
For these reasons and more, AI is more likely to complement you rather than replace you.
You should feel confident that the future of accounting jobs is collaborative; one where accountants work together to provide comprehensive financial services, and AI works alongside you to enhance efficiency, reduce errors, and help you focus on higher-value accounting tasks.
AI trends in accounting in 2025
Trend #1: Confidence in AI is growing
Hesitations around job security, data security, and AI in general are on the decline, according to the latest research. Instead, the majority of the industry is either excited about its capacity to increase speed and efficiency, reduce errors, automate tasks, and more.
“Don’t believe the hype. And don’t sit on the sidelines,” says AI engineer, Kendra Vant. “My best advice is to get in and get your hands dirty today, so you will be able to sort the hype from the substance tomorrow.”
Trend #2: Communication is the main AI use case (but new ones are emerging)
AI is streamlining communication by helping compose emails and fine-tune tone, as well as quickly summarizing lengthy email threads and internal conversations.
Other emerging use cases include research, marketing content generation, and financial forecasting and analysis.
Trend #3: AI training sets firms apart but uptake is slow
AI has the potential to save firms 18 hours a month, per employee. And that number increases by 22% when their leaders invest in AI training. As teams become more skilled in this technology, their capacity for timesaving increases significantly, with advanced users saving 71% more time than beginners.
And yet, only 37% of firms are actively investing in AI training for their teams despite 85% of accounting professionals being excited or intrigued by AI’s potential.
And with just over a quarter of accountants concerned that the gap between AI-positive firms and traditional firms will continue to widen, the time to act is now.
I don’t see AI as a disruption, I see it as an opportunity. It can only be a disruption if it catches us unawares and we’re unable to pivot. It is my role to ensure it does not.
Trend #4: Using AI for data summarization, organization, and analysis
Working with raw data in spreadsheets can be one of the biggest time sinks for accounting professionals.
Forward-thinking financial leaders are shifting the tides by using AI to analyze enormous quantities of financial data at speed and scale, providing real-time insights into a business’ financial health. In fact, using AI in financial forecasting and analysis is a top emerging AI use case among accountants globally.
This is an incredible competitive advantage over firms that are resistant to embracing new technology in the accounting profession.
Jason Staats, AI expert and founder of Realize, uses ChatGPT to get structured data out of unstructured text, slashing the time it takes to synthesize important documents.
“It's literally as simple as dragging, copying, and pasting the transactions portion of a bank statement,” Jason says. “It doesn't show the account number, just merchant descriptions, which are the same for everybody. So that's, in my book, anonymized information. You can say ‘I want a CSV with this column, this column, this column’, and [ChatGPT] will give you structured information back.”
With Karbon AI, you can bring data summarization directly into your email too. Synthesize long email conversations (including internal comments on emails), compose email drafts, and provide personalized updates to clients as their jobs progress. Try it now.
Trend #5: AI is driving predictive data analytics
AI-driven algorithms can analyze vast datasets, identify patterns, and catch potential risks that humans might overlook.
This is why AI-powered predictive analytics is enabling accountants and finance professionals to move from the time-consuming (and often monotonous) role of generating the reports themselves and into the role of evaluator.
So when AI spits out a prediction or an output, it’s your job to evaluate its accuracy and reliability by benchmarking against known outcomes, employing cross-validation techniques, using appropriate evaluation metrics, and assessing for bias and fairness.
Trend #6: Embedding AI into end-to-end practice management solutions
Generative AI tools by themselves (think ChatGPT, Gemini, Claude, and others) are most useful when they are integrated into the tools you already work with.
This is because you’ll spend less time switching back and forth between apps, and when AI is in the context of your workflow, it can be prompted by all of the current and historical data that you work with every day.
They’re discovering that embedding AI into their practice management solutions is bringing key advantages like:
A more streamlined workflow. Accountants can access AI-powered features within the same interface they use for client interactions and project management. This reduces the need to switch between applications, making the entire process more efficient and user-friendly.
Efficient client collaboration. Accountants can share AI-generated reports and insights directly from the platform, enhancing transparency and client communication.
