Agentic AI for Transformation Leaders
Dr Ankur Narang
DeepTech Entrepreneur, Technology Leader
Kush Khurana
AI & ML Leader, Venture Partner - DCX
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Redesign Enterprise Transformation for the Agentic AI Era
Most organizations are experimenting with GenAI, copilots and isolated automation projects. The harder challenge is transforming the enterprise around AI.
Agentic AI changes the transformation equation because AI systems can increasingly reason, use tools, coordinate tasks and execute end-to-end workflows. This creates opportunities not just to automate individual tasks, but to rethink how entire functions operate.
Transformation leaders therefore need a new playbook.
This course teaches you how to identify processes that can be fundamentally redesigned with Agentic AI, determine the right level of human and AI responsibility, prioritize transformation initiatives, develop the business case, and build an operating model that can scale across the enterprise.
You will work with practical frameworks for process decomposition, AI readiness, autonomy, ROI, governance, organizational design and transformation sequencing.
You will develop a structured Agentic AI Transformation Blueprint connecting business priorities, redesigned workflows, technology, people, governance and measurable outcomes.
No coding or deep AI engineering expertise is required.
What you’ll learn
Learn to redesign workflows, operating models and transformation portfolios around Agentic AI, and turn pilots into enterprise-scale impact.
Break complex workflows into human, agent and system responsibilities.
Identify where agents can coordinate or execute multi-step processes.
Move beyond task automation toward end-to-end process redesign.
Identify and prioritize high-value transformation opportunities.
Score initiatives across impact, feasibility, readiness and risk.
Balance quick wins with strategic transformation programs.
Determine which decisions remain human-led, AI-assisted or agent-executed.
Redesign roles, workflows and organizational responsibilities.
Define appropriate autonomy, escalation and approval mechanisms.
Quantify productivity, revenue, cost and customer-experience impact.
Build transformation hypotheses and measurable outcome metrics.
Connect Agentic AI investments to business and financial objectives.
Design reusable capabilities, governance and platform foundations.
Establish an operating model for enterprise-wide AI transformation.
Avoid fragmented pilots and duplicated AI investments.
Develop a phased 90-day, 6-month and 12-month transformation plan.
Define initiatives, owners, KPIs, dependencies and governance.
Present an Agentic AI Transformation Blueprint to senior stakeholders.
Learn directly from Ankur & Kush
Dr Ankur Narang
Three decades building HPC and AI systems processing billions of transactions
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Kush Khurana
AI product and deep-tech builder, Visiting Professor at Ashoka University
Who this course is for
Transformation and Digital Leaders: including Chief Transformation Officers and program heads responsible for delivering transformation.
Business & Functional Leaders: CXOs, BU heads and functional leaders in operations, finance, HR, or sales, driving AI-driven transformation.
Strategy, Consulting & Technology Leaders: responsible for shaping and executing enterprise AI transformation programs.
What's included
Live sessions
Learn directly from Dr Ankur Narang & Kush Khurana in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
16 lessons • 4 projects
Week 1
From AI Adoption to Enterprise Transformation
Week 2
Designing the Human + Agent Operating Model
Schedule
Live sessions
2 hrs / week
Projects
2 hrs / week
Async content
2 hrs / week
Frequently asked questions
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