AI tools for small business accounting and finance: A Guide

If finance admin keeps spilling into evenings or weekends, automation may seem like an easy fix. AI tools for small business accounting and finance can take on parts of repetitive work, from sorting transactions to drafting routine emails and summarizing documents. But "automated" doesn't always mean "accurate," and mistakes can affect your records or decisions. Start with low-risk tasks, limit the information a tool can access, and make sure someone checks important results. This guide covers useful AI applications, features to compare, common costs, and ways to measure whether a tool is truly saving time. You'll also learn when to ask an accountant or other qualified professional for help.

Key Takeaways

• Choose a clear starting point: Identify the finance task that takes the most time, then look for a tool built to support that workflow.
• Test results, not just features: Compare accuracy, review time, setup effort, integrations, and total cost using a real, low-risk task.
• Keep human oversight in place: Protect sensitive data, review AI-generated work, and ask a qualified professional about tax, payroll, or compliance decisions.

What Can AI Do for Small-Business Finance?

AI can help small businesses organize financial information, spot patterns, and handle routine work. It can also support everyday decisions, but it works best when your records are accurate and you review its output.

Predict trends and support decisions

AI tools can analyze financial records to highlight patterns, such as rising expenses, changing sales, or recurring cash-flow gaps. Use these insights to plan for upcoming costs and identify where you may need to investigate further. Forecasts depend on the quality of your data, so keep records current and check that important transactions are included.

Some AI agents can also assist with reviewable administrative tasks, such as gathering research, summarizing documents, drafting client emails, and turning meeting notes into task lists. These tasks can reduce busywork, giving you more time to focus on financial decisions. Tidyflow outlines how AI agents can support this kind of work in accounting firms.

Compare AI features with basic automation

Basic automation follows rules you set in advance. For example, it can send an invoice reminder after a set number of days or categorize a recurring payment according to a rule. AI can work with less structured information, such as reading details from a receipt or suggesting a category for an unfamiliar transaction.

The difference can help you assess which features fit your needs. Rules-based automation may suit predictable, repeatable tasks, while AI can help interpret information that varies. Either way, check that you can review and correct results before they affect your books. Accounting Wise explains how AI and automation differ, with examples for small businesses.

Know when to use human judgment

AI can organize information and flag items for review, but it shouldn't make every financial decision for you. Unusual transactions, complex bookkeeping questions, tax filings, and payroll or compliance decisions may require professional expertise and context that a tool doesn't have. Consider involving an accountant or other qualified adviser when a decision could affect your tax position or legal obligations.

Build review into your workflow, especially before submitting returns or approving payments. AI can make mistakes, and its suggestions may not account for your business's specific circumstances. Tidyflow notes that AI agents are not ready to independently manage bookkeeping or make professional judgments. Treat their output as a starting point, and verify important details before acting.

Which Finance Tasks Can AI Automate?

AI can handle many repetitive finance tasks, from sorting transactions to drafting payment reminders. It works best when a task follows clear rules and a person can check the result. Start with one time-consuming workflow, review the tool's suggestions, and expand its role only when you're confident in its accuracy.

Track expenses and categorize transactions

AI tools can suggest categories for transactions based on details such as merchant names, amounts, and your past bookkeeping choices. Some can also extract information from receipts and match them to bank transactions, cutting down on manual entry.

Check these suggestions regularly, especially when you first start using a tool. An unfamiliar merchant or a purchase that combines business and personal expenses may be categorized incorrectly. Correct errors before they affect your books, and see whether your software uses your corrections to improve future suggestions. For examples of how AI can support routine accounting work, read Tidyflow's guide to AI agents for accounting firms.

Process invoices, send payment reminders, and reconcile accounts

AI can extract key details from invoices, organize bills by due date, and prepare reminders for overdue payments. Some tools let you schedule reminders automatically, so customers receive consistent follow-ups without you writing every message yourself.

For reconciliation, software can compare bank transactions with invoices, receipts, or bookkeeping entries, then flag items that don't match. Review exceptions before approving them: a duplicate payment or incorrect amount can create problems in your records. Confirm that a tool connects with your bank and supports your invoicing process before relying on it. Accounting Wise's overview of small-business automation covers features such as bank feeds, transaction matching, receipt capture, and invoicing.