How to incorporate AI in your accounting workflows
But to reap the benefits, you should be strategic about which of your processes can be automated or augmented with AI. “The most innovative firms aren’t just asking AI to solve their problems—they’re solving the right problems to begin with,” says Chad Davis.
Properly incorporating AI into your accounting workflows involves a systematic assessment of your current workflows:
Workflow analysis. Begin by thoroughly understanding your existing accounting processes. Document each step involved in tasks, from data entry to financial reporting.
Identify manual and repetitive tasks. Highlight tasks that are repetitive, manual, time-consuming, or prone to human error. These are prime candidates for automation or augmentation with AI.
Assess data volume and complexity. Consider the volume and complexity of data involved in each process. Tasks that require handling large datasets or complex calculations are often suitable for AI assistance.
Evaluate data variability. Determine whether the data you work with follows consistent patterns or if it exhibits variability. AI is particularly useful in handling data with variable patterns.
Analyze task suitability. Assess whether a task requires human judgment, interpretation, or discretion. Tasks that involve strategic decision-making or complex analysis may benefit from AI support rather than full automation.
Based on your assessment, you can prioritize processes that stand to benefit the most from automation or AI augmentation.
Applications of AI in accounting
But how exactly does the above fit into the real day-to-day work of accountants?
Accounts payable/receivable: Streamline accounts payable and receivable by automating the extraction of data from invoices, verifying accuracy, and routing them for approval or payment.
End-of-month reconciliations: Automate end-of-month or end-of-year reconciliations by matching transactions, identifying discrepancies, and generating reconciliation reports, reducing manual effort and errors.
Financial reporting: Analyze large datasets swiftly to generate customized financial reports, graphs, and visualizations.
Budgeting and forecasting: Create more accurate budgets and forecasts by analyzing historical data and considering various scenarios.
Fraud detection: Put AI on the frontline of fraud detection with AI-powered algorithms to monitor transactions and financial data.
Email communication: Draft, edit, respond to, or summarize emails and tame your inbox.
Workflow automation: Automate approvals, notifications, and document management, reducing the need for manual intervention across your workflows.
Client service: Use AI-driven chatbots or build your own virtual assistants to provide 24/7 support to clients, answering common questions, and potentially assisting with account inquiries.
AI tools every accountant should know about
Just like artificial intelligence itself, these AI tools are rapidly developing—the information below will be updated as more information, feedback and reviews are provided.
Karbon AI
Karbon AI is an award-winning artificial intelligence feature within Karbon’s practice management software. It combines the power of generative artificial intelligence and GPT technology with the context of your accounting firm.
With Karbon AI you can:
Summarize long email conversations and internal discussions. Rather than combing through a long email chain, a bite-sized summary can show you what’s important and actionable before you dive in.
Summarize client timelines. Get an overview of any client’s emails, work, notes relating to them, and billing data into a single client brief.
Summarize work. Get a snapshot of key highlights and recent updates on any work item.
Compose an email draft. Karbon AI can create the first draft of an email based on short prompts or keywords. You can then review and adjust before sending.
Respond to emails quickly. Access fully editable Quick Reply email suggestions for fast email responses.
Assign colleagues and contacts quickly. Smart Suggestions recommend assignments based on prior work history.
Provide personalized updates to your clients as their job progresses. Set a task within your Karbon work item to automatically draft an email reflecting your progress and any other prompts you provide.
Directly embedded into the Karbon platform, G2’s #1-rated accounting practice management solution. This means that everything you need is all in one place—no switching back and forth between apps.
Powered by Microsoft Azure OpenAI Service, giving users premier data security and reliability.
Vic.ai is a process-oriented AI automation platform designed to help accountants streamline various workflows from invoice processing to payments.
Vic.ai is an AI tool that streamlines accounting workflows.
With Vic.ai, you can:
Automatically process invoices. It automates the extraction of data from invoices, coding, and approval workflows, making it ideal for organizations that deal with a high volume of invoices.
Perform in-depth financial reporting. Vic.ai's data entry and coding can enhance the accuracy and speed of financial reporting.
