AI governance is becoming business-critical: Organizations are thinking beyond policies and exploring how AI agents should be onboarded, governed, measured, and retired. Much like human employees with clear business ownership and accountability.
The next wave of product engineering is AI-native: It's no longer just about adding AI features, but reimagining products, customer experiences, and operating models with AI at the core.
Point solutions no longer suffice: As the AI ecosystem expands, enterprises need an end-to-end view of workflows that connects individual AI capabilities into scalable business outcomes.
Business context is the real differentiator: Faster models and better infrastructure matter, but lasting value comes from embedding domain knowledge and business context into AI agents.
AI transformation is as much about people as technology: Building organizational capabilities, driving adoption, and managing change are essential to realizing the full return on AI investments.Victaulic, a global leader in mechanical pipe joining solutions, partnered with Nagarro to modernize its product support experience using GenAI. By building a conversational AI agent hosted on AWS and powered by Nagarro's Agentic AI platform knowledge assistant, Victaulic was able to instantly retrieve information from complex technical documentation. The solution reduced search time, improved support efficiency with over 90% response accuracy, and saved 600–700 engineering hours annually.
