AI integration & document processing
Invoices, contracts, reports, emails: in most organisations, knowledge is locked away in documents that people retype, check and pass along by hand. With AI document processing we take that work off their plate - securely embedded in your existing systems.
Open about our stack
Model-independent: Claude · GPT · open source - on your own infrastructure or in the EU cloud
Sound familiar? Every morning a stack of PDFs someone has to open, assess and copy into the system. Data gets entered twice, errors creep in, and the real work only starts once the retyping is done. Standalone AI tools rarely solve this: they know nothing about your processes and systems.
We take a different approach. As part of our AI implementation work, we integrate language models directly into your workflow: documents are read and structured automatically, while your people review and decide. Simple at the front, complexity solved behind the scenes.
- Automated processing of invoices, contracts and forms
- Data from documents straight into your own systems
- Classification and routing of incoming mail and email
- Decision support with verifiable, traceable answers
- Human-in-the-loop review at every critical step
Integrating AI into your business process - not next to it
The difference between an AI experiment and a working solution is integration. A separate chat window someone drags documents into delivers little; the work only changes when AI becomes part of the workflow itself. That is why we build document processing directly into your existing environment: a document comes in, gets read and structured, and the result appears where your team already works.
In practice, that looks like this: incoming invoices recognised automatically and queued for approval, contracts from which the relevant clauses are extracted and compared, or case files where data from dozens of separate documents comes together in a single overview. Always with the same principles: every result is traceable to the source document, and a human stays in control of what happens with it.
Document processing is often just the start. The same foundations - secure access to your data, measurable quality - also carry AI assistants and agents that carry out tasks autonomously. And because the results need to land in your systems, we also build the API integrations that connect everything reliably, where needed.
How we approach AI document processing
No months of upfront planning: we start small, measure what works and build from there.
1 session
AI QuickScan
We scan your document flows and processes and score the opportunities on value and effort. You leave with a prioritised, realistic roadmap.
week 1-2
Documents & quality criteria
We collect representative documents and agree measurably when a result is good enough. What you don’t measure, you can’t trust.
week 2-6
Pilot on real documents
The most promising document flow becomes a working pilot on your own documents, running alongside the existing process. Your team judges the results.
ongoing
Integration & production
What demonstrably works is connected to your systems and goes live in a controlled way. The same team monitors quality and keeps improving.
In practice
AI automationOwn product - Eenvoud × Helder bij Letselschade
Calculations that used to be specialist work in scattered documents are now transparent, uniform and reproducible per case file - available on the market as a product.
This is how we built Letselinzicht - a product by Eenvoud and Helder bij Letselschade - around exactly this principle: specialist calculations that used to be buried in separate documents are now transparent, uniform and reproducible per case file. Fourteen legal professionals were already using it daily before launch.
Frequently asked questions
What you want to know before you start.
What happens to our data and documents?
Your documents remain yours. We work model-independently and choose the safest route per situation: on your own infrastructure or in the EU cloud, with data processing agreements that fit the GDPR. Sensitive data is not used to train someone else’s models, and we agree upfront which data is processed where.
How do you prevent errors and hallucinations?
By never trusting AI blindly. Every result is traceable to the source document, we agree measurable quality criteria before anything goes live, and at critical steps a human reviews before anything happens. Edge cases are not guessed at - they are handed to your team.
Does this work with our existing systems?
Yes - that is precisely the point. We integrate document processing into the systems you already use, via existing APIs or with an integration we build ourselves. Your team doesn’t need yet another tool; the results appear where the work already happens.
What does AI document processing cost?
That depends on your document flows and systems, so we don’t quote a figure before we know them. We deliberately start small: an AI QuickScan of one session delivers a prioritised roadmap, and from there we work in small, budget-controlled steps. After the first conversation you get a concrete estimate.
Do we need AI expertise in-house?
No. You know your documents and processes; we bring the AI and integration expertise. During the project your team learns to work with the results and judge them - that’s all that’s needed. The technology underneath remains our job, also after go-live.
Not sure whether your document flows are a fit? Jasper Kums, partner at eenvoud, is happy to take a look with you - honest about what AI document processing does and doesn’t solve. Or start with an AI QuickScan.