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< THE BLOG


WHAT IS YOUR AI AMBITION?



Discover how far you want to take your company with the power of AI. Gartner
presents a methodology for strategically defining your company in the Age of
Artificial Intelligence.


STRATEGIES AND RECOMMENDATIONS, ACCORDING TO GARTNER.

 


STRATEGIES: 

Companies may initially adopt Artificial Intelligence (AI) opportunistically,
but it is crucial to understand that AI goes beyond a simple technology. Gartner
recommends that business leaders establish a consensus on how AI should be
implemented within the organization.

This collective direction, known as ‘AI Ambition’, determines whether the
company seeks to surpass the usual productivity gains and aims for revolutionary
and disruptive impact, assessing the willingness to bring AI into direct
interaction with customers or use it to optimize internal operations.

Gartner’s AI Opportunity Radar provides a framework for establishing this
ambition, helping clients explore and commit to AI opportunities in four key
areas: (1) products/services, (2) core capabilities, (3) customer
experience/front office and (4) back office.

 


RECOMMENDATIONS TO EXECUTIVE LEADERS:

 * Establish the company’s ‘AI Ambition’ early, allowing the organization to
   continue experimenting. Ensure that pilot projects and smaller
   implementations reveal opportunities across the enterprise, not just in the
   front and back office.
 * Monitor the reactions of customers, citizens, and partners when served by AI,
   such as a chatbot. The influence of AI on the company’s external perception
   is crucial.
 * Provide top-down strategic guidance on how AI should support company goals
   and public/market perception. Small implementations are helpful but will
   eventually need to be aligned with strategic guidance, including growth
   goals, AI no-go zones, and acceptable risks. AI, being more than a
   technology, impacts competitiveness, brand perception and can require
   significant investments, making it a responsibility of senior business
   leaders.

 


INTRODUCTION:

In the current global scenario, where artificial intelligence (AI) is capable of
everything from talking to customers to discovering proteins, it is imperative
that executive leaders define how and where AI will be applied in their
companies. This decision process is what we call ‘AI Ambition’. Mastering
fluency in enterprise AI starts with clearly defining the scope and ambition in
the AI journey.

 


ASK YOURSELVES:

 * Is the company using AI just to improve front and back-end operations, or
   also to create new products and services?
 * How will AI affect the company’s competitive posture?
 * Will AI be used as a competitive advantage, or as a defense against it?

It is critical that executive leaders and their teams answer these questions as
quickly as possible, reviewing them frequently as the landscape of AI business
opportunities evolves. Gartner has developed a framework that not only allows
you to explore AI opportunities but also establishes the company’s ‘AI
Ambition’.



Figure 1: The AI Opportunity Radar

 


NAVIGATING THE AI OPPORTUNITY RADAR: AN IN-DEPTH LOOK

In the dynamic world of Artificial Intelligence (AI), companies face the
challenge of identifying how this technology can be more effectively integrated
into their operations and strategies. Gartner presents the ‘AI Opportunity
Radar’, an essential tool to guide companies on this journey.

The Radar is composed of a central axis, focused on the employee), outlining
four opportunity zones.

 


AXIS X: EVERYDAY AI VS. TRANSFORMATIVE AI

Everyday AI focuses on productivity, helping businesses operate faster and more
efficiently, such as automated marketing content generation and managing
customer interactions through chatbots.

Transformative AI adds creativity, discovery and innovation to AI productivity
improvements, such as healthcare diagnostics or autonomous vehicles.

 


Y-AXIS: EXTERNAL CUSTOMER-FACING VS. INTERNAL OPERATIONS

External customer-facing: Here, AI is used directly in interactions with
customers or incorporated into the products and services sold.

Internal Operations: Represents companies that infuse their internal operations
and core capabilities with AI.

 


FOUR OPPORTUNITY ZONES

Front Office: Everyday customer-facing improvements, such as improving customer
experience (CX) through AI assistants.

Product/Services: Companies infusing their products/services with AI, such as
banks using robo-advisors for wealth management.

Core Capabilities: Improving core strategic capabilities of the company through
AI, such as more accurate diagnoses in healthcare.

Back Office: Internal use of AI in everyday situations, such as automating
administrative tasks.

