Support more users with the same team.

Built-in helpdesk bots mostly surface help articles and deflect by search; they rarely resolve the ticket. Our agents read the conversation, reason over your docs and product behaviour, and take action or give a specific answer, then escalate cleanly when they should not. The measurable difference is resolution rate, not just deflection.

It answers only from your own documentation and product knowledge, not free-floating general knowledge, and it is tuned to say it is unsure and escalate rather than guess. You start in draft or supervised mode so the team sees its answers before customers do, and we track accuracy on real tickets before widening autonomy. Confidence thresholds and escalation rules are yours to set.

A first use case, usually ticket deflection or the internal product helpdesk, is typically live in 2 to 4 weeks. We connect it to your real helpdesk and docs, pilot on a slice of live volume, and prove the numbers before expanding. You see it working on your own data early.

Yes, we build on top of the tools you already use rather than asking you to switch. The agent works inside your helpdesk, chat and knowledge tools through their APIs, reads from your docs and product data, and routes to your existing escalation paths. If you have an unusual internal system, we can usually connect to it too.

Most teams start with one use case in the low thousands of euros to build, plus a monthly fee for hosting, model usage and tuning. Against the cost of additional support seats, slower releases or leaked trials, it pays back quickly. We scope the first project so the return is clear before you scale it across more workflows.

You own the prompts, workflows and integrations, and we document them so there is no lock-in. Data is processed on EU infrastructure under a data-processing agreement, scoped to only the systems each use case needs, and never used to train shared public models. You keep full control over retention and access.