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AI automation for everyday business work
Take the repetitive work off your team: reading documents, sorting emails, preparing reports and checking data. Practical automation with AI, private by design and measured by the time it saves.
Where AI automation pays off
- Document processingExtract data from invoices, orders, delivery notes and contracts into your ERP or database, with validation.
- Email & ticket triageClassify, summarize and route incoming messages; draft replies for a human to approve.
- Reports & summariesDaily or weekly reports assembled from databases, logs and spreadsheets, written in plain language.
- Data quality checksSpot anomalies, duplicates and missing values before they cause problems downstream.
- IT operationsLog analysis, alert summaries and runbook assistants for your servers and applications.
- Knowledge assistantsAnswers from your own manuals and documents, with references, for staff or customers.
Private by design
Automation often touches personal and confidential data. Where that matters we use local, on-premise models running on your hardware; where a cloud model is acceptable we use it with data minimization and clear contracts. Either way, every action is logged, permissions are minimal, and a human approves anything important.
How we work
- Find the task: one process where people lose hours every week, with a clear measure of success.
- Prototype in days: a working automation on real (or anonymized) data that you can try.
- Measure: accuracy, time saved and cost, compared with the manual process.
- Productionize: integration, monitoring, error handling and documentation, so it keeps working.
Frequently asked questions
Do we need our own GPU servers for AI automation?
Not always. Many automations run fine with smaller local models on modest hardware, or with a cloud model when the data allows. We pick the cheapest option that meets your privacy needs.
What if the AI makes a mistake?
We design for it: validation rules, confidence thresholds, and human approval for anything consequential. Every step is logged so errors are visible and fixable.
How quickly can we see results?
A first working prototype usually takes days to a couple of weeks, depending on access to data and systems.