AI-enabled methods are part of how we deliver (planning, coding, testing, documentation), but they’re table stakes now and we don’t sell them as the differentiator. Senior engineers own delivery outcomes, reusable engineering assets, versioned standards, and quality controls with evidence behind them, including eval gates on AI-authored changes.

Yes. SmartDev engineers can work alongside your internal product, engineering, QA, DevOps, and business teams. We establish clear responsibilities, communication routines, delivery standards, and governance processes to maintain alignment and accountability throughout the engagement.

Not exactly. SmartDev can provide dedicated engineering capacity, but our model extends beyond supplying individual developers. We combine senior technical expertise, AI-native delivery methods, reusable engineering assets, quality controls, documentation, and accountable delivery management.

SmartDev provides software engineering, AI and LLM engineering, data engineering, quality assurance, DevOps, cloud engineering, platform modernization, systems integration, and managed delivery capabilities. The team structure is defined around the product and delivery outcomes required by each engagement.

Yes — that’s NORA, our second entry point, and it’s where most of these conversations start. We evaluate the pilot, identify production gaps, and determine which components can be retained versus rebuilt. We build two independent starting points, not a required sequence.

Yes, in three distinct forms depending on what needs running. NORA Operate & Optimize — keeping one deployed AI workflow performing: quality, exceptions, cost, continuous improvement. They’re scoped differently on purpose, so you’re not paying for a scope you don’t need. Managed AI Services — keeping a productionized AI system running: infrastructure, monitoring, incident support, cost and performance optimization while Managed Services (AMS) is for keeping maintenance for your business.