Action Learning Plan: AI-Driven Predictive Maintenance for Aircraft

This assignment presents an Action Learning Plan (ALP) focused on leveraging Artificial Intelligence (AI) for predictive maintenance within the aircraft industry. The solution begins by scoping the project, emphasizing the potential of AI to drive business value in predictive maintenance, particularly for commercial air companies. It then analyzes the industry and external environment, highlighting key AI trends such as pattern recognition and predictive analytics, and their impact on existing offerings. The value creation and capture challenge explores the changing industry value chain, the lowering of resource costs, and the potential for new or enhanced product attributes driven by AI. The value proposition challenge brainstorms ideas for leveraging AI to enhance the value proposition, analyzing new AI-enabled products, and identifying target customers to maximize value capture, ultimately aiming to improve aircraft maintenance efficiency and customer experience.

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IMPORTANT: Scoping your ALP
Reflect upon your focus area (aircraft maintenance) and identify one where there is
a possibility for AI to drive business value. (predictive maintenance) Keep this
chosen focus area in mind as you progress through the challenges in the
assignment.
You want your ALP to have depth while being a manageable time commitment
within the timeframe of the programme. For this, it is important to have a well-
defined scope. In principle, attempting to consider lots of products and services
across a wide focus area is too broad for a single strategy project to achieve a
tangible and actionable outcome. For example, it is too ambitious to attempt an ALP
on the global business across all products and services of a full service multinational
bank!
The recommended approach is to either focus on initiatives and plans related to a
particular product or a service area or a customer segment. For example, one could
focus on initiatives for retail banking products, and within that choose a subset of
product and service offerings related to financing. These offerings could then be
analyzed across multiple customer segments to understand where the value truly
lies.
If your organization already has an AI strategy with multiple initiatives in place, a
key part of the strategic review during the ALP would be to choose among them. Be
careful to not to try to analyze more than two, or perhaps three initiatives, for the
ALP. You can always apply your new learning to other initiatives after the
programme is complete.

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Action Learning Plan
Assignment
Challenge #1: Industry or External Environment
By 2020, it is estimated 85% of enterprises will be using AI and every business
process in every industry will be transformed by AI. Just as software became a key
competitive differentiator for companies, AI will enable companies of all sizes to go
faster and achieve more.
 Give a brief overview of your organisation’s business to set the context for
your ALP. Describe why you think your organisation might be ready to
explore the business potential of AI. What are the areas of greatest promise?
 What are the key trends in AI applications affecting business in your focus
area? How do you see the likely magnitude and speed of impact of these AI
trends?
 How can your organization or function, leverage the capabilities of AI to drive
transformational impact in the enterprise )? Which AI trends seem most
important to focus on based on their magnitude and speed of impact? Pick
one or two to focus on.
 How are the AI trends or disruptions that you decided to focus on above
giving rise to new products and services that are impacting demand for
existing offerings of your organization? Are they enhancing or even
transforming existing offerings?
Aviation industries are facing numerous challenges and are therefore forced to look
for new ways to counter these problems. One of the area which has been mostly
affected and is aircraft maintenance. Al Technology such as Predictive maintenance
can be explored as high potential area even though it is still in infancy stage .This