Forecast cash flow and support reporting and payroll

Some tools use past transactions and current business data to estimate future cash inflows and outflows. A forecast can help you spot a potential gap between when bills are due and when customers are likely to pay. Use it as a planning aid, not a promise: late payments, seasonal shifts, and unexpected costs can change the outlook.

AI can also help prepare reports, highlight unusual changes, and explain differences between expected and actual figures. In payroll workflows, automation may organize information or support calculations, but employee details and payroll rules need careful attention. Verify figures before processing payroll or making decisions based on a report. Figsflow explains how AI agents can prepare reconciliations and variance explanations for human review.

Summarize documents, draft finance emails, and follow up

AI can summarize financial documents, identify dates and action items, and draft routine emails about missing receipts or overdue invoices. It can also turn meeting notes into follow-up tasks, such as confirming a payment or requesting a tax document. These features can help you keep paperwork and routine communications moving.

Before using a summary or sending a draft, check names, amounts, dates, and instructions. AI can miss details or misread a document, even when its answer sounds certain. Don't enter sensitive financial or customer information into a tool your business hasn't approved. Tidyflow's examples of AI tasks for accounting teams include summarizing documents, drafting client emails, and following up on missing paperwork.

Which AI Tools Should Small Businesses Compare?

The right finance software depends on the work you need it to do. Before comparing products, identify your biggest bottleneck: bookkeeping, receipt capture, cash-flow visibility, payment approvals, or employee spending. Note how often the task comes up, which systems are involved, and what a useful result would look like. Then compare tools based on accuracy, review time, data controls, and how well they fit your current processes. A long feature list matters less than whether the software handles your actual workflow reliably.

It also helps to distinguish accounting platforms from tools for payments and spending. Accounting software can organize transactions and support reporting, while finance tools may help manage payments, company cards, or approvals. Some businesses need only one platform; others need products that work together. When evaluating options, test a real, low-risk task and check how the software handles exceptions, integrates with your other systems, and lets you export records. This guide to evaluating AI for accounting workflows offers a useful framework: focus on the task, review effort, and data handling, not just the AI claims.

Use myAImatch to find personalized AI tools

If you're not sure where to start, myAImatch can help narrow your search. Its free MAI assessment asks three questions about what slows you down, then recommends tools based on your needs. The recommendations draw from a hand-reviewed AI Tool Vault, helping you explore options selected for their relevance rather than sift through a scraped software directory.

Treat the results as a shortlist, not a final verdict. Check whether each recommendation supports the finance task you want to improve, connects with your existing systems, and gives you a clear way to review its work. A tool for drafting routine finance emails, for example, solves a different problem from bookkeeping software that matches transactions. Once you have a few candidates, test them against the same task so you can compare the results fairly.

Compare accounting platforms with AI bookkeeping

For bookkeeping, consider platforms such as Xero, QuickBooks Online, FreshBooks, FreeAgent, Accounting Seed, and Sage 50cloud. Features, pricing, and availability vary, so confirm that each product suits your location, business structure, and accounting needs. Xero and QuickBooks Online are often considered for everyday bookkeeping and bank reconciliation, with automation features and integrations, according to this comparison of accounting automation platforms.

During a trial, check how the software imports bank transactions, suggests categories, matches records, and flags unusual items. Also test how easily you can correct a mistake, review changes, and prepare reports for your accountant. If your business operates in the UK, confirm that the platform supports relevant Making Tax Digital requirements. A useful accounting tool should make routine work easier without making it difficult to understand or amend the records it creates.

Explore tools for expenses, payments, and spending controls

If receipts, reimbursements, or payment approvals take up time, compare expense and finance tools alongside accounting software. Depending on the product, features may include receipt capture, transaction matching, invoicing, payroll, spending limits, and approval workflows. A guide to AI and automation for small-business accounting covers common tasks such as bank feeds, receipt capture, and compliance requirements.

List your needs before you assess products. Do employees need company cards? Should managers approve purchases above a certain amount? How quickly should expense records appear in your accounting software? Compare relevant fees, user limits, approval settings, integrations, and export options. A tool may simplify receipt collection but still add work if transactions don't sync properly or require frequent manual corrections. Try a typical expense from submission through approval and reconciliation to see where the product genuinely helps.

