Operations and finance admin
Sort incoming documents, extract agreed fields, apply naming rules, place files in the right folder and send uncertain cases to review.
AI workflow automation · Netherlands
Automate repetitive work without creating another system to manage
Korpalis designs reliable AI workflows for Dutch businesses. We map the work as it happens today, automate the repeatable steps, keep people in the decisions that need judgment, and hand over a system your team can understand.
What we automate
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Business processes where the handoffs cost more than the work
The useful part is rarely “add AI.” It is getting information from the right source, checking it, moving it to the right system and making exceptions visible.
Requests and follow-up
Capture requests from forms or inboxes, enrich them with the information a team needs, route them by clear rules and track what still needs a response.
Reporting and content workflows
Collect figures from known sources, prepare a repeatable draft, flag missing inputs and leave approval with the person accountable for the final result.
Use cases
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See how a reliable workflow is put together
These transparent example builds show the information flow, checks, exceptions and handover we would discuss. The actual design depends on your tools and rules.
Invoice email processing
Move invoices from a shared mailbox into a consistent review and filing process without losing the awkward cases.
Explore invoice processing →Document routing
Classify incoming documents, apply business rules and send each item to the correct owner with an audit trail.
Explore document routing →Weekly reporting
Collect the same inputs every week, validate them and prepare a review-ready report while missing data stays visible.
Explore weekly reporting →Fit
Who this service is for
Korpalis works with business owners and small teams who know where time disappears but do not want to become automation maintainers. Local context matters: we work from Rotterdam and design for the tools, access controls and data-handling expectations of Dutch and European organisations.
- SMEs with recurring operational administration
- Teams coordinating work across email, forms, drives and line-of-business tools
- Virtual assistants and creators whose client delivery depends on consistent handoffs
- Product and operations leads who need a documented implementation
Outcomes
Define success before anything is built
During scoping we agree what should change and how it will be measured. That might be fewer manual touches, faster routing, fewer missing fields or less time spent assembling a report. We do not promise a generic saving before seeing the process.
The baseline, expected volume, acceptable error rate and owner of each exception become part of the brief. After launch, the team can compare the workflow with that baseline instead of relying on a polished demo.
Delivery
From current process to documented handover
01 Scope the real work
We trace inputs, decisions, systems, volume and exceptions. You receive a plain recommendation on what to automate, what to leave manual and what access the build would need.
02 Build and test
The workflow is tested against representative cases, including missing data, duplicates, API failures and unexpected formats. Approval points are added where consequences justify them.
03 Hand over and observe
You receive documentation, ownership in your accounts where possible, a manual fallback and a walkthrough. We agree an observation period before deciding whether ongoing support is useful.
Safeguards
Failures should become visible, not quietly expensive
No integration is available every minute and no extraction model understands every document. A production workflow needs more than a happy path.
- Least-privilege accounts and scoped credentials
- Validation before information is written to a system of record
- Duplicate detection and idempotent processing where the tools allow it
- Queues, alerts and named owners for exceptions
- Logs that help a person understand what happened
- A documented manual path when the workflow is unavailable
Data and GDPR
Use only the data the workflow actually needs
Scoping records which personal or confidential data enters the process, which providers receive it, where it is stored and when it can be removed. If an AI model is unnecessary for a step, ordinary rules are often simpler and easier to audit.
Korpalis can help translate technical choices into a reviewable data flow. That supports your assessment; it does not replace your organisation’s legal responsibility or specialist legal advice.
Questions
AI workflow automation FAQ
Which business processes are worth automating?
Good candidates are repeated, rules-based processes with clear inputs and outcomes. We start with the current workflow and keep judgment-heavy or exceptional work with a person.
Do we need to replace our current software?
Usually not. We prefer to connect tools you already use where their APIs, permissions and reliability make that sensible. If a tool cannot support a dependable integration, we explain the tradeoff before building.
What happens when an automation fails?
Expected failure paths are designed before launch. Depending on the process, that can include validation, retries, a review queue, alerts and a documented manual fallback.
Can Korpalis help with GDPR-sensitive workflows?
Yes. Scoping covers what data is needed, where it moves, who can access it and how long it should be retained. Legal compliance remains your responsibility and specialist advice may still be needed.
Start with the process
Describe where the work begins, ends and gets stuck
Share the tools involved, how often the process runs and which exceptions cause the most effort. We will respond within two working days with the useful next questions.