Agentic AI systems are gaining traction as organizations look beyond simple automation toward solutions that can reason, decide, and act within defined boundaries. While these systems involve advanced technology, their success depends heavily on clear goals, well-defined constraints, decision flows, and accountability, areas where Business Analysts already excel.
In this session, Gaurav Chawla reframes Agentic AI design through a Business Analyst lens. Participants will explore how core BA practices map directly to the structure of agentic systems, including defining objectives, identifying inputs and outputs, shaping decision logic, and establishing feedback loops that guide behavior over time.
Rather than focusing on heavy coding or model training, the session emphasizes mindset and design. Gaurav will walk through how BAs can contribute meaningfully to Agentic AI initiatives by clarifying business intent, setting guardrails, and ensuring that agents operate responsibly within real-world constraints. Attendees will also gain clarity on the minimal technical concepts worth understanding in order to collaborate effectively with data scientists and engineers.
The session concludes with practical next steps BAs can take immediately, whether they want to participate in AI projects, influence solution design, or begin experimenting with agent-based tools in a controlled and responsible way.
This session is ideal for Business Analysts, product professionals, and technology-adjacent roles who want to understand Agentic AI without hype and learn how their existing skills apply directly to this emerging space.
INSTRUCTOR PROFILE
Gaurav Chawla is a Senior Data Scientist and Machine Learning Engineer with over 15 years of experience building scalable, real-world AI solutions in banking and finance. He specializes in fraud detection, cloud-native machine learning on AWS, and production-grade analytics systems.
Gaurav is passionate about open-source development, applied research, and translating complex models into meaningful business impact. His work focuses on bridging technical depth with practical application, helping organizations move AI solutions from concept to production in a way that delivers measurable value.