Match tools like Dext, BILL, and Melio to your workflows

The myAImatch AI Tool Vault includes catalog profiles for Dext, BILL, and Melio, each aimed at a different finance workflow. Dext focuses on bookkeeping and expense-management tasks such as capturing receipts and invoices, while BILL brings accounts payable, accounts receivable, spending, and expenses into one platform. Melio focuses on accounts payable, bill payments, invoicing, and related workflows. Treat these as starting points for comparison, not as a claim that one tool is right for every business.

Start with the specific problem: for example, reducing receipt entry, coordinating invoice approvals, or paying vendors. Then check each provider's features, availability, integrations, and fees against your business's location and requirements. You can visit Dext through myAImatch, visit BILL through myAImatch, or visit Melio through myAImatch after reviewing the relevant catalog profile. Some Visit links may earn myAImatch a commission at no extra cost to you. Product details and plan terms can change, so confirm current information with the provider.

Test a typical payment, expense, or bookkeeping task from start to finish. Check how transactions reach your accounting software, how approval rules work, and what happens when a purchase needs review. Consider the time saved alongside the effort required to set up policies and handle exceptions. This accounting software comparison recommends choosing based on your biggest workflow bottleneck and testing shortlisted products before you commit. Verify current product details directly with each provider before making a decision.

Which Features Matter Most in AI Accounting Tools?

The right AI accounting tool should make routine finance work easier without taking control away from you. Focus on features that address your actual bottlenecks, and check how the software handles errors, approvals, and access to your records.

As you compare options, think about the full workflow, from capturing a receipt to reviewing a report. A tool may suggest categories or flag unusual transactions, but you should be able to check its work and correct mistakes. If you're unsure where to start, myAImatch can recommend AI tools based on the tasks that slow you down.

Capture receipts, match transactions, and flag exceptions

Receipt capture lets you upload or photograph a receipt so the software can read details such as the merchant, date, and amount. It may then suggest an expense category and match the receipt to a bank or card transaction. Check suggested matches before accepting them, especially when the amount, date, or vendor looks unfamiliar.

Look for alerts about missing receipts, duplicate entries, unusual spending, or transactions the software can't categorize confidently. These exception flags help you focus on items that need attention instead of reviewing every record in the same way. Common accounting automation features include bank feeds, transaction matching, receipt capture, invoicing, and payroll, as described in this guide to AI and automation for small businesses.

View cash flow, forecasts, and reports

A clear cash-flow view can show what money is coming in, what's going out, and which bills are due. Forecasts may help you spot a possible shortfall, plan for upcoming expenses, or decide when a purchase fits your budget. Treat them as estimates, not guarantees: they depend on accurate records and assumptions that reflect how your business operates.

Check that reports answer practical questions, such as which expenses have increased or how much customers owe. You should be able to trace figures back to their source and adjust reporting periods or categories. Xero and QuickBooks Online are examples of platforms recommended for everyday bookkeeping and bank reconciliation, with automation features that can support reporting.

Connect banks, payroll, and business software

Integrations can reduce duplicate data entry by linking accounting software with your bank accounts, payment platforms, payroll provider, and invoicing system. Before choosing a tool, confirm it supports your country and specific account types. Availability can vary, even when a provider advertises a wide range of connections.

Find out what information syncs between systems, how often it updates, and what happens if a connection fails. A large app directory can be useful, but prioritize integrations that solve a real problem in your workflow. For example, Xero's accounting features and app connections include bank feeds, reconciliation, invoicing, expense capture, and connections to more than 1,000 third-party apps.

Manage approvals, audit trails, and data exports

AI may suggest an expense category or prepare a reconciliation, but your team should remain responsible for changes to official records and payments. Look for approval steps that let someone review actions before the software posts transactions, changes records, or sends messages. Set user permissions so each person can access the information and tasks they need.

An audit trail should show what changed, when it changed, and who approved it. This can make errors easier to investigate and help you maintain reliable records. Check that you can export transactions, invoices, and reports in a usable format if you move to another provider. To reduce risk, Tidyflow's guidance on AI agents for accounting firms recommends starting with low-risk, read-only tasks and requiring human approval for record changes and client-facing actions.

How Much Do AI Accounting Tools Cost?

AI accounting costs depend on your business size, the features you need, and how many people will use the software. Look beyond the monthly price: plan limits, setup work, and the time needed to review results all affect the total cost. If you're also considering tools for expenses or payments, myAImatch can help you find options suited to your workflow.

