Cost savings through AI automations.

At many companies, a large share of working time goes into tasks that repeat: typing in data, copying between systems, writing replies that have already been written before. That is exactly where AI automations start.

Our agents automate this repeating work inside the apps the company already runs. What used to cost hours every week now runs in the background while employees focus on their actual work. Less manual work means lower cost per task, without cutting a position or replacing an existing system. The saving comes from the processes already in place, not from a separate project that would still need to be introduced.

Using these automations gets that time back and lowers the cost per task without hurting quality. That is exactly where the competitive advantage lies: reacting faster, with less effort per order, at the same quality, day after day in daily operation.

Frequently Asked Questions

What do the first two weeks actually look like?
A recording week, one consolidation, one workshop, and then a decision you are still free to walk away from. Nothing is bought, installed or migrated in that window, which is the whole reason the phase is safe to stop. The recording is done by the people who perform the tasks rather than by an analyst watching them, so the week costs attention rather than calendar days. The Value Discovery & KPI Mapping page carries the per-person time, the scoring workbook and the nine-question path behind every route decision.
Do we have to replace the systems we already run?
No, and the reason is commercial before it is technical: work that only pays off after a migration cannot start this quarter, and a proposal that cannot start is not one we make. The apps you already run keep running unchanged, under the licences and the administrators they already have, and the agent is the side that adapts. Where a task genuinely has no answer short of a replacement, the Value Discovery & KPI Mapping page sets out what happens to it.
What does this cost to run, and how do we know before the invoice?
Two lines, both readable in advance. Hosting is a fixed monthly server price rather than a consumption bill. Model usage is the variable part: each use case pins an approved model, every call is logged with its token cost, and those figures are read from the running systems into a control centre of your own. That control centre ships with the first integration rather than after a pilot, because otherwise the first surprise arrives before the evidence does.
Where does our data live, and what about DSGVO?
The DSGVO and EU AI Act position is settled before AI reaches company data, not afterwards. Microsoft 365 content stays in the tenant that already holds it, under its own identity, retention and residency policy. Applications run as containers in German and Finnish data centres, with database access scoped so each tenant reaches only its own data. The review names the data-privacy conditions per connected service and settles which licence tier each one runs under, because that tier, not the product page, sets what may be done with company content.

What We Can Build For You

Systems already running for other businesses, ported to yours