Key insights
- If you’re waiting until month-end to understand what happened in your business, you’re often making decisions with outdated information.
- AI-native accounting builds AI into the workflow itself, helping routine accounting activity move forward more continuously.
- Modern systems put that concept into practice by processing transactions, routing exceptions, supporting reconciliation, and giving teams a more current view of financial activity.
- People still play a critical role. AI can handle routine work, but your team and advisors bring the judgment needed to review exceptions and guide business decisions.
See if Digits fits your accounting workflow.
Businesses move in real time. Accounting often doesn’t. You need financial insight as decisions are being made, but your accounting workflows may still depend on a monthly cycle of transaction review, reconciliation, and reporting.
That gap can create friction when leaders need a clearer view of financial activity before month-end.
Digits is an AI-native platform designed to help put accounting automation into practice. Explore how it can help reduce manual effort, support continuous visibility, and give your team access to financial information when it matters most.
What is AI-native accounting?
AI-native accounting supports a more continuous approach to accounting automation by embedding artificial intelligence at the center of the accounting cycle. It helps process transactions, support reconciliations, identify exceptions, and automatically update reporting as financial activity occurs.
Rather than your accounting team waiting until the end of the month to review large volumes of activity, native AI can continuously process transactions, monitor financial activity, and surface items that need attention. The result is greater visibility into financial activity and information that keeps closer pace with the way your business operates.
What is Digits?
Digits is an AI-native accounting platform built around an Agentic General Ledger™, which applies AI directly within the ledger rather than relying solely on rules-based automation. As financial activity enters the platform, Digits evaluates transaction details, historical patterns, and account data to categorize transactions, identify vendors and customers, and support reconciliation workflows.
The platform assigns confidence levels to its recommendations, automatically processes high-confidence transactions, and routes exceptions for review. As users confirm or correct transactions, Digits learns from those decisions and continuously improves future recommendations.
Digits can also extract information from invoices, receipts, and statements from financial institutions, route documents into the appropriate workflow, and enable natural-language searches across transactions, balances, vendors, and accounting records.
Data from external systems, including payroll, bill-pay, and spend-management platforms, can flow into Digits through native integrations or the Digits Connect API. This helps keep the ledger current and gives teams a more complete, timely view of financial activity.
How Digits supports continuous close
Digits helps support a continuous close approach by processing, categorizing, and reviewing financial activity throughout the month. Rather than accumulating accounting tasks until the end of a reporting period, teams can address exceptions as they arise and maintain a clearer, more current view of financial information.
Combined with human advisory support, it helps businesses pair AI-driven accounting workflows with professional oversight.
AI-enabled vs. AI-native vs. agentic: Side-by-side comparison
AI-enabled, AI-native, and agentic describe different things: how the software is built and what it does. Digits is both AI-native and agentic, which means it’s designed not just to automate bookkeeping tasks, but to maintain reliable, continuously updated financial records at scale.
| Category | AI-Enabled | AI-Native | Agentic |
|---|---|---|---|
| How it works | AI features layered onto a traditional system | Built around AI from the ground up | AI takes action and moves work forward |
| Level of automation | Suggestions, flags, and workflow assistance | Transaction processing and review happen more continuously | Processing and reconciliation run automatically in the background |
| Verification and review | Manual review of every output | Varies — may or may not include embedded checks | Continuous AI verification across every transaction |
| Human role | Drives every step | Reviews and decides | Reviews exceptions, focuses on judgment, and provides advisory |
| What it enables | Faster completion of manual tasks | Significantly reduced processing | Continuous postings with exception-based human review |
What types of businesses may benefit from accounting automation?
Organizations often explore accounting automation when manual processes make it difficult to keep pace with the needs of the business. Common indicators include:
- Spending significant time on manual accounting tasks
- Relying on spreadsheets and disconnected systems to manage financial information
- Needing more timely access to financial data
- Looking to reduce month-end bottlenecks and repetitive review work
- Evaluating ways to modernize accounting processes and technology
AI-native accounting is a shift in how routine work gets done and where people spend their time.
The role of human oversight in AI-native accounting
AI-native accounting can automate many routine activities, but it can’t provide the context, judgment, and business insight needed to make important decisions. While AI helps process transactions, identify exceptions, and support accounting workflows, human review remains an essential part of the process.
Rather than replacing accounting professionals, AI helps shift their focus. Teams can concentrate on reviewing exceptions, evaluating financial results, and addressing issues that require professional judgment.
This combination of AI and human oversight is central to the Digits approach. When exceptions arise or business decisions need additional context, professional advisors can help evaluate the details, interpret the financial information, and connect it to practical next steps for your business.
Frequently asked questions about Digits
What is AI-native accounting?
AI-native accounting embeds artificial intelligence directly into core accounting workflows, helping automate routine activities such as transaction categorization, reconciliation support, exception identification, and reporting.
How is AI-native accounting different from AI-enabled accounting?
AI-enabled accounting typically adds AI tools to an existing workflow. AI-native accounting is designed around AI from the start, allowing accounting processes to operate more continuously and reducing the need for manual intervention in routine tasks.
What is agentic accounting?
Agentic accounting refers to accounting systems that can take a more active role in completing tasks, making recommendations, and carrying out accounting activities with human oversight. Digits’ Agentic General Ledger™ is designed to help automate routine bookkeeping processes while routing exceptions for review.
What is continuous close?
Continuous close is an accounting approach that spreads review, reconciliation, and reporting activities throughout the month rather than concentrating them at month-end. This can reduce bottlenecks and provide more timely access to financial information.
Does AI-native accounting replace accountants?
No. AI-native accounting is designed to automate routine tasks and surface exceptions, allowing accounting professionals to focus on review, analysis, and business decisions that require judgment and context.
How CLA can help with Digits accounting software implementation
A successful Digits implementation starts with confirming fit and designing the right workflows. CLA can help evaluate whether the platform fits your current accounting workflows, reporting needs, team structure, and business goals. From there, our advisors can help map how transactions, reconciliation, reporting, and exception review can work in Digits so the platform supports the way your business manages financial information.
During implementation, CLA can help prepare workflow requirements, support integrations, review processes, and guide training and adoption. After Digits is in place, CLA advisors can help evaluate exceptions, interpret financial information, consult on cash positions, and connect new visibility to decisions about hiring, spending, pricing, profitability, and growth.