AI Strategy

Developing an AI strategy is essential for all businesses.

This program provides structured guidance for creating a comprehensive framework, enabling organizations to navigate AI-driven transformation with confidence.

By adopting a proactive approach, companies can capture the significant value and opportunities presented by AI, rather than responding reactively to ongoing industry changes.

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Executive Summary

The global economy is undergoing a fundamental transformation. Applications based on artificial intelligence technologies are rapidly evolving, offering opportunities to enhance nearly every commercial process and unlock significant value for organizations that successfully integrate these technologies. The artificial intelligence market is projected to exceed $2 trillion by the end of the decade. It is expected to cause significant disruption across labor markets, both eliminating and creating millions of new jobs.

Due to rapid advances in artificial intelligence, the global world economy is undergoing a fundamental transformation. These innovations present opportunities to improve a wide range of commercial processes and generate substantial value for organizations that adopt them effectively. The artificial intelligence market is projected to surpass $2 trillion by the end of the decade. This growth is anticipated to significantly disrupt labor markets by eliminating specific existing jobs and simultaneously creating millions of new positions.

Artificial Intelligence (AI) is defined in various ways; however, a central theme is the development of software applications that approximate human capabilities in creative reasoning and problem-solving. The primary distinction between AI and traditional computer programs lies in AI’s ability to leverage prior experience, acquired through training, to address novel problems without explicit programming. In contrast, traditional software requires explicit instructions for every possible scenario, which can result in errors.

A general artificial intelligence capable of fully replicating the broad logic and reasoning abilities of humans within a single program does not currently exist. Contemporary references to artificial intelligence in media and industry typically denote specialized applications designed to address specific tasks, such as chatbots for human interaction, image analysis for identifying medical conditions from X-ray or MRI scans, or predictive maintenance programs utilizing sensor data. However, recent advancements in software, exemplified by ChatGPT, demonstrate that AI systems have evolved to closely approximate specific human capabilities.

It is important to recognize that the term AI encompasses various sub-fields, including machine learning, natural language processing, and computer vision. For clarity, all these sub-fields will be collectively referred to as AI, with distinctions made where necessary to explain their specific functions and suitability for particular tasks.

Developing an AI strategy is essential for all businesses. This program provides structured guidance for creating a comprehensive framework, enabling organizations to navigate AI-driven transformation with confidence. By adopting a proactive approach, companies can capture the significant value and opportunities presented by AI, rather than responding reactively to ongoing industry changes.

Program Methodology

The first four sessions focus on establishing a foundation of shared understanding and terminology for the remainder of the course. We examine participants’ motivations for enrolling to define success criteria from the outset, which is essential for maximizing the positive impact that AI can have within your organization.

An examination of the history and evolution of AI will provide context for understanding how past developments have shaped the current capabilities, benefits, and risks of AI applications. Reviewing standard methods for measuring value through metrics will help establish the guardrails needed to ensure AI deployments remain focused on delivering value rather than adopting technology for its own sake.

Finally, we will examine various strategic structures available to organizational AI teams to identify which approach best aligns with your organizational culture and objectives. These structures include internal teams, centers of excellence, and partner-focused models.

The following six sessions are structured to provide teams with essential tools and knowledge for effective AI deployment and integration within business environments. By focusing on AI as a Product, the program examines AI as a practical and impactful business tool, moving beyond abstract or purely academic perspectives. The sessions address established frameworks for people, processes, and technology in AI, guide participants in identifying the most suitable approaches for their organizations, and introduce advanced tools such as generative AI (GenAI), which are currently transforming multiple market sectors.

This phase examines the specific roles required for effective AI integration and strategic organizational support structures, such as Centers of Excellence. It also addresses key enabling technologies, including cloud services for AI deployment and operational models such as Machine Learning Operations (MLOps). The importance of reliable data, governance, and risk mitigation strategies, including the adoption of Responsible AI principles and practices, is also emphasized.

With a clear understanding of the essential tools, structures, and success criteria for your organization, you are now prepared to develop a comprehensive AI strategic plan tailored to your business.

