Sector · financial services
AI in financial services: less document work, more time for advice
For bookkeeping firms, accountants, financial advisors and investment and financing advisors. AI extracts data from invoices and documents, prepares client files, runs through your own checklists and writes a first draft of reports. The advisor reviews and decides. Data stays in the EU.
- 40% faster document processing
- 12 hours a week less invoice work
- The advisor decides
- InDocuments come ininvoices, statements, client documents
- AIAI reads and organizesamounts, parties, what's missing
- AIChecklist run throughagainst your own control points
- HumanThe advisor reviewsand decides what happens
- DoneReady in the software or the client file
40% faster document processing at a financial advisory firm
Worked with us
What it delivered, in figures from cases.
- faster document processingFinancial advisory firm client case
- 40%
- accuracy in compliance checks, reviewed by an advisorFinancial advisory firm client case
- 95%
- a week saved on invoice processingClient case (anonymous)
- 12 h
- investors AI matches every pitch deck againstKplusV client case
- 700+
01 / What it is
What does AI do in financial services?
In financial services, AI takes over the document work: extracting data from invoices and receipts, organizing client documents, completing client files, running through checklists and writing a first draft of reports and explanatory notes. The advisor or accountant reviews, decides and signs. AI delivers groundwork, not judgement.
That distinction matters even more in this sector. You work with confidential data, under supervision and with rules that differ per profession. That's why we don't build anything that decides on its own about a client, a loan or a piece of advice. We do build everything that makes the work leading up to it faster.
And there's a lot there. At a financial advisory firm, document processing became 40 percent faster, and the automated compliance checks reach 95 percent accuracy, with an advisor who reviews. At another client, invoice processing alone saves 12 hours a week.
01Invoices and receipts
Extracted, matched and ready to book. Deviations set apart.
02Documents and client files
Client documents organized and summarized, with what's still missing.
03Checklists and compliance
Every client file against your own control points. The advisor reviews.
04Reports
A first draft of the explanatory notes or report. The professional finishes it.
02 / Sound familiar?
The office in the busy weeks.
Everyone in financial services knows the peak. And during that peak, most of the time doesn't go to advice, but to paperwork.
The shoebox
“Receipts, invoices and statements in one email with thirty attachments. Or actually in a box.”
The wrong one again
“The client sends the statement for the wrong quarter. For the third time.”
The client file
“Before every client meeting, we spend half a day gathering the documents.”
The checklist
“Forty control points, every file all over again. After the thirtieth file, you're no longer reading as sharply.”
The pitch deck
“Reading sixty slides to decide whether it fits. And then finding an investor as well.”
Ask Henk
“How did we explain this for this client last year? Henk knows. Henk is fully booked until April.”
03 / Applications
Six applications of AI for bookkeeping firms, accountants and advisors.
For each application: which systems we connect to, who approves and what it delivers. The figures come from cases; where we don't have a measured figure, we describe what changes. What it delivers for you, we calculate in the AI Quick Scan.
12 h/wk
Client case · Anonymous
Processing invoices and receipts
AI takes invoices from the inbox, reads the supplier, amounts, VAT and references, matches them and prepares them for booking. Anything that deviates is set apart.
- Systems: inbox, Exact, AFAS, SAP or Microsoft Dynamics
- Who approves: the bookkeeper, always for deviations
- Delivers: 12 hours a week saved on invoice processing
40%
Client case · Financial advisory firm
Reading documents and client files
Client documents are read, organized and summarized in the client file, with a list of what's still missing and a draft email asking the client for it.
- Systems: inbox or client portal, document management, Microsoft 365
- Who approves: the advisor or case handler
- Delivers: 40% faster document processing at a financial advisory firm
95%
Client case · Financial advisory firm
Preparing compliance checks
Every client file against your own checklist: what's there, what's missing, what deviates. With a reference to the document where it's found. AI flags, the advisor judges.
- Systems: client file, document management, your checklist
- Who approves: the advisor or compliance officer
- Delivers: 95% accuracy in compliance checks, with an advisor who reviews
700+
Client case · KplusV
Assessing against your own canvas
AI reads a complete pitch deck, assesses it against KplusV's own canvas and finds matching investors in a database of more than 700. The consultant always checks.
- Systems: KplusV's platform with the investor database
- Who approves: the consultant, for every deck
- Delivers: every deck assessed the same way and matched against 700+ investors
Reports
Reports and explanatory notes
A first draft of the explanatory notes, the periodic report or the advisory report, in your format and based on the figures and earlier reports. The professional finishes it and signs.
