• In-house AI models: HDFC Bank developed its proprietary AI platform, Neve, using a 40-person deep-tech team with an initial investment of approximately ₹2 crore. Both HDFC Bank and Wipro prioritize specialized, smaller domain models over expensive general LLMs to achieve higher accuracy and reduced latency.
• Enterprise cybersecurity risks: Palo Alto Networks warned that data exfiltration times have dropped from several days to under 25 minutes, necessitating unified enterprise data and continuous zero-trust verification for autonomous agents. Significant regulatory ambiguity also persists regarding liability when autonomous agents misbehave or access unauthorized data.
• Workflow automation strategy: Zepto utilizes AI agents to automate procurement planning across thousands of dark stores and streamline vendor invoice processing. The company aims for an exception-based operational model where agents handle business-as-usual tasks and human intervention is limited to disruptions.
• Workforce impact framework: Wipro categorizes AI's employment impact into four quadrants covering job replacement, human augmentation, job obsolescence, and AI-exclusive tasks. While mid-level employees require substantial retraining and KPI realignment, entry-level campus hiring remains active for AI-native talent.