Back to Insights
accountancy

AI for accountancy: 8 applications that work now

7 min lezen
AI for accountancy: 8 applications that work now — practical AI guide for SMEs

Discover 8 proven AI applications for accounting firms and bookkeeping firms in SMBs. From invoice processing to cashflow forecasts, including time savings per task.

AI can help accounting firms and financial advisors with tasks that still consume a lot of time manually: invoice processing, VAT returns, fraud detection and annual account checks. In this article you'll read which 8 applications work now for SMBs, how much time you save per week and how you seamlessly integrate with Exact Online or AFAS.

Why accountancy is so suitable for AI

Accountancy revolves largely around repetitive, rule-based tasks. Processing invoices, calculating VAT amounts, performing controls on numbers are actions with fixed patterns and clear rules. Exactly what AI does best.

That doesn't mean the accountant disappears. On the contrary: your team is freed from routine work and has more time for client advice, strategic planning and the more complex issues where your expertise really makes a difference. AI takes over the repetitive work; the accountant maintains oversight.

An additional benefit: AI makes no typing errors, doesn't get tired on Friday afternoon and processes a stack of a hundred invoices just as quickly as one. The quality of your output becomes more consistent, while turnaround times drop dramatically.

8 concrete applications that work now

1. Invoice processing

AI automatically reads incoming invoices: vendor, amount, VAT code, due date, and books them directly in your accounting system. No more manual retyping, no lost invoices in an email inbox.

Time savings: average 3-4 hours per week per employee.

2. VAT return

Based on posted transactions, AI drafts a draft VAT return, with automatic flagging of discrepancies or doubtful cases for your review. The accountant approves; AI does the prep work.

Time savings: 1-2 hours per return period.

3. Financial reports

AI automatically generates weekly or monthly management reports from your accounting data, including charts, KPI comparisons and variance flagging. You send a professional report in minutes instead of hours.

Time savings: 2-3 hours per report.

4. Fraud detection

AI detects suspicious patterns in transactions that a human easily overlooks: duplicate payments, unusual amounts, unusual vendors or unusual timing. Early detection prevents greater damage.

Value: proactive risk management, fewer financial surprises.

5. Client communication

AI assistants answer routine client questions outside office hours, or draft template emails that you send with one click. Think of questions about the status of a return, outstanding invoices or VAT due dates.

Time savings: 1-2 hours per week.

6. Document extraction

Contracts, annual accounts, subsidy applications: AI reads and summarizes, extracts relevant data and stores it structured for further processing. No more manually sifting through pdf files.

Time savings: 30-60 minutes per document.

7. Annual accounts checks

AI checks annual accounts for consistency: do the figures match previous years? Are there deviations from sector averages? Are all required items present? You get a list of focus areas before you start reviewing yourself.

Time savings: 2-4 hours per annual account.

8. Cashflow forecasts

Based on historical data and outstanding invoices, AI creates a cashflow forecast for the next 4 to 13 weeks, automatically updated as soon as new transactions arrive.

Value: better liquidity planning, fewer financial surprises for your clients.

Coupling with Exact Online and AFAS

Most SMB accounting firms work with Exact Online or AFAS. Good news: both systems offer extensive APIs through which AI tools can integrate directly.

That means the eight applications above don't sit next to your existing workflow, but are built into it. Invoices that AI processes go directly into your Exact Online or AFAS accounting. Reports are generated from data already in your system. You don't have to export or copy manually.

Unify AI integrates standard with Exact Online and AFAS, making implementation faster and keeping your existing processes intact. You add AI to what you already have.

GDPR considerations for AI in accountancy

Accounting firms work with sensitive client data: revenue figures, salary administration, tax information. That makes GDPR compliance not optional. When implementing AI, there are four points you always need to check:

  • Processing within the EU: ensure that AI tools do not store or process your data outside the EU, unless you have written agreements about it.
  • Data processor agreement: for every AI tool that has access to client data you need a data processor agreement. This is legally required.
  • No training on your data: some AI tools use your input to further train their models. Use tools that explicitly exclude this.
  • Access control: determine who in your firm has access to which client data via the AI tool, and document it.

A good AI implementation always starts with a brief GDPR check, so you know what is allowed and what is not, and can inform your clients with peace of mind.

