Introduction to The Business of AI Roadmap

Name: Introduction to The Business of AI Roadmap
Rating: 4.3 (5 reviews)

Realizing Business Value of AI

Created byBrian Silverman

Last updated 1/2026

English

What you'll learn

Understand the Business of AI Roadmap – Explain the purpose, structure, and phases of the roadmap, and how it supports aligning AI with organizational strategy.
Identify and Prioritize AI Use Cases – Evaluate potential AI opportunities based on business goals, feasibility, and ROI considerations.
Assess AI Readiness Across Ecosystem – Analyze organizational culture, data, applications, and infrastructure readiness for AI adoption.
Integrate Security and Governance – Describe the role of AI security and governance, and how they align with broader cybersecurity and organizational policies.
Learn how to apply The Business of AI Roadmap for your organization.Evaluate ROI and Business Impact – Distinguish between tangible and intangible benefits, and
Adapt and Iterate AI Strategy – Demonstrate how to update and refine the AI roadmap as technology, business priorities, and the ecosystem evolve.
Leverage the activities, and tables, for each step to put the roadmap into action for learning and organizational use.

Course content

7 sections • 19 lectures • 2h 5m total length

The Business of AI Roadmap Introduction for Udemy Updates for 202624:56

Action Table for Phase 1, to document necessary tasks for this phase.
Step 1 focused on building AI Awareness and Culture.7:04
Step 2 Strategic Alignment with AI4:12
This step is focused on documenting and evaluating the organization's business goals and objectives. The focus is the key steps, how to identify and prioritize the right ones that AI will help achieve.
Step 3 Explore and Prioritize AI Use Cases4:36
In this step, we leverage what you learned in Step 1 and Step 2, to help identify AI Use Cases that will deliver value to the organization. This is a creative step, with a brief evaluation of those use cases at the end of the step.
Step 4 Structure and Score AI3:03
While Step 3, was to brainstorm and create potential AI Use Cases, Step 4 is about beginning the approach to objectively evaluate these AI Use Cases. Including, considering non-AI alternatives to achieving the goal or objective documented in Step 3. Coming out of Step 4 should be prioritized AI Use Cases that will be evaluated in the following phases of the roadmap.
Phase 1 AI Readiness and Strategy Quiz

Phase 2 Action and Activities Table
Step 5 Align Use Case with AI Capabilities6:58
In this step, we discuss choosing the correct AI Type for the prioritized use case.
Step 6 Assess AI Ready Data Sources6:29
You have selected the correct AI types for you AI Use Case. It is data, structured and unstructured, that are the fuel for training, developing and putting your AI Solution into production.
This step is about identifying the necessary data, structured and unstructured, for your use case and its readiness to support an AI Solution.
Step 7 Assess AI Application Readiness6:06
If data is the fuel for AI, applications are the engine. For the AI Use Case you are evaluating this step is focused on identifying the necessary applications your AI Solution will need to access and work with to be successful as well as their readiness to integrate with your potential AI Solution.
Step 8 Use Case API Requirements5:00
Step 9 Re-Rank Use Case Feasibility3:10
In this step, we review this AI Use Case and evaluate it against other prioritized use cases being evaluated, prioritized and ranked for investment ad development by the organization. This step is revisited at the end of each phase for review and any updates on ranking.
Phase 2 Technology and Data Readiness Quiz

Phase 3 Action and Activities Table
Step 10 AI Model Training and Deployment6:47
In phase 2, you reviewed and evaluated the data, applications, and API Readiness for chosen AI types for this particular use case. AI, whether Generative, Predictive, or Agentic needs to be trained leveraging the data and information required. This step is about identifying and the readiness to support training AI for this prioritized AI Use Case.
Step 11 Systems and Infrastructure Readiness8:32
Phase 3 AI Implementation

Phase 4 Activity and Actions Table
Step 12 AI Security7:26
In this step, the focus is on AI Cyber security requirements. It is important for protection of the AI Solution, but it extends to how the AI solution will operate across the organization and cyber security. The AI Solution won't be isolated, in fact as we learned in the previous phases it is dependent on resources such as data, applications and systems to be successful. That also means it needs the protections and the cyber readiness for AI and the impact across the organization as well.
Step 13 AI Trust and Governance5:19
Phase 4 AI Security and Governance Quiz