- Systems: accounting software, reporting tool, archive of earlier reports
- Who approves: the accountant or advisor
- Delivers: nobody starts from a blank page any more
Knowledge
Answering questions from the client file
An assistant that answers colleagues' questions from the client file, earlier advice and internal procedures. With the source attached, and only what the user is allowed to see.
- Systems: document management, Microsoft 365, your knowledge base
- Who approves: the advisor who uses the answer
- Delivers: less 'just ask Henk', even in the busy weeks
04 / Rules and compliance
Is AI allowed in a financial organization?
Yes, if you set it up properly. But exactly which requirements apply to you differs per organization, per licence and per application. That's why we don't make statements about what the law requires of you. We agree those requirements per organization with your own compliance officer or lawyer, before we build.
What we do is build it so that this conversation is easy. Decisions about clients, such as advice, acceptance or credit, stay with a human. Every AI step is logged, so you can show what happened and who looked at it. The data stays in the EU, on your own infrastructure or with a European provider, and AI only sees what it needs for a task.
Want to read up? Start with the EU AI Act for SMEs and ChatGPT and the GDPR. Both are explanations in plain language, not legal advice.
01A human decides
A human always decides about a client, advice or credit. AI delivers groundwork.
02Everything logged
What AI read, what it proposed and who approved it. Easy to trace back.
03Data in the EU
On your own infrastructure or with a European provider. Azure OpenAI is an option.
04Agreed in advance
With your compliance officer or lawyer, before anything is built.
05 / Before and after
A week at the office, before and after.
Six jobs that come back every week. Where there's a measured client result, it's included; for the others we describe what changes.
- Client case: 12 hours a week
Booking invoices
Before
Opening every invoice, retyping it into the software, matching it with the order.
With AI
Extracted and matched, ready to book. The bookkeeper approves, deviations are set apart.
- Advisory firm: 40% faster document processing
The client's documents
Before
Opening thirty attachments, renaming them, putting them in the client file and working out what's missing.
With AI
Organized and summarized in the client file, with a draft email for what's still missing.
- 95% accuracy
The compliance check
Before
Forty points per file, by hand, and less sharp after the thirtieth file.
With AI
Every file against the same checklist, with a reference to the document. The advisor reviews the outcome.
- KplusV: 700+ investors
A pitch deck
Before
Reading sixty slides, assessing them and finding an investor from memory.
With AI
Assessed against the firm's own canvas and matched against 700+ investors. The consultant checks.
The explanatory notes
Before
Adapting last year's text and hoping everything is still correct.
With AI
A first draft from the figures and last year's notes, with the differences highlighted. The accountant finishes it.
A colleague's question
Before
Walking around asking whether anyone has seen this before.
With AI
An answer from the client file and earlier advice, with the source attached.
06 / By profession
Where does AI start at a bookkeeping firm, accountant or advisor?
Financial services is a broad field, but the pattern is the same everywhere: lots of documents, lots of checks, knowledge in a few heads. What differs per profession is where AI delivers something first. Who decides doesn't change.
| Where AI can start | Who decides | |
|---|---|---|
| Bookkeeping firm | Processing invoices, receipts and statements, requesting missing documents | The bookkeeper or client manager |
| Accountancy firm | Organizing documents, preparing explanatory notes, client files in order | The accountant |
| Financial advisory firm | Document processing and preparing compliance checks | The advisor |
| Mortgage and insurance advice | Completing client files, reports of advisory meetings | The advisor |
| Investment and financing advice | Assessing pitch decks and plans against your own canvas, as at KplusV | The consultant |
| A company's finance department | Accounts payable, accounts receivable and monthly reports | The controller |
Do you work in a company's finance department rather than at a service provider? Then take a look at AI by department.
07 / Cases
What it delivers, in and around financial services.
A financial advisory firm that sped up document processing and compliance checks, and an advisory firm that assesses pitch decks against its own canvas. In both, a human reviews.
08 / The baseline
Where does your organization stand with AI?
In the AI Quick Scan, we measure AI maturity on seven dimensions: strategy, data, technology, people, processes, governance and culture. In financial services, governance carries a lot of weight: who decides, who checks and what gets recorded? Below is an example, not a client figure.
Profile · now vs. target
2.7
now
4.1
target after 12 months
Biggest jumpData readiness (2 to 4)
What we measure, on a scale of 1 to 5
Strategy and Vision+1 jump
How clear and shared is the AI vision at board level? Is the strategy written down and who holds the mandate?
now 3, target 4.Data readiness+2 jump
Is data centrally available, structured and accessible for automation and AI?
now 2, target 4.Technology and Infrastructure+1 jump
Which tools, cloud platforms and integrations are in place? How easily do you connect new systems?
now 3, target 4.People and Skills+2 jump
Does the team know AI tools, prompting and automation? Is there capacity and willingness to learn?
now 2, target 4.Processes and Adoption+1 jump
Are processes clearly described and actively optimised? How did earlier change programmes go?
now 3, target 4.Governance and Risk+2 jump
Is there policy for AI use, data ethics, privacy and security? How is risk weighed against speed?
now 2, target 4.Culture and Change+1 jump
How does the organisation deal with change? Is there room to experiment, fail and learn?
now 4, target 5.