What does it deliver: time savings per week

ApplicationTime savings
Invoice processing3-4 hours per week
VAT return1-2 hours per period
Financial reports2-3 hours per report
Client communication1-2 hours per week
Document extraction1-2 hours per week
Annual accounts checks2-4 hours per annual account
Cashflow forecasts1 hour per week
Total11-18 hours per week

For a team of three employees, this can amount to the equivalent of one extra working day per week, reclaimed from routine tasks. You invest that time in client meetings, consulting projects and work that really distinguishes you as a firm.

How to start: the AI scan for accounting firms

You don't have to automate everything at once. Most accounting firms start with one process like invoice processing or reporting and then gradually expand.

An AI scan helps you to:

  1. Map which processes currently take the most time
  2. Determine where AI delivers the fastest and greatest return
  3. Check whether your current software already offers AI functionality you haven't yet used
  4. Draw up a realistic implementation plan: what do you do in week 1, what in month 3?

At Unify AI, we conduct this scan for accounting firms and financial advisors. In a 45-minute conversation you get a concrete picture of the possibilities for your firm, without obligation.

Frequently asked questions

Does AI replace the accountant?

No. AI takes over repetitive tasks, but interpretation, client advice and final responsibility remain with the accountant. Your role shifts from executor to advisor, which most accountants experience as an improvement.

Is AI in accountancy safe with client data?

That depends on the tool you choose. Only use tools that offer a data processor agreement, process data within the EU and do not use your input as training data. Always check this before putting a tool into production.

How long does it take to implement AI?

A first application like automated invoice processing can go live in 2 to 4 weeks. A more complete implementation of multiple processes typically takes 2 to 3 months.

Does my team need technical knowledge?

No. Modern AI tools for accountancy are designed for daily use without programming skills. Training your team typically takes one working day.

Does this also work for small firms?

Yes. Especially for small firms with 1 to 10 employees, time savings on routine work are valuable. The setup costs are low enough to quickly become cost-effective even for a solo firm or small office.

Recommended for you

Related articles

Keep reading: articles that best match this topic in terms of content.

AI in accountancy: 5 processes that pay for themselves in 3 months - Accountants waste an average of 12 hours per week on manual data entry. With AI, automate invoice processing, VAT returns, client inquiries, and receivables management — and recover your investment within 3 months.
21 mei 20266 min
AI in accountancy: 5 processes that pay for themselves in 3 months
Accountants waste an average of 12 hours per week on manual data entry. With AI, automate invoice processing, VAT returns, client inquiries, and receivables management — and recover your investment within 3 months.
Read more
Machine Learning for SMEs: 5 Applications That Actually Work (With Numbers) - SMEs that don't use machine learning overpay an average of €47,000 per year. Discover 5 proven ML applications with concrete ROI figures and implementation costs.
16 apr 20266 min
Machine Learning for SMEs: 5 Applications That Actually Work (With Numbers)
SMEs that don't use machine learning overpay an average of €47,000 per year. Discover 5 proven ML applications with concrete ROI figures and implementation costs.
Read more
NLP for Businesses: 20 Hours Less Text Work per Week - 40% of your workday goes to text processing. NLP automates this for SMBs and saves 20 hours per week — ready to deploy now.
10 apr 20269 min
NLP for Businesses: 20 Hours Less Text Work per Week
40% of your workday goes to text processing. NLP automates this for SMBs and saves 20 hours per week — ready to deploy now.
Read more
Calculate AI ROI: The Formula That Convinces Your CFO - Learn how to calculate AI ROI with a CFO-proof formula. Including 4-step approach, benchmarks and presentation format that unlocks investment budget.
1 apr 20266 min
Calculate AI ROI: The Formula That Convinces Your CFO
Learn how to calculate AI ROI with a CFO-proof formula. Including 4-step approach, benchmarks and presentation format that unlocks investment budget.
Read more
Your Accountant Hates This Part of Their Work (And You Pay for It) - Accountants spend 60–70% of their time on data entry. Discover how AI takes this over and saves you €15,000–€30,000 per year.
22 okt 20256 min
Your Accountant Hates This Part of Their Work (And You Pay for It)
Accountants spend 60–70% of their time on data entry. Discover how AI takes this over and saves you €15,000–€30,000 per year.
Read more

Next step

From insight to implementation

This article explains how it works — we help SMEs to actually build it and connect it to your software.

Discover your biggest automation opportunities