Artificial intelligence (AI) is becoming an important consideration for CFOs looking to improve accounting efficiency, strengthen financial analysis, and support business growth. But with so many AI accounting solutions entering the market, understanding which capabilities deliver meaningful value—and how they fit into existing financial processes—can be challenging.
From AI-assisted invoice processing to natural-language access to financial information, the opportunities are expanding. However, adopting AI requires more than selecting new technology. CFOs need to evaluate how these tools work with their accounting systems, support financial controls, and address the needs of their organizations. This guide explores practical AI applications in accounting, the difference between AI and traditional automation, and what finance leaders should consider before investing in AI accounting solutions.
What are AI accounting solutions?
AI accounting solutions use artificial intelligence to help finance teams process information, identify patterns, analyze financial data, and complete certain accounting tasks more efficiently. Unlike traditional accounting software, which primarily relies on predefined rules and user-driven processes, AI can interpret information and assist with tasks that would otherwise require manual review or analysis.
It's important to distinguish AI from accounting automation. Traditional automation follows established rules to perform tasks such as routing approvals, generating recurring transactions, and processing intercompany entries. AI can complement these workflows by extracting information from invoices, identifying potential exceptions, or responding to questions about financial data using natural language.
For CFOs, the value comes from understanding where each technology is most useful. AI doesn't replace the need for accurate accounting data, established financial controls, or professional judgment. Instead, it can help finance teams work more efficiently and devote greater attention to analysis and decision-making. For a closer look at how these changes affect accounting professionals, explore how AI is changing the role of accountants.
How AI is being used in accounting today
AI is finding practical applications across accounting, from processing invoices to helping finance professionals analyze financial information. The capabilities vary by solution, making it important for CFOs to understand what AI can accomplish and where traditional accounting automation remains essential.
The AICPA & CIMA's AI resources for accounting and finance provide additional guidance on emerging applications and considerations for accounting professionals.
AI-assisted invoice processing and accounts payable
Accounts payable is one of the most established applications of AI in accounting. AI-powered document processing can extract vendor names, invoice numbers, dates, amounts, and other information from invoices, reducing manual data entry and helping accounting teams prepare transactions for review.
When combined with automated approval workflows, these capabilities can streamline invoice processing while maintaining appropriate review and authorization procedures. Finance teams can focus on exceptions rather than entering information from every invoice manually.
Transaction matching and bank reconciliation
AI-assisted matching tools can analyze transaction information and suggest potential matches between bank activity and accounting records. Depending on the solution, these tools may help identify discrepancies or transactions requiring additional investigation.
Not all automated bank reconciliation capabilities use AI. Rules-based matching and reconciliation automation can also reduce manual work, so CFOs should understand how a solution identifies matches and handles exceptions.
Financial analysis and reporting
AI can help finance professionals investigate financial results, identify patterns, and retrieve information using natural-language questions. These capabilities can complement traditional financial statements and business intelligence tools by making it easier to explore the information behind reported results.
For organizations managing multiple entities, access to consistent financial data is particularly important. The quality of AI-assisted analysis depends on the accuracy, consistency, and accessibility of the underlying financial data.
Conversational AI with Microsoft 365 Copilot
Conversational AI allows users to interact with business information through natural-language questions and requests. For organizations using Microsoft technology, Microsoft 365 Copilot for accounting offers opportunities to work with financial information from familiar applications such as Teams, Outlook, Excel, and Word.
With supported integrations and appropriate configuration, authorized users can retrieve accounting information, review financial activity, and perform supported tasks without continually switching between applications. The specific capabilities depend on the accounting system, available integrations, and user permissions.
How CFOs should evaluate AI accounting solutions
Choosing an AI accounting solution requires more than comparing features. CFOs should consider how the technology addresses their organization's accounting challenges, integrates with existing systems, and supports the accuracy and controls required for financial management.
Identify where AI can deliver measurable value
Start by examining accounting processes that require significant manual effort or make it difficult to access financial information. Invoice processing, transaction matching, and financial analysis are potential starting points, but the right priorities depend on your organization's needs.
Establish measurable objectives before implementing AI, such as reducing invoice processing time, improving the efficiency of reconciliations, or giving finance teams faster access to financial information. This provides a basis for evaluating results before expanding into additional processes.
Evaluate integration with existing accounting systems
AI accounting capabilities are most valuable when they work with the financial information and business applications employees already use. CFOs should evaluate how a solution connects with existing accounting systems, reporting tools, approval workflows, and operational applications.
Look for flexible integration options, including open APIs, data import capabilities, and workflow automation. A strong import engine can be particularly valuable when financial information needs to be transferred from other business systems, especially when source files contain multiple transaction lines or require field mapping and validation. Understanding the differences between open and closed software platforms can also help CFOs evaluate long-term integration flexibility.
The goal is to ensure financial information can move between systems efficiently without introducing unnecessary manual processes or disconnected data.
Assess data security, permissions, and financial controls
Financial information requires appropriate safeguards, particularly when AI tools can retrieve sensitive data or assist with accounting transactions. CFOs should understand how users are authenticated, how access permissions are enforced, and whether AI-assisted activities follow established approval and review procedures.