09 / How to approach it
From first conversation to a client file that's ready.
We build within the AI Partnership. You start with the € 6,000 AI Quick Scan: one day at your office, and within a week a business case per opportunity.
- 01
Intro call
Fifteen minutes
Where is most of your document work: invoices, client files, checklists or reports?
- 02
AI Quick Scan
One day plus a week
Observing bookkeepers, advisors and the back office. A baseline on seven dimensions, a business case per opportunity and a twelve-month roadmap.
- 03
Aligning with compliance
First weeks
Together with your compliance officer or lawyer: which data, which application, which logging and who decides.
- 04
First process live
Quarter 1
Usually invoices or document processing. A human approves everything, and every month you see what it delivers.
- 05
Expand
After that
Checklists, reports, knowledge. Process by process, within the package that fits.
10 / Questions
Frequently asked questions about AI in financial services.
What can AI do in financial services?
AI can extract data from invoices and receipts and prepare them for booking, organize and summarize client documents, run client files against your own checklist, write a first draft of reports and explanatory notes and answer questions from the client file. The advisor or accountant reviews and decides. At a financial advisory firm, this made document processing 40 percent faster.
Can AI help a bookkeeping firm?
Yes, especially with processing invoices, receipts and statements, requesting missing documents and answering recurring client questions. AI reads, matches and prepares in software such as Exact or AFAS; the bookkeeper approves. At one of our clients, invoice processing alone saves 12 hours a week.
Can AI do compliance checks?
AI can prepare compliance checks: running every client file against your own checklist, indicating what's missing or deviates and referring to the document where it's found. The judgement stays with the advisor or compliance officer. At a financial advisory firm, the automated checks reach 95 percent accuracy, with an advisor who reviews.
Which rules apply to AI in the financial sector?
That differs per organization, per licence and per application, and we don't make statements about it. We agree the requirements per organization with your own compliance officer or lawyer, before we build. For a first overview, you can read the EU AI Act for SMEs and ChatGPT and the GDPR. Those are explanations in plain language, not legal advice.
Does AI decide about clients, credit or advice?
No. We leave decisions about clients, such as advice, acceptance or credit, to a human. AI reads, organizes, checks and proposes; the advisor reviews and decides. Every step is logged, so you can show what AI did and who looked at it.
Is it safe with financial client data?
Data stays in the EU, on your own infrastructure or on servers with a European provider; Azure OpenAI is an option. AI only sees what the user is allowed to see, everything is logged and the data agreements are in place before we build. We work to ISO 27001 and NEN 7510 (certification in preparation).
Which systems do you connect to?
To what you already use: accounting and ERP software such as Exact, AFAS, SAP and Microsoft Dynamics, the inbox or client portal, document management and Microsoft 365 or Google Workspace. We usually build in n8n, with custom work where needed. The condition is API access or an export with the right permissions.
What does AI cost for a bookkeeping or accountancy firm?
You start with the € 6,000 AI Quick Scan. After that, the AI Partnership runs on package S (€ 4,500 per month, 30 hours), M (€ 7,500 per month, 50 hours) or L (€ 12,000 per month, 80 hours), for a minimum of twelve months. We only start if the partnership earns itself back at least twice in the first year. An example from our practice (anonymous): € 77,000 saved against € 28,000 in build costs, earned back in about 4.5 months. All amounts excluding VAT.
Further reading
- AI by departmentWhat AI takes over in finance and other teams, from invoices to reports.
- ChatGPT and the GDPRWhat is and isn't allowed with client data in a chatbot.
- The EU AI Act for SMEsWhat the law requires, in plain language. Not legal advice.
- The AI Quick ScanOne day on site, a business case per opportunity within a week.
- All sectorsAI in e-commerce, professional services, healthcare and more.
- Professional servicesIntake, reports and quotes at firms and agencies.
More time for advice, less for paperwork?
Book a fifteen-minute intro call. Together we'll look at where most of the document work is in your office, and what AI is allowed to do there.
01
Intro call
Fifteen minutes, no strings. Where does work get stuck and what do you want to achieve?
02
AI Quick Scan
One day on site. Within a week, a business case and a roadmap.
03
AI Partnership
A dedicated team that builds, trains and shows what it delivers every month.
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