Email handling and classification
The system reads incoming messages, recognizes their type, extracts key data and routes them to the right person or process.
Automation · AI
We turn manual, repetitive tasks into automation: handling emails, documents, reports, CRM and internal systems. Where the work requires understanding content, we support the process with AI/LLM models.
Free, no strings attached. At the end you get a PDF report breaking down your project.
The problem
Copying data between systems, sorting emails by hand, pasting information into the CRM, stitching reports together in Excel — this is work that needs no decisions, only time. The more of it there is, the more errors and delays you get, and people end up operating tools instead of growing the business.
Who it's for
If you recognize any of these areas, they can probably be partly or fully automated.
Example processes
The system reads incoming messages, recognizes their type, extracts key data and routes them to the right person or process.
Data is no longer retyped by hand — systems exchange it automatically, without copy-paste and mistakes.
Data from several sources lands in one panel, and operational reports build themselves in a consistent format and on a schedule.
Records, statuses and notes fill in automatically from emails, forms and events in other systems.
AI reads documents and invoices, classifies them, extracts data and passes it on to accounting or a spreadsheet.
Based on the inquiry and your knowledge base, AI prepares a ready-to-review draft reply.
How implementation works
01
We write down what happens today step by step, where you lose time and what is easiest to automate first.
02
We pick tools and integrations and decide where an AI model is needed and where a classic rule is enough.
03
We launch the first process, check the result on real data and improve it before adding the next one.
04
We keep things stable, measure the time saved and gradually extend automation to new areas.
Technologies
Risks and limitations
Automating a mess gives you a faster mess. We tidy up the process first, then automate it.
An automation is only as good as its input. Where needed, we add validation and a human review step.
Models can be wrong. In critical spots we use verification, sources and an approval step before anything is sent.
FAQ
Most often: handling and classifying emails, reading and analyzing documents, moving data between systems, generating reports, updating the CRM and drafting replies. AI works best where a task is repetitive but still requires understanding the content.
Not always. We often start by integrating existing tools (APIs, spreadsheets, CRM, internal systems) and automating the data flow. We build a new app only when it genuinely pays off.
A first working improvement usually ships within a few weeks. We work iteratively — first one process that delivers a quick win, then the next. You'll see the real scope and effort in the preliminary estimate.
Cost depends on the number of processes, integrations and complexity. You can describe your process in our estimation tool and get a preliminary breakdown into modules, effort and risks in a few minutes.
Next step
Describe your process in a few steps and get a preliminary breakdown into modules, effort and risks. Then we can go through the report together.