Stay in policy compliance. The platform can cross-check expenses against company policies and compliance rules, flagging any discrepancies or violations.
Streamline audit preparation. Vic.ai's ability to maintain accurate records and audit trails makes it valuable for preparing for financial audits and compliance checks.
Uncover expense analytics. Vic.ai maintains a comprehensive audit trail of all expense-related activities, so you can gain insights into spending patterns and financial health for more strategic financial planning.
Detect data anomalies. Its AI can detect anomalies in financial data, helping accountants identify potential errors or fraudulent activities.
Pros:
Strong emphasis on data extraction and compliance.
Customization options allow businesses to adapt to their unique financial processes and approval hierarchies.
Can handle a large swath of expense reports and data, making it suitable for businesses of all sizes.
Supports multi-entity and multi-currency operations.
Cons:
Does not offer a broader set of tools for managing and coordinating work across teams and projects.
Pricing is not available online (only via a sales call).
Docyt
Docyt (pronounced ‘docket’) is an accounting automation software that offers a comprehensive suite of tools powered by machine learning algorithms and artificial intelligence. Its AI tool is bundled into two independent AI systems: Precision AI and Generative AI.
The Reconciliation Center in Docyt.
Here’s how it helps you get work done:
Automating bookkeeping workflows. Docyt’s Precision AI automates G/L data entry, accounts payable processing, transaction categorization, bill payment, and reconciliation.
Extracting information from documents. Docyt AI reads and understands your expenses and extracts the relevant information from your receipts and invoices.
Building financial reports. Based on your stored financial data, Docyt AI generates personalized and informative financial reports.
Enhancing collaboration. Through Generative AI, Docyt contextualizes and summarizes your internal and external conversations into accounting coding and actions.
Categorizing transactions. It recognizes and categorizes 80% of your transactions and uses generative AI to assist you with the remaining.
Supporting revenue reconciliation. Get all of your transactions automatically matched to connected bank feeds to reconcile.
Pros:
Customizable to your specific business progress and builds knowledge about your business every time you use it.
Known for its user-friendly interface and ease of use, making it accessible to businesses of all sizes, including small to medium-sized businesses.
Offers secure document storage so you can centralize and organize records.
Blue Dot is an AI financial platform for employee-driven transactions in European markets. It provides views into employee spend by assessing value added tax (VAT) spend, taxable employee benefits, and corporate tax income.
Audit Center dashboard in Blue Dot.
You can use Blue Dot and their AI models to:
Analyze and manage your VAT processes. Identify and calculate any eligible and qualified VAT spend based on countries’ tax regulations, court decisions, companies’ tax rulings, and gain insights as AI pulls from past trends of submitted VAT refund requests.
Assess taxable employee benefits. Blue Dot automatically detects and analyzes consumer-style spend that is subject to Taxable Employee Benefits (TEB).
Analyze top vendors. Gain a clear view of your vendors’ performance, broken down by expense types, spend trends, number of transactions, and overall performance.
Maintain high compliance. Ensure the highest compliance rate with a triple QA mechanism that extracts, matches and analyzes every invoice.
Gain visibility on multiple countries' tax regulations. Blue Dot offers a full employee benefits platform that displays and updates default rules per country.
Pros:
Uses multiple data sources in its AI.
Easily implemented by in-house IT professionals.
Incorporates secure audit-trail functionality.
Cons:
Pricing isn’t available online.
Does not offer a free trial.
Offers limited integrations compared to competitors.
Botkeeper
Botkeeper provides automated bookkeeping support to accounting firms by using a combination of machine learning, artificial intelligence, and skilled accountants.
Reporting dashboard in Botkeeper.
Here’s how Botkeeper works:
Custom reporting and dashboards. Botkeeper’s automated bookkeeping software combines various data sources and provides you with insightful reporting and dashboards.
Human-led. An accounting team monitors the automation and focuses on complex accounting, data integrity, and interpretation.
Handles the bookkeeping. Botkeeper extracts data from receipts, processes payroll, pays bills, sends invoices, reconciles accounts, and generates reports.
