AI Strategy for Organizations: Moving Beyond the Pilot Project

For leaders and teams ready to scale — covering how to evaluate AI vendors, build internal adoption plans, manage change, and measure real ROI.

About This Course

Your organization ran a pilot project. Maybe a few people are using ChatGPT. Now what?

Most organizations get stuck between "we should do something with AI" and actually doing it at scale. This course bridges that gap. It is designed for leaders, managers, and decision-makers who need to build a real AI strategy — not just experiment.

We cover the full lifecycle: identifying high-value use cases, evaluating vendors and build-vs-buy decisions, managing organizational change, measuring ROI, and governing AI use responsibly. You will leave with a draft AI strategy document for your specific organization.

Who This Course Is For

Directors, VPs, and C-suite leaders responsible for technology decisions
IT leaders and digital transformation managers
Department heads who want to integrate AI into their team workflows
Consultants advising organizations on AI adoption
Anyone responsible for AI governance or policy

What You Will Walk Away With

A draft AI strategy document tailored to your organization, a vendor evaluation framework you can use immediately, a change management playbook for AI adoption, and a clear understanding of how to measure and communicate AI ROI.

What You'll Learn

Identify the highest-value AI use cases for your specific organization
Evaluate AI vendors and platforms using a structured assessment framework
Make informed build-vs-buy decisions for AI capabilities
Build an organizational AI adoption plan with realistic timelines and milestones
Design a change management strategy that addresses employee concerns about AI
Establish AI governance policies covering data privacy, ethics, and acceptable use
Measure and communicate AI return on investment to stakeholders
Create a draft AI strategy document for your organization

Session Breakdown

Session 1: Finding Your AI Opportunities

The AI maturity model: where is your organization right now?
Use case identification: a systematic framework for finding high-value AI applications
Hands-on: Map your organization's processes and identify the top 5 AI opportunities
Build vs. buy vs. partner: decision framework for AI capabilities
Vendor landscape overview: enterprise AI platforms, specialized tools, and custom solutions
Vendor evaluation scorecard: how to compare AI solutions objectively
Cost modeling: understanding the true total cost of AI implementation

Session 2: Change Management and Adoption

Why most AI projects fail — and it is rarely the technology
The human side of AI: addressing fear, resistance, and misconceptions
Building internal AI champions: identifying and empowering early adopters
Training and upskilling strategy: meeting people where they are
Hands-on: Design your organization's AI adoption roadmap
Communication strategy: how to talk about AI to different stakeholders
Pilot project design: setting up AI initiatives for measurable success

Session 3: Governance, ROI, and Your Strategy Document

AI governance framework: policies for responsible use
Data privacy and security considerations for organizational AI
Acceptable use policies: what employees can and cannot do with AI
Measuring AI ROI: quantitative metrics and qualitative benefits
Communicating AI value to leadership and boards
Hands-on: Draft your organization's AI strategy document
Implementation timeline and next steps
Ongoing learning: staying current as AI capabilities evolve

Prerequisites

This course is designed for people in leadership or management roles. You should have basic familiarity with AI concepts — completing AI Demystified first is recommended if you are new to AI. Bring knowledge of your organization's current technology landscape and strategic priorities.

What to Bring

A laptop with internet access. Bring information about your organization: current technology stack, strategic priorities, pain points you want to address, and any existing AI initiatives or experiments. You will work on your actual organization's AI strategy during the sessions.

$179

per person

No sessions currently scheduled

Bundle Discount

Save up to 30% when enrolling in multiple courses. Use code TRACK_30 for the full track.