AI implementation for companies in Romania

Have an AI pilot that never makes it past the demo? We help you take artificial intelligence to production, not just to a presentation. AI implementation, adoption, integration and automation, with people who have already done it at scale: AI adoption led for 2,000+ employees at Microsoft, AI/ML for Alexa at Amazon, and AI products live across 200,000+ documents. Companies are left with a working system, not a proof of concept.

From pilot to production

Most AI pilots fail not because of the technology, but because success was never defined at the start. We work with clear go/no-go criteria: a written success threshold, data quality, integration into the real flow, human oversight and monitoring. See also the guide on moving from pilot to production.

Adoption and change

Many companies buy AI licenses no one uses. AI adoption means turning the tools you already bought into real, day-to-day usage — as we did with Copilot adoption for 2,000+ engineers and employees at Microsoft, at 90% daily usage. See also the guide on AI tool adoption.

Automation with AI

We identify the repetitive, high-volume flows with clear rules — document processing, classification, data extraction, support — and move them onto AI where they produce results. We build AI agents and systems from idea to production, with code, not slides.

How we implement

• A use case chosen with discipline: a single project with a measurable result in 90 days.
• Cheap validation and build vs buy: what to build, buy or integrate.
• A pilot with go/no-go criteria written before the start.
• The move to production: integration, human oversight, monitoring.
• Adoption and automation at scale, in iterations, with governance and the EU AI Act in place.

Why AI Leaders

We are practitioners who took AI to production, not slide consultants. See all the AI experts on the team and our approach to AI consulting.

AI implementation FAQ

How long does AI implementation take?

For a well-chosen use case, the target is a measurable result in 90 days. Adoption at scale and automation continue in iterations.

How do I move from pilot to production?

With clear go/no-go criteria defined up front: a written success threshold, data quality, integration into the real flow, human oversight and monitoring.

Which processes can I automate with AI?

Repetitive, high-volume tasks with clear rules: document processing, classification, data extraction, support.