Samir S. Chabukswar at NASSCOM Agentic AI Confluence 2026
As enterprises move from experimenting with AI agents to orchestrating them at scale, a more fundamental question emerges: Are we designing the way intelligence works, or simply configuring the technology?
At NASSCOM Agentic AI Confluence 2026, Samir S. Chabukswar, CEO of Yuj Designs and Yoxa.ai, highlighted why the success of agentic AI depends on more than building capable agents.
KEY INSIGHT
Agentic AI doesn’t have a configuration problem. It has a design problem.
MOX-F: Design Before You Build
This is where Yuj’s MOX-F (Multi-Agent Orchestration and Experience Framework) comes in, helping teams rethink workflows, define the boundaries between human and agent responsibilities, and design systems before they are built.
01 Frame the outcome — Start with the business problem and define where agentic AI can create value.
02 Reimagine the workflow — Decide what agents execute, what people own and where human judgment and accountability remain essential.
03 Shape the system — Design how agents, tools, people and enterprise systems work together.
04 Test and refine — Use simulated scenarios to evaluate behaviour and improve the workflow before production.
From Framework to Practice: yoxa.ai
yoxa.ai brings this design-led approach into practice. It enables business users to create and orchestrate AI agents using plain language, maintain control over agents and tools, and test workflows with simulated datawithout coding or engineering dependencies.
The goal is not simply to deploy more agents. It is to make agentic AI more accessible while helping teams design workflows with clear roles, human accountability and purposeful outcomes.
The Next Chapter of Enterprise AI Will Be Designed
The next chapter of enterprise AI will be shaped by the people who understand the business best. Better design is what turns their knowledge into intelligent, orchestrated action.
At Yuj, we believe the path to dependable agentic AI starts with better questions, clearer roles and intentional system design not technology alone.
