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solutions for companies · office automation

Office automation without retyping data.

We automate the flow of documents, invoices, approvals and reports, and the data moving between your systems. AI goes only where content has to be read and understood.

what we automate

The whole process, from the incoming document to the finished report.

Each step of the process gets the cheapest tool that does it predictably: a rule, code, AI or a person.

  • Documents and e-mail

    Documents and messages land in the right place on their own: read, classified and attached to the right case instead of being retyped by hand.

  • Invoices and settlements

    Purchase and sales invoices, matching payments from bank statements, and settlements. Amounts are always computed by code, never by the model.

  • Approvals and workflow

    Requests, approvals and hand-overs between people follow clear rules, with deadlines and a record of who approved what.

  • Reports

    Reports that someone assembles by hand from several files today are generated automatically from the source data.

  • Data between systems

    Integrations move data between the company’s software without copying and retyping.

principle

AI only where it pays off.

Rules and code cost less than AI and always give the same result. So AI only gets the steps that rules cannot handle.

Rules first

Routing a document by sender, an approval deadline, an amount threshold, moving data to another program: steps like these are done by a rule or code.

AI reads and understands

AI gets documents in changing formats and content that has to be understood: invoices from different suppliers, letters and customer messages.

Code computes the amounts

Totals, settlements and payment matching are computed by deterministic code, not the model. The same data always gives the same result.

Exceptions go to a person

A low-confidence reading or a case outside the rules goes to someone on the team, together with what has already been read. Every decision leaves a record.

proof: our own products

How we automate office work in our own products.

Qkwit: accounting documents

Documents arrive by upload, e-⁠mail and bank statement import. AI reads, classifies and books them in the mode the client chooses: the automatic mode the client switches on, or approval with one click. A deterministic engine computes taxes, VAT and ZUS, and low-confidence cases go to a person.

Explore Qkwit

Brokik: rental settlements

Brokik settles rent and utilities with invoices, and property managers import bank statements instead of retyping them. A setup assistant drafts property and tenant records but saves nothing without approval.

Explore Brokik

how we work

From a process map to a system that runs every day.

  1. Process map

    We sit with the people who do the work and write the process down step by step: where documents come from, who checks them and where the data goes.

  2. A tool for each step

    We assign each step a rule, code, AI or a person, and pick one process to start with.

  3. The first process

    We automate it end to end on your documents and check how much manual work disappears before we add the next one.

  4. Operations and development

    We keep the automation running, adjust the rules when documents or regulations change, and add further processes.

Example: a purchase invoice arrives by e-⁠mail. A rule routes it to a department by sender, AI reads the line items and amounts, code checks the totals and matches the payment from the bank statement, and an invoice with a mismatched amount goes to someone in finance for review.

questions

Common questions about office automation.

Which office processes are worth automating first?

The ones that repeat often and follow clear rules: the purchase invoice flow, routing incoming mail, a weekly report built from the same files. We start with one such process and automate it end to end before adding the next.

Does office automation always need AI?

No. First we check whether a rule or code can do the step: routing a document by sender, approval deadlines, moving data between programs. AI comes in where a document in a changing format has to be read or a message has to be understood.

Who computes the amounts on invoices and in settlements?

Deterministic code, never the AI model. AI can read an amount from a document, but code computes and checks the totals, payment matching and settlements, so the same data always gives the same result. That is how Qkwit works: an engine computes taxes, VAT and ZUS, not the model.

What happens to a document the system cannot read with confidence?

It goes to someone on the team, together with what has already been read and what is missing. We design confidence thresholds and the exception queue from the start, and every decision leaves a record: who, when and on what basis.

Do we have to replace the software we use?

No. The automation takes data from the programs you already use and writes the result back where your team works. Replacing a system is a separate decision that automation does not force.

from the blog

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