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area is likely to be used by commercial air companies, it can include the use of
intelligent maintenance for b-fleet commercial operators. The use of artificial
intelligence (AI) is extending as a key decision-making tool for aircraft
maintenance teams at big fleet commercial air companies.
AI has been found to be very potent and numerous studies have revealed how the application of
AI can bring big transformation in aviation industry. Few air companies now utilize artificial
intelligence for pattern recognition, auto scheduling, predictive analytics, targeted advertising, as
well as customer feedback examination showing encouraging results for improved flight
experience(Berlatsky, 2011).
Many aviation experts are completing to use AI to monitor pilot voices for the hassle-free flying
experience of the travellers. The AI is to bring big changes in aviation industry.
Maintenance Prediction
Airlines firms are planning to introduce AI technology to predict impending catastrophes of
maintenance on aircraft. Leading airplane producer Airbus is taking actions to enhance the
trustworthiness of aeroplane maintenance. The company is applying Skywise, a cloud-based
information database system. It assist the fleet to gather and record a big amount of the real-time
information.
The application of artificial intelligence in predictive maintenance examination will build a
systematic method on when and how the airplane maintenance need to be carried out. Currently
you can observe how high-rated aircraft use AI to make the course of airline maintenance
smooth and enhance the customer experience.
A main problem exists for aircraft maintenance group dealing with the big amount
of information being manufactured by the newer generation airplane: this calls for
for an intelligent use, computer program or bot which are able to generate a
particular work order-task for the maintenance experts, rather than big of
information which they have to collect and examine to generate productive result.
Predictive-focused maintenance approach when airlines engines first started
shipping with the full power digital engine gear stick and intelligence sensors which
are able to capture and transmit big amounts of information. The new, as onboard
speedy access recorder as well as information acquiring technologies make access to
the rest of the airframe’s information more ubiquitous and easier, their focus is on
cutting the number of human maintenance technician as well as engineering work
hours being applied for aggregation and examination of information, substituting

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those hours with computerized decision making(Chun and Rene,2017).
Challenge #2: Value Creation and Capture
Having analyzed some of the most important digital trends and disruptions in your
focus area, let us now look at the impact of these on your organization / your
function. This analysis will help you to identify possible value propositions you can
bring to the market so that you are well positioned to capture the value that is
being created. If you already have an existing strategy then it will help you to
identify improvements and alternatives.
 What is your organization’s traditional industry value chain? How is it
changing because of the AI trends that you identified for focus on in
Challenge# 2? Are there important new activities that are appearing? Which
value drivers are powering adoption of AI? What parts of the value chain have
traditionally been well positioned for value capture, and how is this shifting?
Be on the lookout for new sources of positive feedback where success will
breed success!
 To what extent are the AI trends that you decided to focus on in Challenge#
1 lowering the resource costs required to serve customers )? To what extent
are they allowing for new or enhanced product attributes that are increasing
customers’ willingness-to-pay?
 Based on your analysis from the previous challenge and the industry value
chain, which of the AI trends in focus seem to have the most value creating
ability in the industry? What may be some “negatives” that can pull down
value creation?
 Where are the sweet spots in the industry value chain where you could
potentially see a leap in value creation and capture? Do you expect the focus
of your strategy to be entirely on new products and services enabled by AI or
on helping improve existing offerings?
 If you have existing plans and initiatives, do these enhance value creation, in
line with your analysis thus far? Are you confident these result in superior
value creation for your customers? Are you addressing the factors that might
limit value creation? To what extent are you addressing shifts in the industry
value chain as per your analysis?

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Every business has key main strategies which it uses to run their operations. These
comprises of the business strategy, information strategy, and organizational strategy. The
value chain is a brilliant strategy that incorporates all the three. The value chain can be
defined as set of activities which businesses which specific sectors uses to run their
businesses. Every activity within a businesses has to go through value chain of the
business. The AI technology is mainly promoted by good leadership and computerized
operations which business embrace. The AI has been identified as a good tool for the
following areas in aviation industry.
Identification of the Travelers
The modern inventions are supporting the improvement of mankind and AI can assist in air
transportation in many different ways. Check-in process is an important procedure task for
air transport sector, it has been noted that artificial intelligence do well in this area and can
also be applied in identifying the travellers as well (Stuart and Norvig,2010).
Baggage Screening
Screening of Baggage is another tedious but significant task which needs to be carried out
before travelling. Though, AI has streamlined the process of baggage screening. The
American air companies once carried out a competition on mobile software
development on Team Avatar and artificial intelligence became the winner of the
competition for building an app which would allow the customers to define the volume of
their luggage at the airport(Berlatsky, 2011).
Assisting travellers
AI technology can be applied in assisting clients and it can assist a business cut its labor
and operational costs. Airlines firms are now application AI technologies to assist their
clients to resolve problems quickly by getting correct data on upcoming flights journeys on
their phones. Many air companies of across the globe have planned to introduce AI-based
instruments to enhance their customer service operations in the next five years.
The application of AI in managing and controlling products as been term as the most
important value chain sector which will benefit from AI technology. More so the
predictive maintenance analytics will create a path for the systematic approach on how and
when the aircraft maintenance ought to be done.

