AI automation
& intelligent agents
Connect your systems to the power of large language models. We build custom AI agents for support, sales and accounting — with tool-use, memory and GDPR-compliant hosting.
Models · agents · automation 
Where AI automation works.
Six areas where our AI agents are productively deployed today.
Support agents
Handle L1 tickets autonomously and escalate L2 to humans with full context.
Lead qualification
Auto-research, score and route incoming leads in your CRM.
Invoice & receipt processing
Extract, check and post invoices into accounting.
Research agents
Market, competitor and customer research with cited sources.
Email triage
Classify, answer or forward incoming emails — with the right tone.
Document workflows
Auto-classify and file contracts, quotes and reports.
From use case to productive agent.
Five steps to your first AI in production — typically 3–6 weeks.
Use-case workshop
Which workflow is worth AI? Where is data quality sufficient?
Data model & RAG
Build a knowledge base — connect Confluence, SharePoint, databases.
Agent design
Define tools, memory, escalation rules and guardrails.
Evaluation & pilot
Test with real queries and tune continuously.
Roll-out & monitoring
Production with cost tracking, quality monitoring and updates.
More on the topic.
Agentic AI, LLM workflows and AI in the SMB sector.
Agentic AI Workflows 2026
How autonomous AI agents redefine efficiency in mid-sized businesses.
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Agentic AI for SMEs
Why 2026 is the year of autonomous agents — and how SMEs benefit.
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AI Data Analysis in Business
LLMs as analysis tools — what works today and what does not yet.
Read moreReady for the future?
We check your processes and tell you where AI makes sense today — and where it doesn’t.