Devai helps software teams turn AI coding tools into real engineering results. Most companies are experimenting with AI, but adoption often stalls: leaders push top-down initiatives, teams use inconsistent tools and prompts, code quality varies, and developers lose time debugging weak AI output. The result is lots of activity, but little measurable productivity gain. We solve this by working directly with development teams inside their real codebases and workflows. We help with selectin the right tools (for example Cursor, Claude Code, Copilot), help refining team-level ways of working, and coach developers on best agentic coding practices. Instead of generic training, we deliver practical, hands-on training that immediately applies to day-to-day engineering work. Why this matters: AI changes fast, and most teams need partner-level guidance to adopt it safely and effectively. Devai closes that gap and helps engineering organizations ship faster with better consistency, quality, and confidence.