Picture this: It's late 2026. Your engineering team has a good practice in AI-assisted coding that writes clean, tested code in minutes. Your product team has AI that drafts comprehensive PRDs from a few bullet points. Your design team has AI that generates polished prototypes in no time. PRDs come in hot. Features go out almost as quickly. Your velocity metrics are up 300%. And yet. Teams are frustrated. The backlog is overflowing with conflicting priorities. Nobody's quite

By digging into a complex business problem and implementing a robust testing framework, we were able to help Henry Schein One, developer of dental practice software, save hours of manual work each week. About Henry Schein One Henry Schein One is a global leader in dental practice management software. Their suite of software covers all parts of the staff and patient experience. The Challenge Henry Schein One has a data sync process as part of one of their practice management a

Why the teams shipping production AI fastest are the ones obsessed with the basics Everyone's talking about AI. Not everyone's getting value. We've seen the pattern repeat: impressive demos that never reach production. Innovation theater that checks a board-mandated AI box. Black box systems that teams can't debug six months later. Unoptimized LLM calls burning $10K+/month without delivering proportional business value. The challenge isn't building with AI—it's knowing how to