Compare plans, user limits, and transaction caps

Cloud accounting plans vary by provider, currency, business size, and included features. A Figsflow comparison of accounting software compares products including Xero, QuickBooks Online, FreshBooks, FreeAgent, Sage 50cloud, Maxima, and Accounting Seed. Treat any price shown on a comparison page as a starting point, and confirm current pricing directly with the provider.

Treat a starting price as a baseline, not the full cost. Check how many users a plan includes, whether it caps transactions or invoices, and which features require an upgrade. If you need several tools, compare their combined subscription costs before choosing a setup.

Check for free plans, trials, and discounts

A free trial lets you test a platform with your own finance tasks before you pay. Xero, QuickBooks Online, FreshBooks, and FreeAgent have offered 30-day trials, according to Figsflow's review. Trial terms can change, so confirm the current length, included features, and any payment requirements with the provider.

Use the trial to test tasks you'll handle regularly, such as importing transactions, matching receipts, creating reports, or connecting a business bank account. Check whether a discount applies only to the first few months and what the standard price will be afterward. This helps you judge whether the tool fits your routine, not just whether the introductory offer looks affordable.

Account for setup, review, and correction time

The subscription is only one part of the cost. You may also spend time connecting accounts, importing records, setting categories, and showing staff how to use the tool. AI-generated results need review, too, especially when transactions are unusual or records are incomplete. Keep this work in your estimate, since human oversight remains important.

Small-business owners may spend five to 15 hours a month on financial administration. Well-implemented software can reduce that time by half or more, although results depend on your records and processes. A Wise's guide to AI and small-business automation discusses potential time savings. Compare your current workload with the time required for setup and review to estimate whether the tool is worth its cost.

How Can You Measure Time Savings?

A tool's time-saving claims matter less than the results in your business. Before automating a finance task, record how long it takes now, how often you do it, and how much checking it requires. Then track the same details after setup. This helps you see whether automation reduces the workload or shifts it to a different part of the process.

Find your most time-consuming finance tasks

For one or two weeks, track the time you spend on recurring finance work. Include bookkeeping, sorting receipts, categorizing transactions, sending invoices, following up on late payments, and preparing reports. Small tasks can add up when they happen often, so note both the time spent and how frequently each task occurs.

Small-business owners may spend 5 to 15 hours a month on financial admin, according to Accounting Wise's guide to AI and automation. Use that figure as context, not a benchmark: your workload will depend on your transaction volume and processes. Once you have a baseline, focus on the task that takes the most time or causes the most delays. If you're unsure which tools address that bottleneck, myAImatch can help you explore personalized AI recommendations.

Compare current and AI-assisted workflows

Pick one repeatable task and compare the old process with the AI-assisted one. For example, time your usual bank reconciliation, then measure the new workflow from importing transactions to reviewing suggested matches and correcting errors. Compare periods with similar transaction volumes to make the results more meaningful.

Track accuracy as well as speed. Record how many transactions the tool categorizes correctly, how many need edits, and whether anything is missed. Figsflow's accounting automation overview recommends assessing automation features, ease of use, pricing, and integrations. Test shortlisted tools on the specific task you want to improve, rather than relying on a feature list. A trial can reveal whether the software fits your real workflow before you commit.

Weigh time saved against setup and review effort

Include setup and ongoing review in your calculations. Connecting accounts, creating rules, importing records, and training staff all take time. So does checking suggested matches and correcting mistakes. Compare those hours with the time saved over a week or month, and revisit the numbers once the workflow has settled.

For example, a tool that saves two hours each month may still be worthwhile, but the benefit could take time to outweigh setup and frequent corrections. Start by automating common, predictable transactions, and leave unusual items for human review. Accounting Wise notes that connected bank feeds and clear rules can make bookkeeping reviews faster. Measure the full process, including review, so you can decide whether the tool is making finance work easier.

How Should You Choose AI Tools?

The best AI accounting tool is one that solves a finance problem you deal with regularly, fits your business, and works with the systems you already use. Start by listing what slows you down, then compare tools against those needs instead of getting distracted by features you may never use.

If you're not sure which type of AI tool to consider, myAImatch offers a free, three-question assessment. It uses your answers about what's taking up time to suggest tools from a hand-reviewed collection.

