
Tech Disruptors AWS and How it is Building Enterprise Agents
34 snips
Nov 10, 2025 Swami Sivasubramanian, VP of Agentec AI at AWS with over 20 years of experience, joins Anurag Rana to delve into the future of enterprise AI agents. They discuss the shift from simple chatbots to agents capable of autonomous planning and task completion. Swami highlights the importance of security, data access, and governance in deploying these agents. He also explores challenges in moving from prototype to production, the significance of context and memory for personalization, and how agents can modernize legacy systems, paving the way for greater efficiency.
AI Snips
Chapters
Transcript
Episode notes
Agents Are Task-Executing Systems
- Enterprise agents go beyond chatbots by reasoning, planning, and taking actions for task completion.
- They must maintain context, call backend APIs, and automate workflows rather than just return text responses.
Enterprise Agents Need Strong Controls
- Enterprise agents must run on different data types and require governance and security controls.
- They need integration with internal systems and must protect data privacy while delivering ROI.
Agents Move Past RPA Limitations
- Agents overcome RPA brittleness by using powerful reasoning and natural language to adapt to changing UIs.
- They also integrate with backend APIs and access controls that traditional RPA lacks.

