AI implementation

A roadmap that never reaches production has no value. We play an advsiory role across the full implementation jounrey, from strategic to operational.

We set up the operating model — who decides, who maintains, who answers when it goes wrong — and work in short cycles with weekly sparring. Every cycle produces something you can judge, rather than a status report.

We guide each use case from idea to production-deployment. Our team has multi-year experience in implementing AI use cases utilizing no-code (e.g., Claude), low-code (e.g., Microsoft CoPilot Studio), and high-code (e.g. Microsoft AI Foundry) solutions.

Where you work with vendors, we test their claims and their contracts. Vendor lock-in and unclear data processing are the two blockers that prove most expensive after the fact, and both can be headed off in advance.