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Challenge #3: Value Proposition
In this challenge, you will identify possible value propositions you can bring to the
market so that you are well positioned to capture the value that is being created. At
the conclusion of this challenge you should have identified a few possibilities for
value creation and capture in a well-crafted value statement.
• Based on the analysis so far, brainstorm ideas for leveraging the AI trend in
focus to enhance the value proposition of your products and services. These
can either be new ideas or you can build on existing ideas.
• Analyze each idea from a value creation and value capture perspective,
keeping in mind the AI trends with the most impact on value. What new AI
enabled products and services might you launch? What existing products and
services you might enhance, remove, or simplify? Are there features that
might raise the WTP? Can you lower the resource costs by simplifying your
offerings?
• What target customers allow you to capture maximum value? Are you
exploiting changes in the industry value chain, especially the development of
new activities that are well positioned for value capture? How might you
deliver an even greater leap in value for the market? Also, think about the
forces holding back digital value creation and think about how to creatively
address those. If you are in the public sector, reflect on how your AI strategy
or AI system will help in delivering improved welfare for the citizens.
• It is time to select your most promising value proposition - from your pool of
ideas, select your most promising idea of a new or enhanced value
proposition. This could be a whole new product or service offering, or an
enhanced version of an existing offering. Explain your idea. How does it bring
new value to the market; lowering resource costs or raising willingness-to-
pay? Why is this idea the most promising one? What are 1-2 initial use-cases
for your idea?

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Now, with your organization in mind and based on analysis from your previous challenges,
prepare a value statement – based upon the Industry Environment Perspective and the Value
Creation Perspective – that will help articulate the business value of AI to your organization.
Computers are now termed as the most important gadgets which are used in all offices across
the world and the software applications makes the computers to enable the computerization
of errands traditionally carried out by humans (such as managing budgets), virtualization of
hardware, and ever more targeted product as well as service customization. What’s more,
these apps can reach people everywhere: Sensors embedded in gadgets as well as interfaces
permit the immediate feed of data, allowing even more knowledgeable decision making as
well as machine-driven commendations. In other terms, digital technology is not only limited
the IT sectors; it is being used to practically every subdivision of a business’s value chain.
Hence it’s entirely understandable that leaders struggle to grasp what the digital changes
actually means for the companies in terms of the opportunities to follow and which plans to
highlight(Arabnia et al., 2018)
Expanding the value and evading the threats . The technologies usually touch on each
phase of end-to- end manufacturing route and international value chains; their coming
together raises new set of planned choices linked to value. These particular choices deal
with how the value is built within company and redistributed amongst business players,
nations as well as communities.
Artificial intelligence (AI) empowers manufacturers to make sense of the overpowering
information that their operations, factories as well as consumers produce, and to change
information into meaningful results. Currently, 70 percent of captured production
information goes unexploited. Using AI to the linkage of the IoT, manufacturers are
capable of orchestrating and streamlining business practices from desktops to technologies,
across offices walls and layers of sellers. The most promising immediate opportunities for
applying AI in production systems are in supply chain optimization, predictive
maintenance and quality management .AI-enabled merchandises will be big game changer
for value propositions addressed to customers, on the other hand producers need tobe
prepared to orchestrate the value networks necessary to offer these(Arabnia et al., 2018)