 

Each zone offers unique opportunities and challenges, and companies must
carefully evaluate where and how AI can be most effectively implemented to
achieve their strategic objectives.

 


DEFINING YOUR COMPANY’S AI AMBITION: A STRATEGIC AND EXPERIMENTAL APPROACH

 


Figure 2: How to Determine Your Enterprise’s AI Ambition

 

In the contemporary business world, artificial intelligence (AI) is no longer a
mere productivity instrument to become a fundamental engine of growth and
transformation.

Determining your company’s AI ambition starts with your organization’s business
strategy or public mandate. This starting point provides intentional strategic
planning to identify where AI can best be applied.

However, it is essential to recognize the experimental nature inherent to AI,
promoting a fusion between intentional strategic approaches and routine
experimental discoveries.

 


INTENTIONAL STRATEGIC PLANNING

For executive leaders, it is crucial to make decisions about how AI can create
new competitive differentiators. Whether to lead, launch products or services
powered by AI, or even evaluate the impact of the early introduction of these
products on the company’s competitive positioning, AI represents a decisive
strategic lever. In the public sector, leaders also have a responsibility to
explore how AI can transform the delivery of their public mandate.

 


ROUTINE EXPERIMENTAL DISCOVERY

Initially, companies will experiment with AI to improve processes and solve
problems, learning from these experiences and increasing interest and confidence
in using AI in different areas. These AI initiatives, generally short-term, seek
immediate returns and form a bottom-up perspective, populating various areas of
the AI Opportunity Radar.

 


VISUALIZING AI AMBITION

To lead effectively in this evolving environment, we recommend that business
leaders declare an AI ambition as early as possible to guide investment and
interest in AI that has been frenzied and scattered since late 2022. Combining
these discovery approaches driven by AI with more intentional strategic planning
will help the company solidify its AI ambition, defining the direction in which
investments, technology and business models should take.

 


EXPLORE USE CASES ON THE AI OPPORTUNITY RADAR: A STRATEGIC VISION FOR
CROSS-INDUSTRIES

 

In the current business landscape, the AI Opportunity Radar emerges as a crucial
tool for identifying and exploring potential applications of artificial
intelligence. This highly versatile tool allows companies to map specific use
cases into four opportunity zones, placing the company at the center of
innovation and digital transformation.

 


THE DIMENSIONS OF VIABILITY ON THE AI OPPORTUNITY RADAR

The AI Opportunity Radar is structured into three rings, representing different
levels of viability, based on three essential dimensions:

 * Technical Feasibility: The organization’s ability to obtain and implement
   technology.
 * Internal Readiness: The organization’s ability and openness to utilize and
   incorporate the use case.
 * External Readiness: The degree of acceptance of AI by customers, partners and
   other external parties.

 

These dimensions translate into rings of high, medium and low viability on the
AI Opportunity Radar, offering a clear path for the strategic adoption of AI
technologies.


USE CASES IN DIFFERENT INDUSTRIES


IN THE RETAIL SECTOR

Use cases range from everyday AI, such as in employee hiring and onboarding or
conversational chatbots, to transformative AI opportunities spanning social
commerce and customer subscription services.


Figure 3: The AI Opportunity Radar Populated with Retail Industry Use Cases



IN THE BANKING SECTOR

Use cases range from AI in customer service to deeper transformations in banking
processes, including AI-based financial coaches and redesign of banking
operations.


Figure 4: The AI Opportunity Radar Populated with Banking Industry Use Cases


 

 


IN THE HEALTH SECTOR

AI presents itself as a driving force for innovations, from everyday
applications to revolutionary changes in healthcare services, improving the
efficiency and quality of patient care.




Figure 5: The AI Opportunity Radar Populated with Healthcare Industry Use Cases


 

Executive leadership teams can use these radars to focus on specific AI use
cases for their industry. By analyzing models and more industry radars on the
Gartner website, companies can explore a wide range of intra-industry use cases
across finance, HR, legal, IT and supply chain, providing a comprehensive and
detailed view of emerging opportunities in various industries.

Exploring these use cases in the AI Opportunity Radar not only allows for a more
targeted approach and is strategic, but also facilitates the identification of
viable and promising opportunities within the organization’s reach, guiding
investments and innovation initiatives effectively.

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