Start with your biggest finance bottleneck

List the finance tasks that take the most time or create the most frustration. You might spend hours sorting expenses, following up on unpaid invoices, reconciling bank transactions, or preparing for month-end close. Choose one pressing task to address first, then look for tools designed to help with it.

A tool that handles one difficult workflow well may be more useful than a platform packed with features you don't need. Figsflow's accounting software guide recommends choosing software around your biggest workflow bottleneck and testing shortlisted products before committing. Set a clear goal, such as reducing the time spent on invoice reminders or speeding up transaction reviews. A specific goal makes it easier to judge whether the tool is worth keeping.

Match features to your business size and needs

Focus on what your business needs now, while leaving room to grow. A sole proprietor may prioritize expense tracking, invoicing, and tax-ready reports. A growing team may also need approval workflows, role-based permissions, payroll connections, or reports across multiple accounts.

Consider how much human oversight your finances require, too. AI can help categorize transactions and identify patterns, but an accountant may still need to review reports or advise on complex tax questions. Make two lists: features you need and features that would be helpful. This keeps comparisons focused and helps you avoid paying for extras that add complexity without solving a real problem.

Check integrations, data portability, and ease of use

Check that a tool connects with the systems you rely on, such as your bank, payroll provider, payment platforms, and other business software. If an accountant helps manage your books, confirm that they can access the platform. You may also need to check that it meets local tax requirements.

Find out how to export your financial records before you sign up. You should be able to access and transfer your data if you change platforms later. Then test the interface: if common tasks are hard to find, the tool may create more work than it saves. Accounting Wise's small-business guide also recommends checking integrations, accountant access, data exports, and whether a tool can support future growth.

Test key workflows before you commit

Use a trial or demo to try the tasks you expect the tool to handle. Upload a receipt, check how it categorizes an expense, reconcile a transaction, or generate a cash flow report. Look for accurate results and a clear way to correct errors.

Begin with a low-risk workflow and keep your usual review process in place while you test. Track the time spent on setup, checking, and corrections, not just how quickly the software completes the task. Figsflow recommends testing shortlisted accounting products before making a commitment. A hands-on trial can show whether the tool fits your processes and saves enough time to justify the cost.

What Risks Come With AI for Small-Business Finance?

AI can help with routine finance tasks, but its results can be wrong, incomplete, or based on sensitive information. Treat AI output as a draft to check, and keep clear review steps in place before acting on it.

Watch for errors in categories, forecasts, and summaries

AI may put a transaction in the wrong category, misread a receipt, or create a cash flow forecast from incomplete data. A polished answer can still be inaccurate, so check the source records before relying on it. Pay close attention to tax treatment: VAT rules can be complex, and changes in regulations may make an automated workflow outdated. Accounting Wise's guide to AI and automation recommends checking automated outputs instead of assuming they are correct.

Set a regular review schedule. Compare forecasts with actual results, check unusual transactions, and confirm summaries against the original documents. Review your results again after changing automation rules or connecting a new data source.

Protect data with clear access and security controls

Finance tools can handle bank details, payroll records, invoices, and customer information. Before entering data into an AI tool, check what information it collects, how it stores that information, and whether it uses your data to train its models. Avoid sharing identifiable or confidential client data with public AI tools. Use services approved by your business, and provide only the information needed for the task.

Give access only to staff who need it, and use strong authentication where available. Tidyflow's guidance on AI agents for accounting recommends checking data practices and limiting access. Also confirm how to delete information and what happens to it if you stop using the service.

Get expert review for tax, payroll, and compliance decisions

AI can organize records, summarize documents, and prepare draft calculations, but it may miss a special circumstance or apply an outdated rule. Have a qualified accountant or payroll professional review important outputs before filing returns, processing payroll, or making decisions that affect your obligations.

Use AI to prepare questions or flag items for attention, then ask an expert to verify the details. Accountants can apply judgment to complex cases and provide support during compliance reviews or enquiries. Accounting Wise advises qualified review before filing. Keep records of approvals and corrections so you can spot recurring issues and improve your process.

How Can You Use AI Accounting Tools Safely?

AI accounting tools can help with routine finance work, but they need clear boundaries and human oversight. Before using one, decide which tasks it can handle, what information it can access, and when a person must review its work. This gives your team a practical way to test automation without handing over decisions that need context or professional judgment.

