In this episode of AI ThoughtMakers, Sarika Gautam, Principal Technical Consultant, Geekyants, breaks down one of the biggest gaps in modern AI product development: why AI prototyping tools fail when enterprise-grade security and trust enter the picture.

Today’s AI tools can generate polished applications in minutes. But enterprise systems are not judged by how good the demo looks. They are judged by security, scalability, auditability, and trust.

This conversation explores why critical enterprise features like SSL, RBAC (Role-Based Access Control), and audit logs remain extremely difficult to generate reliably using AI-first prototyping tools.

Using real-world examples from platforms like Slack and Okta, Sarika explains why enterprise products succeed not because they are flashy, but because they are secure, reliable, and trusted.

The discussion also uncovers the hidden risks teams often ignore while moving fast with AI-generated products:

Why SSL and RBAC are far more complex than they appear

The overlooked importance of audit logs in enterprise systems

Why AI-generated demos create “false completeness”

Security risks in AI-assisted product development

Technical debt created by fast AI-generated systems

The difference between presentation-ready and production-ready products

Why enterprise trust cannot be generated with prompts alone

If you’re building AI products today, this episode raises one important question: Are you building something that only looks impressive, or something enterprises can actually trust?

Connect with Sarika Gautham & Prem

LinkedIn - / sarika-gautam-047749238
LinkedIn - https://www.linkedin.com/in/premgoswami/