How we build AI agents you can trust
Four principles from two years of practice — from transparency to human handoff.
For support, sales, and ops teams across Europe
We build AI agents that handle the repetitive requests, so your team can do what you actually hired them for. Live in 1–2 weeks, GDPR-compliant from Austria.
Live in production.
For GPA — Austria's largest union for private-sector employees, with around 280,000 members — we built the GPAi Checker. An AI agent that answers members' questions on labor law, collective agreements, and union services around the clock. See for yourself how it feels, or read how we built it.
No 6-month project. No open-ended consulting contract. Tightly scoped — you always know what's happening and what it costs.
30-minute first call. You show us the requests that frustrate your team. We listen, ask questions, and tell you honestly if it's a fit.
We build your agent on your content and tools. You see weekly progress, give feedback, course-correct with us.
Embedded as widget or via API. We stay engaged: monthly reviews, continuous improvement. Cancel any time.
As long as repetitive requests eat human time, the cost is more than just money.
Senior people answer the same question for the 50th time, and quietly quit. Replacement cost: 6 months of salary per person.
18-hour response time is the SMB default today. Meanwhile your customers are checking the competition.
Doubling revenue today means doubling support headcount. Without scaling through tools, your cost line grows linearly with revenue.
Three outcomes we work towards together, and we're happy to be measured on the result.
Your senior people are advising again — instead of answering 'Where's my order?' for the 51st time.
<5s
No more 18-hour response times. Customers get help instantly, 24/7, even on Sunday at 11 pm.
Fast answers + clean handoff to a human when it matters — measurably better for your customers.
“We don't make promises we can't keep. When the agent goes live, we agree on KPIs, measure them, and report honestly, even when something doesn't work.”
Yours might be in there.
80% of standard inquiries handled without human help, with higher customer satisfaction.
View use case →First consultation 24/7, meeting directly in calendar, qualified leads in CRM.
View use case →Guide new customers step by step through setup, noquestion left unanswered.
View use case →
The bot answers GPA members' questions on labor law, collective agreements and union services. Behind the scenes: a multi-agent setup with RAG over the official GPA content, member auth via the existing identity system, and a hand-off to human advisors when cases get complex. The whole pipeline runs in the EU, with audit logs for every conversation.
Lessons from building agents in production. Engineering notes, not marketing posts.
Four principles from two years of practice — from transparency to human handoff.
Good sources aren't enough. Here's how to make your agent factually reliable.
Versioning, reviews, tests — prompts are critical business logic.
Free. No commitment. With concrete suggestions for your use case.