Start by mapping the process you want to improve. Note who handles each step, what data the task uses, and what could happen if the result is wrong. Then choose one contained workflow to test, such as summarizing billing activity or drafting a payment reminder. Compare the tool's output with your usual process, and track errors and corrections as well as time saved.

Set simple rules before the test begins: use approved services, limit access to necessary information, require review before significant changes, and record important approvals. Tidyflow's guidance on AI agents for accounting recommends starting with low-risk work and keeping people involved in actions that affect records or clients. Use the steps below to build a process your team can follow consistently.

Start with low-risk, repetitive tasks

Begin with work that happens often, follows clear rules, and has limited consequences if the first result needs correction. Useful starting points include preparing read-only billing reports, summarizing job activity, or drafting routine finance emails for a person to review. These tasks can reduce manual effort without giving an AI tool permission to change financial records.

Keep the first test narrow. For example, an AI tool could draft a payment reminder using approved information, while a staff member checks the amount, recipient, and wording before sending it. If the tool suggests a change to an accounting record, require it to show the proposed details and wait for a person to approve them. Tidyflow's recommendations support human confirmation before record changes. Once the workflow produces reliable results, decide whether expanding the tool's role makes sense.

Limit sensitive data and use approved tools

Treat financial and client information as sensitive, even when a tool makes it easy to paste in documents or connect accounts. Don't enter identifiable or confidential details into a public AI service unless your business has reviewed and approved its use. Check how the provider stores information, who can access it, whether customer data may be used to train models. And how you can remove data when it's no longer needed.

Give each tool access only to the information required for its task. An assistant preparing an invoice summary may need dates and totals, but not full customer profiles or payroll files. Use individual accounts and permissions where possible, rather than sharing one login across the team. Tidyflow's accounting guidance also recommends choosing approved services and limiting data access to what the workflow requires.

Review unusual transactions and final approvals

AI can spot patterns and flag entries, but it may misclassify a transaction, miss important context, or create a confident summary from incomplete information. Review unfamiliar vendors, unusual amounts, flagged exceptions, and entries that don't match your normal process. Pay particular attention to tax, payroll, compliance, and client-facing work, where errors can have wider consequences.

Set approval points before using a tool in a live workflow. For example, an AI system might suggest a transaction category or prepare a report, while a qualified person confirms the result before it is recorded or submitted. Don't rely on AI alone for professional judgment, client advice, or end-to-end tax filing. Tidyflow's guide to accounting agents notes that unusual cases and exceptions still need qualified review. Keep a record of who checked and approved important actions.

Train staff, document workflows, and check results regularly

A safe process depends on the people using the tool as much as on the tool's settings. Train staff on which services are approved, what information they can share, and which outputs need review. Document each workflow in plain language: what the tool does, what data it uses, who checks the result, and what to do when something looks wrong. Clear instructions help everyone follow the same process and make gaps easier to spot.

Check results regularly, especially during the first few months. Compare AI-generated work with source records, track corrections, and ask staff whether the workflow adds extra steps. Accounting Wise's guide to AI and automation recommends automating predictable tasks, sending uncertain items for human review, and checking results monthly at first. Review the process when your systems or business needs change, and have a person verify filings before submission.

Frequently Asked Questions

Can AI manage my small business's finances on its own?
No. AI can help organize records, suggest transaction categories, and prepare summaries, but people should review important outputs. Ask an accountant or qualified adviser for help with tax, payroll, and compliance decisions.

What's the difference between AI and accounting automation?
Traditional automation follows rules you set, such as sending a reminder after an invoice becomes overdue. AI can interpret less predictable information, such as details on a receipt, and suggest what to do with it. Both need checks for errors.

Which finance task should I automate first?
Start with a repetitive, low-risk task that takes time, such as sorting receipts or drafting payment reminders. Test the tool on real examples, then compare the time saved with setup, review, and correction time.

How can I choose an AI finance tool for my business?
Identify the task you need help with, then check whether the tool fits your existing systems, protects your data, and lets you review and export its work. A free, three-question assessment from myAImatch can help you find personalized AI tool recommendations.

Is it safe to share financial information with AI tools?
Only use services your business has reviewed and approved. Check how each provider stores and uses data, limit access to what the task requires, and avoid sharing confidential details with public AI tools.