The final four sessions are dedicated to developing an AI strategic plan, including a high-level implementation roadmap and a retrospective assessment of progress made during the program. By the conclusion of the final session, participants will possess an actionable AI plan ready for execution.

Program Curriculum

Workshop 1 Define Success
Workshop 2 AI Foundations
Workshop 3 Measured Value
Workshop 4 Strategic Structure
Workshop 5 AI Product
Workshop 6 Key Technologies
Workshop 7 Data Driven
Workshop 8 Generative AI
Workshop 9 Responsible AI
Workshop 10 Change Management
Workshop 11 Sustainment & Scaling Up
Workshop 12 Action Plan

Program Objectives

Workshop 1

Define Success

Success at the conclusion of the course should be clearly defined, with a focus on articulating the optimal outcomes for both participants and the organization. This process involves examining participants’ motivations for enrolling in the course and identifying the challenges and opportunities related to artificial intelligence that have been previously explored within the organization.

Workshop 2

AI Foundations

It is essential to provide context and background on artificial intelligence & machine learning (AI/ML), with particular emphasis on successful organizational deployments. Examining the historical development of AI/ML technologies and recent key innovations will enable participants to identify opportunities and challenges relevant to their organizations more effectively.

Workshop 3

Measured Value

Examine existing methodologies for tracking and measuring value, and subsequently evaluate and recommend an approach to define, measure, and monitor the value generated by AI products within the organization.

Workshop 4

Strategic Structure

Various organizational structures can enhance the likelihood of successful AI deployment and integration. This workshop examines common support structures utilized in organizations for AI product development, deployment, and sustainment, such as Centers of Excellence, Guilds, and Partner-Driven models.

Workshop 5

AI Product

Transition from a conceptual discussion of artificial intelligence to a focused analysis of methods for transforming AI concepts into practical products within organizations. Examine established frameworks that facilitate the successful productization of AI in organizational contexts.

Workshop 6

Key Technologies

This section examines the key technologies involved in the development, delivery, and maintenance of AI products. Given the rapid evolution of AI-supporting technologies, the discussion emphasizes large, enterprise-grade ecosystems such as Microsoft Azure, Google Cloud, and Amazon AWS. These platforms are highlighted to contextualize the primary tools that organizations can leverage to support their AI initiatives.

Workshop 7

Data Driven

This workshop addresses a primary challenge in deriving value from AI products: access to appropriate, timely, and trusted data. A review of common AI architectures, data-related issues, and potential solutions will enable organizations to establish a strong foundation for their AI initiatives by focusing on this critical and frequently overlooked enabler.

Workshop 8

Generative AI

Generative AI, including widely recognized products such as ChatGPT, represents a transformative technology. This session will examine the fundamentals of generative AI, explore its current business applications, and identify the areas where it offers the greatest potential for organizational transformation.

Workshop 9

Responsible AI

Assessing the risks associated with the use of AI products within organizations is essential. Without robust design and governance, AI systems may introduce bias and other unintended consequences. Organizations must remain informed about evolving national legislation and international standards.

Workshop 10

Change Management

Successful transformative initiatives require thorough planning and preparation to facilitate integration within the organizational culture. An AI-focused organizational change management plan promotes clear communication, effective training, and adoption of new technologies and processes, thereby supporting the realization of the intended AI transformation.

Workshop 11

Sustainment & Scaling Up

The deployment of artificial intelligence represents only the initial phase; a comprehensive sustainment and scaling plan is necessary to ensure long-term value and adaptability as business requirements change. Such a plan maintains AI system performance, supports continuous improvement, and positions the organization to expand AI capabilities effectively and strategically.

Workshop 12

Action Plan

Having completed the previous workshops, you are now prepared to identify high-value AI use cases for your organization, develop an implementation roadmap, and initiate deployment.

Client Testimonials

“This program is essential for any company that wants to use AI in its business, and be ready for execution. I strongly recommend it.”

“This program transformed the information security efforts of large enterprise customers. To start this change, it was important to get agreement from stakeholders with very different views. The program built this consensus and achieved strong results.”

“This program helped our team come together on several initiatives, including governance and the creation of a charter for our Centre of Excellence.”