Phase 5 Feasibility and ROI Actions and Activities Table
Phase 14 Plan Ecosystem Training6:15
In phase 1, we discussed and document readiness, skills and culture for AI Across the organization. In this step, we focus on a particular AI Use Case including the ecosystem such as customers, partners and suppliers. The key in this step is to determine requirements that are specific to this use case, and which maybe either across other use cases or cross organizational. This is in this phase, to ensure that training and requirements and their costs are considered when reviewing the ROI for this AI use case.
Step 15 Feasibility and ROI5:49
The Business of AI Roadmap is unique, in that we continually review, rank and prioritize use cases based on what you document in each step. This is to be objective, aligned to measurable business goals and objectives, and deliver value and ROI for the organization. This step is focused on documenting costs, and benefits of your AI Use case, but not replace any organizational standards and processes for evaluating ROI.
Phase 16 Confirm Feasibility and Priority5:39
This step, is the last step in Phase 5 that is focused on the particular prioritized AI Use Case. This step requires reviewing the various use case and evaluation tables and determining the priority and ranking of this particular use case against other previously reviewed AI Use Cases.
Phase 5 Feasibility and ROI Quiz

Phase 6 Executive Review and Roadmap Process Activities and Action Tables
Step 17 Steering Committee and Executive Reviews3:59
A Business of AI Roadmap strategy and plan, won't be successful if the organization is not committed to its overall success. The key is to review the overall roadmap, prioritized use cases, and gain support as well as assistance from the AI Steering Committee if there is one and the leadership team.

This step focuses on that review, and how to be successful.
Step 18 Ongoing Strategy & Roadmap Update4:13
This is the last step in The Business of AI Roadmap process, but hopefully not the end of your AI Roadmap strategy. In this step, you review what you learned across the roadmap, and the reviews and document your Business of AI Roadmap process in the future.
The Business of AI Roadmap Final Quiz

Requirements

AI Awareness helps, but is not necessary.

Description

Course Description

Artificial Intelligence is transforming every industry—but without a clear roadmap, many organizations struggle to turn potential into measurable results. This course introduces The Business of AI Roadmap, a practical framework designed to help leaders, managers, and practitioners align AI with real business value.

You’ll learn how to identify and prioritize AI use cases, assess readiness across people, data, applications, and infrastructure, and integrate AI security and governance into your broader business strategy. Through real-world examples and case studies, you’ll see how companies are applying AI successfully—and where projects often go wrong.

Whether your organization is just beginning its AI journey or already experimenting with AI solutions, this course will give you the tools to build a strategy that adapts to evolving technologies and business needs. By focusing on business goals rather than hype, you’ll be equipped to unlock innovation, measure ROI, and ensure your AI initiatives are sustainable over time.

What you’ll learn

By the end of this course, students will be able to:

Understand the Business of AI Roadmap: Explain the purpose, structure, and phases of the roadmap, and how it supports aligning AI with organizational strategy.
Importance of Aligning AI and Business Strategies: Understand the importance of aligning AI and Business Strategy for AI Success.
Identify and Prioritize AI Use Cases: Evaluate potential AI opportunities based on business goals, feasibility, and ROI considerations.
Assess Readiness Across Dimensions: Analyze organizational culture, data, applications, and infrastructure readiness for AI adoption.
Integrate Security and Governance: Describe the role of AI security and governance, and how they align with broader cybersecurity and organizational policies.
Evaluate ROI and Business Impact: Distinguish between tangible and intangible benefits, and apply methods for measuring the business value of AI initiatives.
Adapt and Iterate AI Strategy: Demonstrate how to update and refine the AI roadmap as technology, business priorities, and the ecosystem evolve.
Leverage Activities to Develop Practical Skills: Leverage activities for each module to learn, and document a business centric AI Strategy.

Who this course is for:

Business Leaders: They have a general knowledge of AI, probably use or have used ChatGPT or CoPilot, and feel pressure to leverage AI for their broader organization. There is a fear of missing out, and more importantly falling behind their competition.
IT Leaders: They understand the technology and some of the capabilities of AI, but they hesitations based on the cost, time required and having been through similar technology waves in the past. They are concerned about the business pushing quickly, and want to get ahead of the business in helping create an AI strategy that is business aligned and feasible.
Students who are looking for a practical approach to developing and deploying robust organizational AI Strategies

Introduction to The Business of AI Roadmap

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 25min

Phase 1: AI Readiness and Strategy4 lectures • 19min

Phase 2 Technology and Data Readiness5 lectures • 28min

Phase 3 AI Implementation2 lectures • 15min

Phase 4 AI Security and Governance2 lectures • 13min

Phase 5 Feasibility and ROI3 lectures • 18min

Phase 6 Executive Review and Roadmap Process2 lectures • 8min

Requirements

Description

Who this course is for: