AI solutions
AI that genuinely saves time and money. Not AI for the hype — every solution has a measurable goal and a purpose within your business process.
Where does AI actually pay off in a company?
AI pays off where a repetitive task has clear inputs and a verifiable output: document and invoice data extraction, answering internal questions from company knowledge, and analysing data for decisions. Each deployment needs a measurable goal and a human confirming the result — otherwise it's AI for the hype.
Where AI makes sense
Golden rule: AI where there are many repetitive inputs and we can judge whether the result is correct. Otherwise a human stays in charge.
Our AI solutions
| Solution | What it does | Typical impact |
|---|---|---|
| Document workflow | AI extracts data from invoices, contracts, orders and sorts them | −40% manual work, fewer errors |
| AI assistant | An internal assistant over your data and documents | Quick answers, fewer pointless emails |
| Analysis & prediction | Classification, anomalies, demand forecasts | Better decisions on time |
| Email processing | Sorting, routing, reply drafting | Faster responses to clients |
Measurable impact — example
A real case: deploying AI into document processing over 6 months. The processing time of a single document dropped from 8 minutes to just under 3.
8 → 2.9 minDocument processing time
−40%Manual work saved
6 monthsTime to deploy
How we start with AI
- Use-case identification — we pick a process with the most potential that can be validated.
- Data readiness — we make sure data is available and sufficient (often via automation and integrations).
- Proof of Concept — a small, measurable experiment, not a company-wide rollout.
- Deployment and measurement — once validated, we scale into operation with measurement points.
- Iteration — we fine-tune based on real data.
Responsibility and control
- Human in the loop — for critical decisions AI proposes, a human decides.
- Explainability — we can tell what the AI bases its result on.
- Data privacy — sensitive data is handled within agreed boundaries and encryption.