Pros
Unlimited reporting.
Accountants ultimately oversee the AI component.
Can work hand-in-hand with your current team, or the software can step in to automate manual tasks to allow your team to focus on high-value work.
Cons
Doesn’t offer a free trial.
Initial setup can be complex.
Involves a steep learning curve.
Rows AI
Rows AI is a modern spreadsheet editor that uses artificial intelligence to analyze, summarize and transform data. It leverages a direct integration with OpenAI, the creators of ChatGPT.
With Rows AI, you can use its AI Analyst function to:
Simplify your data. Rows AI will summarize the key takeaways from your dataset.
Dig deeper into your data. You can analyze and extract data trends and patterns.
Structure your data. Tag and classify any type of text automatically.
Clean up your data. Perform tasks like capitalize text, remove unnecessary text, and parse email domains.
Enrich your data. Rows AI can generate dummy data or public data points for things you already have on your spreadsheet, like countries and company addresses.
Pros
Robust support content to help you set up and make the most of Rows AI.
Offers a free plan.
Wide variety of templates and integrations (although not many are specific to accounting businesses).
Cons
Not accounting-specific.
The direct integration with OpenAI means that your data is being sent to OpenAI and is used to train it, which can be concerning especially if you’re working with identifiable data.
Because Rows AI is relatively new, especially compared to Microsoft Excel, some users report that it lacks certain features.
Receipt-AI
Receipt-AI is a receipt management tool that allows users to take a picture of their receipt and upload it via emails or text messages. Receipt-AI uses AI to retrieve key information from receipts, and it claims to save users 97% of their time compared to manually uploading receipts.
Receipt-AI receipt extraction example.
With Receipt-AI, you can:
Upload receipts from anywhere. Simply take a picture of your receipts and upload them via SMS or email.
Directly integrate with GLs. Receipt-AI uploads your expense information directly to Xero and QuickBooks.
Automatically categorize your receipts. Receipt-AI will prompt you to select a folder based on the information it has read on the receipt.
Pros
Receipt-AI claims to process receipts ~50% faster than other expense processing software.
No need to leave notes to contextualize receipts—machine learning handles that.
Supports bulk uploads.
Cons
Currently only supports text message uploads in the US and Canada.
Unclear pricing.
Difficult to find ratings and user reviews.
Chat Thing
Chat Thing allows you to create AI chatbots powered by LLMs. It uses your existing data from uploaded files, YouTube, your website, and Notion so you can ‘chat with your data.’
A demo chatbot by Chat Thing.
You can use Chat Thing to:
Summarize lengthy and complex documentation, such as tax code updates. Upload the information and ask Chat Thing to summarize it or extract key takeaways.
Create a chatbot for your clients. Help your clients find answers to common questions by uploading your support and help documentation and creating a chatbot that references that information.
Create a chatbot for your team. Upload your internal process and policy documentation and let your team ask a chatbot questions like, ‘What’s our parental leave policy?’ Rather than searching for the information, they can just ask the chatbot.
Pros
Bots can be password-protected to prevent public access to sensitive information
You can tweak the bot’s tone, behavior, and response style using system instructions.
More accurate than open-ended LLM chatbots (but not immune to hallucinations if prompts or data are lacking).
Cons
File uploads are limited to PDFs, Microsoft Office documents, .txt, and .html
Notion is the only workspace that directly integrates with Chat Thing.
LLMs beyond GPT-4o Mini are only available in the higher pricing tiers.
Not accounting-specific.
Challenges of using AI for accounting
While there are proven benefits to using AI, it also comes with its own set of unique obstacles.
Skill and knowledge gaps
Many accounting professionals are still learning how to leverage AI effectively. This isn’t helped by the low levels of AI training offered across firms globally. When teams are trained in AI, they save more time. That’s why firm leaders need to be intentional in their investments into AI training and education.
Outdated workflows
Your current systems most likely weren’t designed with AI in mind. It may take some time to update these to test how and where AI can make a difference in speed and efficiency. And with the technology changing so rapidly, these workflows will need refreshing more frequently than usual.
