How NTT DATA AIVista closes the last mile of agentic AI for enterprise agents

Enterprise AI success depends less on frontier models themselves and more on the 'last mile'—the specialized system built around models that incorporates proprietary data, domain workflows, governance, and undocumented institutional knowledge. Most enterprise AI projects fail due to poor integration and lack of domain expertise rather than technology limitations, requiring IT leaders to invest equally in domain specialization, guardrails, and change management rather than just model selection. This shifts the ROI equation from model capability to workflow transformation, where the real business value emerges from embedding AI into existing processes before redesigning them.