Webinar
Agentic AI Demystified for Leaders: From Generative Experiments to Operational Impact

abstract
Artificial Intelligence, including the emergence of Agentic AI, is advancing at a pace few organizations have previously experienced. New models, platforms, and ambitious claims appear almost weekly, creating an environment that is dynamic, complex, and often difficult to navigate. For many leaders, the issue is no longer whether AI is accessible, but how to interpret the noise and determine a disciplined path forward.
In this rapidly evolving landscape, Agentic AI marks a meaningful progression beyond Generative AI. While Generative AI focuses on producing content, Agentic AI extends those capabilities by reasoning through objectives, planning multi step actions, validating outcomes, and executing workflows aligned with enterprise goals.
In this session, we demystify Agentic AI from a business and architectural perspective. We move beyond hype to explain how goal driven AI agents operate within governed environments, orchestrate tools, interact with enterprise systems, and deliver measurable outcomes across functions such as Procurement, Finance, HR, Sales, and Shared Services.
The session will clarify the distinction between prompt driven automation and workflow aligned Agentic execution. We will also examine the architectural foundations required for responsible deployment, including governance, integration, evaluation frameworks, and human oversight.
Participants will leave with a clear understanding of how Agentic AI can transform operational workflows while preserving compliance, transparency, and executive control.
webinar Details
Date
Wednesday,
April 8th, 2026
Time
7:00 AM EST (New York)
2:00 PM KSA (Riyadh)
3:00 PM GST (Dubai)
duration
1 Hour
SPEAKER
Akshay Deshpande
Akshay Deshpande is a senior AI leader with deep expertise in enterprise Artificial Intelligence strategy, Agentic AI systems, and large scale digital transformation. As Senior Director of AI at Soothsayer Analytics, he leads the design and deployment of enterprise grade AI solutions across manufacturing, energy, retail, healthcare, finance, and education sectors.
Akshay has extensive experience building scalable AI architectures that integrate data engineering, machine learning, Generative AI, and Agentic orchestration within governed enterprise environments. His work focuses on transforming fragmented workflows into intelligent, auditable systems that drive measurable business impact.

Key Takeaways
This session is designed to provide practical clarity, not just conceptual understanding. Participants will learn how to
Generative AI vs Agentic AI
Clearly distinguish between Generative AI pilots and true Agentic AI workflow execution
Identifying High Impact Workflows
How to identify two to three high impact workflows within your own function that are suitable for Agentic automation
Assessing Readiness for Agentic AI
How to evaluate whether your current data and system landscape is ready for Agentic AI deployment
Governance and Human Oversight
How to design guardrails, human oversight checkpoints, and governance controls from day one
From Proof of Concept to Production
How to structure a phased roadmap to move from proof of concept to production grade deployment
Measuring Business Impact
How to measure ROI beyond cost savings, including cycle time reduction, error reduction, and decision consistency
Avoiding Common Failure Points
Common pitfalls organizations encounter such as over automation, poor integration, and lack of executive alignment, and how to avoid them
Participants will leave with a clear action framework to assess readiness, prioritize use cases, and initiate responsible Agentic AI implementation within their organization.
Who Should Attend
Business Leaders and Department Heads
Leaders responsible for improving operational efficiency, reducing manual effort, and modernizing workflows across functions such as Procurement, Finance, HR, Sales, and Operations
CXOs and Senior Executives
Executives seeking clarity on the strategic implications of Agentic AI and how it can drive measurable outcomes across enterprise operations
IT and Digital Transformation Leaders
Technology leaders evaluating AI architecture, enterprise integration, and the deployment of governed AI systems within complex environments
Innovation and AI Teams
Teams experimenting with Generative AI and looking to move beyond pilots toward structured, workflow aligned Agentic AI implementation
Managers Driving Process Improvement
Senior professionals tasked with improving workflows, reducing operational friction, and identifying automation opportunities within their teams
Risk, Governance, and Compliance Professionals
Professionals responsible for ensuring AI systems operate within defined governance frameworks, with transparency, accountability, and human oversight