Errors in AI processing
Just like humans, AI isn’t perfect. It’s going to produce inaccurate information and it will hallucinate. It’s important that you don’t rely on its output without reviewing it. This is especially important if you’re using it to interpret financial data.
Adoption resistance
Accounting firm leaders are the most optimistic about AI’s impact on the profession. But 28% of individual contributors are concerned about its impact on job security. Successfully implementing AI requires strong leadership and early involvement from each team member.
In a Grant Thornton survey, 34% of respondents identified poor communication as the second-highest source of stress.
If you’re not communicating with your team about your thoughts on AI, how you plan to implement it, and how you think it will help them be more efficient, well, you’re simply doing them and your firm a disservice.
Communication should be the cornerstone of your firm’s AI implementation program. Keep this in mind as you consider these tactical ways to train your team on AI.
Step 1: Start with a clear vision
AI implementation is a team effort. Get everyone on board by involving them in the decision-making process as early as possible.
You might host a roundtable to discuss the opportunities AI presents to the firm, for example. It’s important to be open to feedback. Aim to understand the most important use cases, concerns, and skills or knowledge gaps, so that you can start to define your goals and training areas with AI.
And get specific.
Do you want to:
Automate repetitive tasks?
Make more data-informed decisions?
Communicate and engage with clients more efficiently?
Reduce risk and human error?
Clarify the key areas where AI will make the biggest impact for your team, and prioritize them. If you already have an AI tool in mind, emphasize how it will support these goals. Otherwise, that could be another chance to gain early buy-in by inviting input from the team.
The more ownership you give them, the more you set them, and your firm, up to succeed.
Step 2: Create an AI policy
A strong AI policy sets boundaries for AI usage. It’s not there to ‘police’ your team—it’s here to give them a safe and structured area to experiment responsibly.
An AI policy is not there to create a cage, it is there to create a safe playground where your team can experiment and develop their skills.
“An AI policy is not there to create a cage, it is there to create a safe playground where your team can experiment and develop their skills.” Inbal Rodnay, AI expert
To help develop your AI policy, you can use an AI policy generator for accounting firms, or you can draft it up yourself. To help you brainstorm what should be included, you can use a decision tree based on likely scenarios at your firm.
Step 3: Prioritize hands-on training
A great way to approach training is to give your team structured time to experiment with AI. Offer interactive, scenario-based training sessions that simulate real-world accounting tasks with AI tools.
For example, if your focus is on automating routine tasks like invoice processing, you could create a scenario where AI has extracted key details like vendor names, amounts, and due dates from 50 dummy invoices.
Ask the trainees to:
Review the data for accuracy.
Use AI suggestions to automatically match invoices to purchase orders or approve payments based on past transactions.
Manually override AI suggestions in cases where the tool makes an incorrect assumption, such as misidentifying a vendor.
Leave time for discussion, questions, and open conversations around what works and what doesn’t.
There are also external AI training providers that can deliver this education for you.
For example, AI expert Inbal Rodnay offers several training options, including her ‘30 Days to AI’ program, which is designed to leave you with a clear AI vision, a complete AI policy framework, confident and AI-literate team members, a strategic AI tech stack selection and implementation plan, and clear ROI metrics and success indicators.
Step 4: Encourage continuous learning
As AI continues to evolve, empower your team to evolve with it.
Make it a core part of your 1:1 check-ins with employees. Create a Slack or Microsoft Teams channel for sharing prompt ideas, use cases, and learnings. Be proactive about your own AI literacy and share resources or attend events with your team. Listen to feedback to learn what’s working and what’s not, so you can continue using AI effectively, firm-wide.
Choosing the right tool and empowering your team
Actualizing the benefits of AI all starts with selecting the right tool.
Consider the information above when assessing relevant tools, choose the one that works best for you, and train your team to use them with online courses, workshops, hands-on projects, and mentorship. Encourage continuous learning and provide access to tools, fostering a culture of peer knowledge sharing to empower employees in leveraging AI effectively.
And there’s no better way to begin than with the ultimate collaborative practice management platform.
