Artificial Intelligence (AI)    Team Workshop

Leading AI Projects: From Strategy to Implementation

Artificial Intelligence is transforming every industry, but technology alone does not guarantee success. Organizations need leaders who can identify the right opportunities, navigate uncertainty, manage risk, and deliver measurable business outcomes.
This highly interactive workshop, for leaders and practitioners, introduces the AI Project Delivery Framework, a practical methodology for leading AI initiatives from concept through implementation. Grounded in Agile principles, enterprise project management, and responsible AI practices, the framework helps organizations deliver AI solutions that create measurable business value.
Participants will leave with practical tools, proven templates, and a repeatable approach they can immediately apply within their own organizations.

Opening
Welcome and Introduction

Topics:
  • Welcome & Introductions
  • The current AI landscape
  • Why AI projects require a different delivery approach
  • Common challenges organizations face
  • Introduction to the AI Project Delivery Framework

Module 1: DISCOVER
Identifying High Value AI Opportunities

Identifying High Value AI Opportunities
(45 Minutes)

The first stage of the AI Project Delivery Framework focuses on identifying business problems where AI can create measurable value.

Topics:
  • Aligning AI initiatives with organizational strategy
  • Identifying high value AI use cases
  • Business value versus technical capability
  • Defining measurable business outcomes
  • Interactive Exercise
  • Evaluate and prioritize AI opportunities using a structured business value framework.


Interactive Exercise:
Evaluate and prioritize AI opportunities using a structured business value framework.

Module 2: ASSESS
Evaluating Readiness, Risk, and Governance

Evaluating Readiness, Risk, and Governance
(60 Minutes)

Before investing in an AI initiative, organizations must understand feasibility, readiness, governance requirements, and delivery risks.

Topics:
  • Organizational readiness
  • Data readiness
  • Build versus buy decisions
  • Responsible AI
  • Governance considerations
  • Privacy, security, and compliance
  • AI risk assessment

Interactive Exercise
Complete an AI readiness and governance assessment.

Module 3: PLAN
Planning AI Delivery with Agile

Successful AI initiatives require adaptive planning that embraces experimentation, learning, and continuous feedback.

Topics:
  • Agile delivery for AI initiatives
  • AI project lifecycle
  • Product backlogs
  • Minimum Viable Products (MVPs)
  • Stakeholder engagement
  • Planning for uncertainty
  • Defining success measures


Interactive Exercise
Develop a high level Agile delivery plan for an AI initiative.

Module 4: DELIVER
Executing AI Initiatives

Execution focuses on delivering incremental business value while managing uncertainty throughout implementation.

Topics:
  • Iterative delivery of work
  • Managing and learning from experiments
  • Collaborating across functions
  • Demonstrating value incrementally
  • Monitoring ongoing progress
  • Adapting to evolving requirements

Interactive Exercise
Respond to changing business priorities within an AI project scenario.

Module 5: ADOPT & MEASURE
From Pilot to Business Value

The final stages of the AI Project Delivery Framework focus on successful adoption, operational readiness, and measuring organizational impact.

Topics:
  • Organizational change management
  • User adoption
  • Operational readiness
  • Monitoring AI performance
  • Measuring business outcomes
  • Benefits realization
  • Continuous improvement

Interactive Exercise
Develop an implementation roadmap and business value scorecard.

Capstone Exercise
Bring Your Own AI Challenge

Participants apply the complete AI Project Delivery Framework to either:
  • A real AI initiative from their own organization, or
  • A facilitator provided business case.

Participants will:
  • Define the business opportunity.
  • Assess readiness and governance.
  • Develop an Agile delivery strategy.
  • Identify implementation risks.
  • Outline an adoption plan.
  • Define success measures.

Participants leave with the foundation of an actionable AI delivery plan that can be refined and applied within their own organization.
  • Live online (Microsoft Teams)
  • 9 am Eastern - 3 pm Eastern (5 hours Instruction + 1 hour Lunch)
  • Bring a team/group up to 20
  • Identify AI opportunities that align with strategic business objectives.
  • Evaluate organizational readiness and AI project feasibility.
  • Develop implementation strategies that support organizational adoption.
  • Apply Agile practices to AI project delivery.
  • Apply AI governance and responsible AI principles throughout the project lifecycle.
  • Measure AI initiatives based on business outcomes and continuous improvement.
This executive workshop is designed for:
Project Managers
Program Managers
Product Managers
PMO Leaders
Agile Practitioners		 Business Analysts
Technology Leaders
Digital Transformation Leads
AI Leads
Business Leaders
No prior AI experience is required. Familiarity with project management concepts is helpful but not required.
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Meet the facilitator
Why choose this facilitator
Artificial Intelligence initiatives succeed when organizations combine sound project management, adaptive delivery practices, and practical technology experience. This workshop is led by a facilitator who brings all three perspectives together.
Valerie is a senior project, program, and portfolio management professional with more than two decades of experience leading complex technology initiatives across multiple industries. Throughout her career, she has helped organizations deliver strategic business change by aligning technology investments with measurable business outcomes.
Her expertise spans enterprise IT delivery, Agile transformation, portfolio management, PMO leadership, digital transformation, and organizational change. Having worked with executive stakeholders, technical teams, and business leaders, she understands both the strategic decisions that shape AI initiatives and the practical realities of delivering them successfully.
Valerie holds the PMI Agile Certified Practitioner (PMI-ACP®) credential, demonstrating advanced expertise in Agile principles and adaptive project delivery. She also holds the PMI Certified Professional in Managing AI (PMI-CPMAI™) credential, which focuses on the complete AI project lifecycle, including opportunity assessment, governance, responsible AI, implementation, and business value realization.
What makes this workshop unique is the integration of these disciplines. Rather than focusing solely on AI tools or technical concepts, participants learn how to evaluate AI opportunities, manage uncertainty, govern AI responsibly, and deliver successful AI initiatives using proven project management and Agile practices.
As an experienced instructional designer and corporate facilitator, Valerie designs highly interactive learning experiences that balance practical application with real world case studies. Participants leave with frameworks, templates, and techniques they can immediately apply within their own organizations.
Whether leading digital transformation initiatives, advising organizations on delivery strategy, or facilitating workshops for professionals around the world, her focus remains consistent: helping organizations transform AI ideas into measurable business results through disciplined execution.
This workshop is led by a facilitator who combines deep enterprise technology experience with recognized expertise in Agile delivery and AI project management.
Participants benefit from a facilitator who brings:
  • More than two decades of enterprise IT, project, program, and portfolio management experience
  • PMI Agile Certified Practitioner (PMI-ACP®)
  • PMI Certified Professional in Managing AI (PMI-CPMAI™)
  • Extensive experience leading Agile, Hybrid, and traditional project delivery
  • Expertise in enterprise technology implementations, PMO leadership, and digital transformation
  • Experience designing and facilitating engaging, interactive corporate learning programs
  • A practical, business focused approach that emphasizes applying concepts in real organizational environments
  • Real world lessons learned from leading complex initiatives across multiple industries
Participants leave with practical tools, proven frameworks, and actionable techniques they can immediately apply to AI initiatives within their own organizations.