Your Agentic AI Pilot is stuck even with the right models & tools.
Because it was never designed to scale.
Most enterprise Agentic AI initiatives don’t fail because the models are weak, or the technology is immature. They fail because organizations rush to automate without addressing trust, governance, context, and economics.
If your Agentic AI program is stuck in pilots, struggling to scale, or failing to show ROI, the problem isn’t intelligence, it’s the structure.
This Xoriant Point of View from Vineet Moroney, Chief Transformation Officer, challenges the dominant “build fast, scale later” narrative, dismantling the hype and explains why most enterprises never cross the pilot-to-production gap with Agentic AI. More importantly, it lays out what needs to change.
In this POV, you will discover:
- Why most Agentic AI programs fail despite strong models and tooling
- The critical role of governance, trust, and accountability in autonomous systems
- How to determine the right level of autonomy using Human-in-the-Loop and AI-in-the-Loop models
- A practical Desirability–Feasibility–Viability (DFV) framework to prioritize the right use cases
- How enterprises can move from pilots to scalable platforms, enterprise-grade & Agentic AI way
Whether you are exploring Agentic AI or struggling to scale existing initiatives, this POV provides a clear, structured lens to evaluate readiness, reduce risk, and accelerate value realization.
Download the POV to learn how enterprises can move from experimentation to governed, scalable, and economically viable Agentic AI.
