
AI is advancing faster than most organizations can keep up with. What often begins as a simple effort to work smarter soon leads to bigger questions:Can we trust the output AI produces? Who is responsible when an AI agent makes a decision? How do we avoid consequences at scale when AI is used widely across the organization? In this session, we’ll look at what really happens when AI tools are put to work in day‑to‑day business processes. Based on real-world experience, we’ll talk about where trust can break down, why existing oversight methods fall short, and how companies can put sensible checks in place without slowing progress. As AI becomes a regular part of how work gets done, the focus shifts from just saving time to building confidence between people and technology. This session is practical, not theoretical—it’s about using AI in a way that is responsible, fair, and dependable.

Salesforce Practice Director @ Quarks Technosoft Pvt. Ltd'