30%+
faster answers to customer questions
Fortum, support assistant
An assistant that finds the right clause across contracts and policies, inside Fortum's own environment.
AI that saves your team real time, not another pilot
Reading and classifying documents, handling requests, answering routine questions, agents that run whole processes. We find where AI pays off first, test it on your own data, then build it into your systems and keep it running.
- First step
- AI discovery sprint
- Timeline
- 2 weeks
- What you get
- A clear yes or no, with a plan
What we build for teams
Document processing.
Invoices, delivery notes, contracts, CVs, forms: read, checked and entered where they belong, with a person reviewing anything uncertain.
Assistants that know your company.
Answers from your own policies, contracts and knowledge base, with the source shown every time.
Workflow automation.
The steps between your CRM, ERP, inbox and spreadsheets, done automatically and logged.
Agents for back-office work.
Agents that prepare, check and report, with a person approving anything that matters. The same way we run our own company.
AI in the tools you already use.
Features added to your existing systems instead of yet another app for your team to learn.
Taking over tools your team built.
Internal tools someone built with AI that the business now depends on, made safe, backed up and owned.
Start with an AI discovery sprint
Two weeks that end in a clear decision, not a slide deck.
You leave with test results on your own data, the value in your own numbers, the risks and data boundaries, a plan and a fixed estimate.
Pick the process.
Together we choose the one process where AI could save the most time or money, and agree how to measure it.
Test on your data.
We try AI on real examples from your company, in a safe environment, and measure how often it gets it right.
Count the value.
Time saved, errors avoided, money saved or earned, in your own numbers.
Decide.
You get a plan, a fixed estimate for building it, and an honest recommendation, including "don't build this" when that's the answer.
Then we build it and keep it running
The build runs in fixed milestones you can test as they arrive. Once it's live, hosting and care keeps it monitored, backed up and improving, on our EU infrastructure or in your own environment. If your data can't leave your company, we can run models privately.
AI already working inside companies
24+
EU languages, with labels printed straight on the packing line
ValidLabels, chemical safety labels
Label translation that used to be slow manual work, built as software and run in production. ValidLabels is our own product.
Questions people ask us
Do we need clean data first?
No. Part of the sprint is finding out what your data can support today. Most companies have more usable data than they think.
Can it run on our infrastructure, or with a private model?
Yes. We run systems in the EU on our infrastructure, in your cloud account, or on privately hosted models when data must not leave your company.
What about personal data and GDPR?
We map what data the system touches before we build, keep it in the EU, sign a DPA, and design human review in where decisions affect people.
How do you measure success?
With the numbers agreed in the sprint: hours saved, errors avoided, response times, or money. Measured before and after.
What if AI isn't worth it for our process?
Then the sprint tells you so, and you've spent two weeks instead of a year.
We already have tools our team built with AI. Can you take them over?
Yes. We review them, fix what's risky, and run them with backups, monitoring and one accountable owner.