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We've connected systems via API for years – the AI layer is a natural continuation.
Access rights, encryption and an audit trail for every AI operation.
We work with private models and protected environments – nothing leaks to third parties.
Monitoring, limits and fallback scenarios – the integration works on busy days too.
We analyse your processes and find where AI saves the most time and money.
We build a working prototype on a real process of yours in weeks, not months.
We integrate the solution with the systems and data you already use.
Your team learns to work with the AI and to control its output.
We monitor quality, improve accuracy and grow the solution with your business.
We work with your systems – you don't have to replace your software to use AI.
We combine AI with years of custom software experience – agents built on a solid engineering foundation.
We measure the outcome – every rollout has clear metrics: hours saved, response time, conversions.
Almost always. We work with direct database access, file exchanges or robotic screen automation when an API is missing.
We choose based on the task and privacy requirements – from leading cloud models to private models running entirely in your infrastructure.
Least-privilege access, encryption in transit and at rest, an audit trail and contractual guarantees. If needed – a fully on-premise solution.
Simple integrations – days to 2-3 weeks. Complex ones with multiple systems and approvals – 1-2 months. We give a concrete timeline after the audit.
Yes – we monitor it, react to API changes in the connected systems and extend functionality on request.