Executive Program · Strategy & Adoption

Agentic AI Strategy & Adoption

Turning Agentic AI Hype into Business Value

Strategy, governance & adoption — not coding

Learn how organizations can identify, evaluate, govern, and successfully adopt Agentic AI while avoiding the costly mistakes that plagued earlier AI initiatives.

Agentic AI is rapidly becoming one of the most discussed topics in technology. However, many organizations are struggling to separate genuine business opportunities from market hype.

This training helps leaders understand what Agentic AI really is, where it creates value, what risks it introduces, and how organizations can adopt it responsibly and successfully.

Participants will learn practical frameworks, real-world examples, and implementation strategies that support sustainable AI transformation.

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Key Highlights
  • Executive-Friendly
  • Business-Focused
  • Real-World Use Cases
  • AI Governance Awareness
  • Adoption Frameworks
  • Risk Management
  • Practical Strategy Development
  • Certificate of Participation

YPT's executive Agentic AI Workshop for leaders — strategy, not engineering.

Duration

1 Day

Level

Executive

Prerequisites

None

Format

Onsite, Virtual, Hybrid

Certificate

Certificate of Participation

Audience

Executives, Managers, Digital Leaders

Who Should Attend

This training is ideal for:

CIOs
CTOs
CDOs
Business Executives
Innovation Leaders
Product Owners
Digital Transformation Teams
Enterprise Architects
Data Leaders
AI Governance Teams
Managers and Decision Makers

Why Organizations Need an Agentic AI Strategy

Many organizations rushed into Generative AI initiatives without fully understanding business value, governance requirements, operational challenges, and production realities.

As Agentic AI emerges, many organizations risk repeating the same mistakes.

Organizations need to answer important questions:

  • • What is Agentic AI?
  • • How is it different from Generative AI?
  • • Which business processes should be automated?
  • • What risks must be managed?
  • • What governance is required?
  • • How do we move from experimentation to production?

This training provides a practical roadmap for answering those questions — the foundation of effective Agentic AI Strategy and Responsible AI Adoption.

Learning Outcomes

After completing this training, participants will be able to:

  • Understand the evolution of AI technologies
  • Differentiate Agentic AI from traditional AI approaches
  • Evaluate Agentic AI opportunities objectively
  • Understand major Agentic AI risks and challenges
  • Identify suitable business use cases
  • Understand Agentic AI governance considerations
  • Assess organizational readiness
  • Develop adoption strategies
  • Apply practical implementation frameworks
  • Move beyond AI experimentation toward business value realization

Course Structure

1

The Evolution of AI

Rule-Based Systems, Machine Learning, Generative AI, and Agentic AI — understanding how AI evolved toward autonomous systems.

2

The Reality of AI Adoption

Lessons from previous AI initiatives, why projects fail, common adoption challenges, and managing expectations.

3

What is Agentic AI?

Fundamentals, goal-oriented systems, autonomous decision making, tool usage, memory, planning, and reflection.

4

Agent Types and Agent Ecosystems

Core agents, supporting agents, multi-agent systems, and emerging agent patterns.

5

Components of Agentic AI Systems

Planning, memory, tool integration, execution, monitoring, and feedback loops.

6

Risks, Governance & Responsible Adoption

Governance, compliance, security, privacy, human oversight, trust, and accountability.

7

Business Use Cases

Employee onboarding, meeting management, policy discovery, knowledge management, project tracking, and helpdesk automation.

8

The PVP Approach

Productionizable Viable Product (PVP) — why many AI solutions fail to reach production and how to improve adoption success.

9

Enterprise Case Studies

ReliaQuest GreyMatter, Deloitte Zora AI, and enterprise adoption scenarios.

10

Building an Agentic AI Roadmap

Opportunity identification, prioritization, governance, adoption planning, and scaling responsibly.

Beyond AI Hype

Most AI training focuses on:

  • • Tools
  • • Prompts
  • • Chatbots
  • • Technical implementation

This training focuses on:

  • Business outcomes
  • Organizational readiness
  • Governance
  • Adoption strategy
  • Risk management
  • Value realization

Participants learn how to make better AI decisions rather than simply using AI tools.

A Practical Adoption Framework

Move systematically from awareness to scaled adoption — rather than chasing hype.

Awareness
Opportunity Identification
Use Case Evaluation
Governance & Risk Assessment
Pilot
Production Deployment
Scaling & Optimization

Industry Use Cases

Examples across:

Financial Services Telecommunications Healthcare Government Retail Education

Show how Agentic AI can support:

Operational Efficiency

Knowledge Management

Process Automation

Employee Productivity

Customer Experience

Why Learn From YPT

Practical Enterprise Experience

Real-world experience delivering Data and AI initiatives.

Published Author

Author of multiple books covering Data and AI.

Global Community

43,000+ member Data & AI community.

International Podcast

Host of the "Let's Talk About Data!" podcast.

Proven Frameworks

Creator of the Four 4s Formula, PVP Approach, DAC Architecture, and Value Discovery Canvas.

Organizational Benefits

Organizations that invest in Agentic AI Strategy & Adoption can:

Reduce AI adoption risks
Identify higher-value opportunities
Improve governance readiness
Accelerate AI transformation
Improve executive understanding
Avoid costly experimentation
Increase likelihood of production success

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Build a Responsible Agentic AI Strategy

Learn how to identify opportunities, manage risks, and successfully adopt Agentic AI to create sustainable business value.

Request Training Proposal Contact Us

Part of the YPT Data & AI Training portfolio. Need technical execution? Explore Agentic AI Solutions.