The National Institute of Standards and Technology's AI Risk Management Framework provides guidance for organizations evaluating and managing risks associated with AI systems.
For Microsoft 365 Copilot, Microsoft's data protection and privacy documentation explains how organizational data and existing access permissions are handled within the Microsoft 365 environment.
Maintain human oversight and verify AI-generated information
AI can assist with accounting tasks and financial analysis, but its outputs are not always complete or accurate. Finance teams should be able to review suggested transactions, validate financial information, and confirm actions that affect accounting records.
CFOs should also establish clear policies for approved AI tools, appropriate data use, employee responsibilities, and review requirements. Training employees to recognize AI limitations is just as important as teaching them how to use the technology.
Start with a focused implementation
Rather than introducing AI across every accounting process at once, begin with a defined use case that addresses a measurable business need. Evaluate the results, gather feedback from employees, and identify any adjustments needed to workflows or controls.
This approach allows finance teams to gain experience with AI, demonstrate its value, and make informed decisions about expanding its use across the organization.
Why AI readiness matters for multi-entity organizations
Before expanding AI across financial processes, CFOs need to consider the quality and accessibility of their accounting data. Even sophisticated AI tools have limitations when financial information is fragmented across disconnected systems, inconsistently categorized, or difficult to reconcile.
These challenges can become more pronounced for organizations managing multiple legal entities, subsidiaries, or business units. Separate accounting databases, inconsistent charts of accounts, and manual consolidation processes can make it harder to obtain a reliable view of financial performance.
Build a reliable foundation for financial analysis
AI works best when it can access accurate, consistent, and well-organized information. For multi-entity organizations, this means establishing reliable accounting processes, maintaining consistent financial data, and ensuring that intercompany transactions and consolidated reporting are managed appropriately.
A multi-entity accounting system can help organizations manage financial information across multiple companies without relying on separate accounting databases and extensive spreadsheet consolidation. This creates a stronger foundation for financial reporting and future AI applications.
Lessons from Momentum Enterprises
Momentum Enterprises, an organization managing 24 entities, previously relied on multiple QuickBooks company files and Excel spreadsheets to consolidate financial information. As the business grew, gathering and combining accounting data became increasingly time-consuming.
After implementing Gravity Software, Momentum centralized accounting across its entities, improving consolidated reporting and financial visibility. While the company's experience is not an example of AI implementation, it illustrates why establishing a reliable accounting foundation is an important consideration before expanding AI-assisted financial processes.
“Gravity Software helps us spend less time gathering and processing information and more time analyzing it. Having real-time visibility across our entities allows our leadership team to make better business decisions.”
Daniel Huff, CFO, Momentum Enterprises
Read the Momentum Enterprises customer story.
How Gravity Software brings AI and accounting automation together
For CFOs evaluating AI accounting solutions, the underlying accounting system is just as important as the AI capabilities themselves. Gravity Software helps growing organizations manage complex financial operations while providing a foundation for accounting automation and AI-assisted workflows.
Gravity also offers an open API and flexible data import capabilities, helping organizations connect financial information from existing business applications. Its import engine supports field mapping, data validation, and the processing of multi-line transactions, reducing the manual effort involved in bringing information into the accounting system.
Built on Microsoft Power Platform, Gravity connects financial management with Microsoft's broader technology ecosystem, including Microsoft 365 Copilot, Power Automate, and Power BI. This foundation supports AI-assisted accounting, workflow automation, and business intelligence while allowing organizations to extend financial processes as their needs evolve.
AI-assisted accounts payable
Gravity's AI-powered AP automation uses intelligent document processing to capture invoice information and reduce manual data entry. Combined with approval workflows, it helps accounting teams manage invoice processing while maintaining appropriate review and authorization procedures.
Microsoft 365 Copilot and financial information
With Microsoft 365 Copilot, authorized users can interact with Gravity accounting information through natural-language requests in familiar Microsoft applications. Depending on the supported workflow, users can retrieve financial information, review transactions, and complete accounting tasks while maintaining existing access permissions.
Accounting automation and financial reporting
Gravity also supports automated financial workflows through Microsoft Power Automate and reporting and analysis through Power BI. Together with Gravity's multi-entity accounting capabilities, these tools help finance teams manage financial information across entities, streamline established processes, and improve visibility into business performance.
See Gravity Software and Microsoft 365 Copilot in action
See how Microsoft 365 Copilot works with Gravity Software to help finance professionals access accounting information and complete supported tasks using natural language. This demonstration shows practical examples of AI-assisted accounting within familiar Microsoft applications.
Ready to explore AI accounting solutions?
Getting started with AI in accounting doesn't require transforming every financial process at once. For CFOs, the best approach is to identify where AI can provide meaningful value, evaluate how it works with existing systems, and establish the controls needed to use it effectively.
As your organization explores AI accounting solutions, consider whether your accounting system can support both your current financial management needs and emerging technologies. Gravity Software brings together multi-entity accounting, automation, and AI-assisted capabilities to help growing organizations manage financial complexity and prepare for what's next. Schedule a demo to see how Gravity can support your finance team.
Gravity Software
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Updated on October 28, 2026