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Why Enterprises Need a Different Approach to AI Agents | Lyzr’s Siva Surendira

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Manage episode 479901018 series 3617425
Content provided by Galileo. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Galileo or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Agentic AI exploded in 2025, but how do businesses move beyond prototypes to deploy reliable, valuable agents at scale?

Join host Conor Bronsdon and Lyzr AI CEO Siva Surendira as they discuss the complexities of building and managing AI agents for enterprises. Siva shares his journey creating Lyzr, focusing on making powerful agent frameworks accessible and trustworthy for enterprise developers. They discuss the critical hurdles businesses face, including productionization challenges, ensuring responsible AI, and bridging the gap between rapid innovation and the stringent requirements of regulated industries.

Listen as Siva explains Lyzr's approach to embedding safety guardrails natively and learn about the nuances of multi-agent orchestration, including managerial, DAG, and hybrid flows. Siva also offers insights into the limitations of "vibe coding" for enterprise use cases and stresses the crucial role of robust evaluation (evals) and choosing the right models—from local open-source options to frontier LLMs. Explore the bottlenecks hindering adoption, like custom application integration and data readiness, and learn why Siva believes the biggest opportunity for agent companies may not lie in replacing SaaS platforms but rather in automating the mundane work currently performed by humans.

Chapters

00:22 Introduction and Guest Welcome

00:52 Enterprise Agent Framework

02:48 Building Enterprise-Friendly AI Frameworks

04:56 Enterprise Concerns with Vibe Coding

09:23 Safe and Responsible AI Implementation

11:05 Multi-Agent Orchestration

14:13 Challenges in Multi-Agent Systems

14:22 Enterprise Integration Bottlenecks

17:37 The Role of Low-Code and No-Code Solutions

19:55 Inter-Agent Communication Standards

21:49 Future of AI Agents in Enterprises

29:37 Evaluating AI Agents

36:34 Conclusion and Final Thoughts

Follow the hosts

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow Today's Guest(s)

Website: lyzr.ai

LinkedIn: Siva Surendira

Check out Galileo

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠

Agent Leaderboard

  continue reading

22 episodes

Artwork
iconShare
 
Manage episode 479901018 series 3617425
Content provided by Galileo. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Galileo or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Agentic AI exploded in 2025, but how do businesses move beyond prototypes to deploy reliable, valuable agents at scale?

Join host Conor Bronsdon and Lyzr AI CEO Siva Surendira as they discuss the complexities of building and managing AI agents for enterprises. Siva shares his journey creating Lyzr, focusing on making powerful agent frameworks accessible and trustworthy for enterprise developers. They discuss the critical hurdles businesses face, including productionization challenges, ensuring responsible AI, and bridging the gap between rapid innovation and the stringent requirements of regulated industries.

Listen as Siva explains Lyzr's approach to embedding safety guardrails natively and learn about the nuances of multi-agent orchestration, including managerial, DAG, and hybrid flows. Siva also offers insights into the limitations of "vibe coding" for enterprise use cases and stresses the crucial role of robust evaluation (evals) and choosing the right models—from local open-source options to frontier LLMs. Explore the bottlenecks hindering adoption, like custom application integration and data readiness, and learn why Siva believes the biggest opportunity for agent companies may not lie in replacing SaaS platforms but rather in automating the mundane work currently performed by humans.

Chapters

00:22 Introduction and Guest Welcome

00:52 Enterprise Agent Framework

02:48 Building Enterprise-Friendly AI Frameworks

04:56 Enterprise Concerns with Vibe Coding

09:23 Safe and Responsible AI Implementation

11:05 Multi-Agent Orchestration

14:13 Challenges in Multi-Agent Systems

14:22 Enterprise Integration Bottlenecks

17:37 The Role of Low-Code and No-Code Solutions

19:55 Inter-Agent Communication Standards

21:49 Future of AI Agents in Enterprises

29:37 Evaluating AI Agents

36:34 Conclusion and Final Thoughts

Follow the hosts

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Atin⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Conor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Vikram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠Yash⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Follow Today's Guest(s)

Website: lyzr.ai

LinkedIn: Siva Surendira

Check out Galileo

⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Try Galileo⁠⁠

Agent Leaderboard

  continue reading

22 episodes

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