Organizations feel pressured to implement AI solutions without taking a holistic look at how AI can benefit them, what safeguards are needed, whether they have the skills and capacity to support it, and where the AI solutions are feasible.
There are significant risks to developing or adopting AI technology, such as a low return on investment, lack of transparency, and threats to reputation and trust, privacy and security, and inclusiveness.
Despite playing a significant role in organizations, HR is being left out of the conversation on AI adoption.

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Our Advice

Critical Insight

The resurgence of AI has led organizations to consider adopting it to help automate tasks and processes. The success of organizations in leveraging AI hinges on their ability to develop a comprehensive strategy aligned with their AI maturity level, organizational value drivers, and objectives to maximize value while mitigating risks.

Impact and Result

Organizational leaders must come together to determine the AI vision, mission, and values and how AI can support the organization’s value drivers, objectives, and initiatives to ensure success.
Organizations must consider the current state of AI maturity and the desired future state to improve AI maturity and enable the most success from AI investments.
HR must collaborate with organizational leaders to build an AI strategic roadmap that aligns maturity initiatives and AI use cases with the organization’s value drivers, goals, and initiatives to maximize value, mitigate risks, and prepare the organization for the future.

Build a Strategic AI Roadmap Research & Tools

1. Establish AI strategy scope

Establish the scope of the AI strategy and its vision, mission, and values.

2. Assess AI maturity and identify maturity initiatives

Assess AI maturity and develop maturity initiatives to address the gap between the current and ideal state.

3. Identify AI use cases

Explore AI use cases and connect them to organizational goals and value drivers.

4. Prioritize initiatives and create an AI strategy roadmap

Build an AI strategy roadmap to visualize prioritized initiatives and use cases and communicate the roadmap and next steps.

AI Strategy

Please to access this McLean Academy course

How to complete this course:

Use these videos, along with the Project Blueprint deck above, to gain an understanding of the subject. Start with the Introduction, then move through each of the Course Modules. At the end of each Module, you will be required to complete a short test to demonstrate your understanding. You will complete this course when you have completed all of the course tests.

Number of Course Modules: 5
Estimated Completion Time: 1.5 hours

Learning Outcome

Learners will be able to understand what goes into building an organizational AI strategy and how HR can support this process. They’ll also learn why it’s vital for organizations to ensure that the AI strategy aligns with the broader goals, why HR should collaborate with organizational leaders as the AI strategy is being developed, and how to do it. Learners will also get an opportunity to explore the possibilities of AI in HR and how it can help them be more efficient and streamlined.

Learning Objectives

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

Articulate the value of an organizational AI strategy.
Collaborate with organizational leaders to establish the AI strategy scope.
Engage leaders to evaluate AI readiness by assessing the current and target AI maturity.
Explore organizational and HR AI use cases.
Support leaders in developing an AI strategy roadmap.

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Course Modules

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Introduction

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Module 1

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Module 2

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Module 3

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Module 4

About McLean & Company

McLean & Company is an HR research and advisory firm providing practical solutions to human resources challenges via executable research, tools, diagnostics, and advisory services that have a clear and measurable impact on your business.

What Is a Blueprint?

A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your HR problems.

Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.

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Guided Implementation 1: Establish AI strategy scope

Call 1: Identify key individuals and establish a cross-functional steering committee. Review organizational goals and initiatives through the organization’s value drivers.
Call 2: Develop AI vision statement, draft an AI mission statement, and create AI value statements.
Call 3: Develop responsible AI guiding principles and discuss broader AI governance considerations.

Guided Implementation 2: Assess AI maturity and identify AI maturity initiatives

Call 1: Explore AI dimensions and their relation to AI maturity. Assess AI maturity and set target maturity for each component.
Call 2: Describe the gaps and develop maturity initiatives.

Guided Implementation 3: Identify AI use cases

Call 1: Brainstorm ideas for AI use cases. Review the organization’s capability map to help brainstorm potential use cases.
Call 2: Record use cases under each value driver and identify challenges and opportunities for each. Map the use cases by connecting them to organizational value drivers and initiatives.

Guided Implementation 4: Prioritize initiatives and create an AI strategy roadmap

Call 1: Prioritize maturity initiatives and AI use cases.
Call 2: Create one-pagers for prioritized maturity initiatives and use cases.
Call 3: Build the AI strategy roadmap to visualize the prioritized use cases and initiatives.
Call 4: Construct presentations for key individuals and communicate across employee groups.
Call 5: Determine next steps.