Agentic AI - Build, Deploy and Scale
- Date
- 2025-03-06
- Location
- Bengaluru, Karnataka, India
- Host
- Luma Technologies
About this event
Agentic AI is moving from theory to practice fast, and the biggest gap for most teams is not interest, it is execution. This event is built for people who want to understand how autonomous AI systems are actually designed, deployed, and scaled in the real world, with a sharp focus on practical decisions rather than hype. If you are exploring how agents fit into products, workflows, developer tooling, or operational systems, this is a room worth being in. Expect grounded conversations, technical and strategic perspectives, and the chance to connect with others in Bengaluru who are actively building in this space. About the Event Agentic AI - Build, Deploy and Scale is an in-person gathering for builders, operators, founders, and curious practitioners interested in the next wave of AI systems: software that can plan, take actions, coordinate tools, and operate with increasing autonomy. The goal is simple: create a practical forum around what it really takes to move from an AI demo to an agentic system that can perform reliably in production. That includes design choices, system architecture, safety considerations, deployment realities, and the often-overlooked challenges of monitoring, iteration, and scale. This is also a community-centered event. Alongside the core content, there is clear value in being in the room with people asking similar questions: What should an agent own? When does autonomy help, and when does it create risk? How do you measure performance when the system is dynamic rather than deterministic? Rather than treating agentic AI as a buzzword, this event centers on what serious teams need to evaluate: capabilities, constraints, workflows, and the operational discipline required to make these systems useful. What to Expect You can expect a format that balances learning, discussion, and networking. The title points to a full lifecycle view, so the conversation is likely to span the three stages that matter most: Build: how agentic systems are structured, what components they rely on, and how teams think about prompts, tools, memory, orchestration, and decision loops Deploy: what changes when an agent leaves a controlled environment and interacts with users, systems, or business processes Scale: how reliability, observability, governance, performance, and team workflows become essential as usage grows The event is designed to be useful whether you are early in your exploration or already experimenting. You should come ready to hear practical viewpoints, compare approaches, and ask sharper questions about where agentic AI creates real leverage. Because this is an in-person community event, there is also strong value beyond the formal content. Expect opportunities to meet others working across AI, product, engineering, startups, and applied automation. Some of the best takeaways often come from side conversations with people wrestling with the same implementation details you are. This is not just about what agentic AI can do in principle. It is about how people are thinking about building systems that are actually usable, maintainable, and worth deploying. Why Attend Agentic AI is a category where surface-level understanding is easy to get and hard to apply. Attending helps you move past vague ideas and toward a clearer mental model of what these systems are, where they fit, and what it takes to make them work. You will likely leave with a better sense of the tradeoffs involved in autonomy: when to give systems more freedom, when to constrain them, and how to think about reliability when the software is making multi-step decisions. That matters whether you are building products, evaluating internal use cases, or shaping AI strategy inside a team. This event is especially valuable if you want to: understand the practical difference between a simple AI feature and an agentic system learn how others are thinking about deployment, trust, and operational readiness get closer to the real implementation questions around tools, workflows, and scale expand your network with people actively building or evaluating AI-driven systems in Bengaluru There is also a broader reason to attend now. The conversation around AI is shifting from single interactions to systems that can act, adapt, and coordinate. Being part of that transition early gives you a more informed view of where the technology is useful today and where caution is still required. Practical Details This event will take place in person in Bengaluru, India. If you prefer live discussion, direct networking, and the kind of back-and-forth that is difficult to recreate online, the format is a strong fit. Date and time: Thursday, March 6 at 4:15 PM GMT+5:30. An afternoon start makes this well suited for attendees joining after work blocks, team syncs, or a day of meetings. If you are planning to attend, it is worth keeping enough buffer to arrive settled and ready for conversation rather than rushing in midway. The event is tagged around AI, agentic systems, autonomy, community, and networking, which gives a good sense of the room: people interested not only in the technology itself, but also in how to discuss it seriously with peers, collaborators, and potential future partners. If you are deciding whether this is worth your time, use a simple test: are you trying to better understand how autonomous AI systems are built, how they behave outside a demo, and how teams can scale them responsibly? If yes, this event is likely to be a strong use of an evening in Bengaluru.
Who should attend
This is for people who want a more practical, grounded understanding of agentic AI and want to discuss it with others who are actively exploring or building in the space. - **You are an engineer or AI practitioner** looking beyond basic model integrations and into agents, tool use, orchestration, memory, and autonomous workflows. - **You are a founder or startup operator** thinking about how agentic AI could become part of your product, internal operations, or competitive edge. - **You are a product manager or innovation lead** trying to separate meaningful AI opportunities from vague experimentation, and want a better framework for evaluating use cases. - **You are part of a team preparing to deploy AI systems** and need to think more seriously about reliability, guardrails, observability, and scale. - **You are an AI-curious builder or technologist** who learns best by being in the room, hearing practical perspectives, and asking direct questions. - **You value community and networking** and want to meet others in Bengaluru working on autonomy, applied AI, and next-generation software systems. If you are excited by the promise of AI but care just as much about execution, constraints, and real-world adoption, you will likely find your people here.