AI in Financial Services: What Works
Erwin Berkouwer
What does AI deliver for financial services providers in SMB? Accounts receivable management, document processing and advisory support — with ROI figures and EU AI Act guidance.
Financial teams spend hours each day on work that's automatable: processing invoices, following up on accounts receivable, compiling reports and updating customer files. AI in financial services helps SMB businesses automate this type of task — work more efficiently, without immediately needing extra staff. This article shows what concretely works, what it costs and when it's the right step for your organization.
What Changes AI in Financial Services?
The financial sector has traditionally had many processes that run on rules: checking documents, entering data, generating reports. Precisely the work where AI excels.
In the Netherlands, AI in financial services is already being deployed at:
- Banks – Know Your Customer (KYC), fraud detection, customer acceptance
- Insurers – automated claim assessment, policy renewal, ESG reporting
- Accounting Firms – bank statement processing, VAT returns, financial statements
- Financial Advisors – generating client reports, flagging balance trends
CBS figures show that 22.7% of Dutch companies with ten or more employees already use AI — a rise of nearly nine percentage points in two years. In financial services, that's 19%. That sounds low, but it means: whoever starts now runs ahead of the competition.
Three Applications That Work for Financial SMB
1. Automating Accounts Receivable Management
67% of SMEs lose revenue from late-paid invoices — averaging €20,000 per year. An AI agent monitors your outstanding invoices, automatically sends reminders at the right time and alerts you when cashflow is getting critical.
Customers who automate their accounts receivable management pay up to 20% faster.
For an accounting firm that does this for customers, it means less manual follow-up, fewer missed payments and higher customer satisfaction.
2. Document Processing and Reporting
Loading bank statements, coding invoices, compiling financial statements: tasks that take hours weekly. AI integrations with software like Exact Online or AFAS let documents be automatically read, fields recognized and entries prepared.
The result: financial SMB teams report an average of 30–50% time savings on administrative tasks after implementation. With larger volumes, that quickly amounts to one to two full-time equivalents.
3. Supporting Customer Advice With Data
An insurance agent or financial planner can use AI to summarize client files, prepare advice meetings or automatically generate an advice report based on client data. The employee focuses on the conversation; AI does the prep work.
Also check out the practical case studies for concrete examples from comparable SMB environments.
What Does It Concretely Deliver to Your Business?
| Application | Time Savings | Financial Benefit |
|---|---|---|
| Accounts Receivable Management | 3–5 hours/week | €15,000–€25,000/year in less writeoff |
| Document Processing | 30–50% less manual work | 1–2 FTE equivalent |
| Report Generation | 2–4 hours per report | Scalable without extra staff |
The most direct ROI lies in processes where repetition and error sensitivity go hand in hand. Start there.
When Is AI Relevant for Your Financial Organization?
Good timing to start if:
- Your team regularly performs the same actions (invoices, reports, follow-up emails)
- Customers expect faster or more personalized service
- You want to grow without proportionally hiring more staff
Not the right time yet if:
- Your data isn't in order — AI is only as good as the input it receives
- You don't have a clear, repeatable process for AI to connect with
- Your sector has strict compliance requirements that limit AI use
Note: The EU AI Act
Financial services providers fall partially under the "high-risk" category of the EU AI Act. Applications in customer acceptance, creditworthiness or risk scoring require documentation, explainability and human oversight. For internal process automation, stricter rules typically don't apply — but it's a point many vendors skip. Get proper guidance on this before implementing.
Frequently Asked Questions
Which AI Applications Deliver the Fastest Results in Financial Services?
Accounts receivable management, document processing and generating customer reports deliver the fastest ROI. They're well-defined, contain lots of repetition and currently cost significant manual hours. That makes them ideal starting points for AI implementation.
What Does It Cost to Implement AI as a Financial Services Provider?
A focused implementation for one process typically costs between €5,000 and €20,000, depending on complexity and the systems you already have. Accounts receivable management often pays for itself in less than six months.
Is AI in My Sector Allowed Under the EU AI Act?
Yes, but with nuances. Internal process automation (processing documents, generating reports) typically falls outside strict categories. Applications that directly influence customer decisions — like creditworthiness or acceptance — fall under high-risk rules and require additional measures.
Do I Need an IT Department to Start With AI?
Not necessarily. Many AI solutions for financial processes connect directly to existing software like Exact Online, AFAS or Moneybird. An implementation partner can help you design the process without needing in-house IT expertise.
What If My Administration Isn't Fully Up to Standard?
Then that's the first thing you tackle. AI performs best on structured, consistent data. A quick audit of your data streams quickly shows what can already be automated.
Start With the Process That Costs You the Most Time
Financial services providers waiting now risk falling behind competitors already working more efficiently. You don't need to automate everything at once — one good process is enough to make a difference.
Discover what AI agents can do for your financial processes, review our integrations with Exact, AFAS and other software or read how comparable SMBs have implemented AI in our case studies.
Contact us for a free 30-minute intake — together we'll look at which processes are first candidates.