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Challenge #4: Strategy Execution
 You started with a few ideas to take advantage of AI, narrowed down on one
and crystalized a concrete value proposition for your organization. Now it is
time to start working on your strategy execution. Note that strategy design
need not be entirely linear, your analysis of execution challenges can also
impact your design of the value proposition.
 How will your company value chain need to change to support the new value
proposition? What new activities are required? How does the execution of
existing activities need to change?
 What resources will you need to build to deliver the offering? Consider both
internal resources (e.g. new skills and know-how) and external (e.g. new
relationships). What activities and investments are going to be critical to
build these resources?
 Reflect on the three important elements of AI strategy execution that Prof.
Zemsky refers to in his lectures.
1. Define the key steps of execution (your “real world”, data gathering, data
structuring, data integration) of your AI strategy? To which of these steps
should you allocate your efforts? Why?
2. Prof. Zemsky highlights four typical mistakes in execution. What actions
could you take to avoid these mistakes?
3. How do you remain agile through execution? What are the key uncertainties
that you have confronted during the ALP? These can be about customer WTP,
about the costs of producing new offerings, and about the need to adapt your
resources and company value chain. What experiments and pilots can you
run to gain insight and reduce the uncertainty? Who are the trusted advisors
that you can reach out to ensure that you are agile as you execute on your AI
strategy?
Artificial intelligence is forming businesses across the globe; AI is now guide leaders in

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decisions making process. The technologies that enable AI, like development platforms and
vast processing power and data storage, are advancing rapidly and becoming increasingly
affordable. The technology has improved the airline maintenance as well as streamlined
customer service in the airplane industry.
Artificial Intelligence (AI) apps runs from intelligent systems to self-directed robots as well
as drones. The AI‘s has brought legal and ethical effects, its risk and challenges, are
becoming more and more a matter of debate.
Introducing technological into a business presents a different set of problems to management.
Frequently, however, the managers responsible for shepherding a technical innovation into
routine use are much better equipped by experience and education to guide that innovation’s
development than to address its implementation. In order to carry out successful launch of the
technology. The following needs to followed
Investigation
Before introducing new technology, openly identify the problems which the technology
will address and find potential solutions. An investigation that highlights problems in the
businesses and recognises new technology resolutions involves individuals in the plan.
Interviewing stockholders or giving them a room to submit their input assist in gaining
acceptance those transformations needs to be carried out. Dissemination the top ideas and
how you have assimilated them into technical solution inspires a wide feeling of
ownership, which enables the introduction of the change.
Planning
The fact-finding part of process organises the business for the notion of technological
transformation; the co-operative planning part gets approval for the information. A
significant factor in attaining worker acceptance is highlighting on minimalizing disruption
to their job and adjusting existing measures as well as work practices whenever
conceivable. Questioning workers who carry out the work for effort in the planning process
enhance the plans since the workforces know the ideal method of performing the particular
errands. Including everybody concerned, or representative persons, gives outcomes that
you can implement effectively(Arabnia et al., 2018).
Implementation
Implementation every so often defines whether if a plan is successful. New technology
may call for installation as well as setup by experts, Staffs who setup their systems will

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keep them running and operating them for maximum successful (Harris, 2011).
Evaluation
A final phase for the successful implementation of new technology into a business is to
carry out an evaluation of its performance as soon as installed.
Challenge #5: AI-ready Culture
Fostering an AI-Ready culture requires a fundamental transformation in how things
get done, how employees relate to each other, what skills they have, and what
processes and principles guide their behaviors. All of these changes require altering
behaviors, which in turn requires letting go of old habits and adopting new ones,
which is difficult to do. Consider your stakeholders – business decision-makers, line
of business owners, and senior executives - at your organization and the importance
of building an AI-ready culture as a key element to a successful AI strategy.
Prepare a statement that you can use in a conversation with your stakeholders. The
statement must:
• Describe at least four (4) key elements that foster an AI ready culture
• Include a supporting example for each element and explain how it
might be applied in your environment.
• Describe the purpose of change management in driving AI initiatives.
• Describe how would you use some of the five (5) tools Prosci defines to
support individuals in the journey to make your organization AI-Ready.
An vital part building a vibrant team is having individuals who are attentive to collective

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effort which are greater than themselves. The compelling determination is a key
component in creating a strong team. People cannot be forced to be part of a team/group;
they require a aspiration to contribute and belong. So the most significant work of any
manager is to plainly articulate a vision and achieve it. The team members need to know
how what their contribution bring to the vision .Supporting the bigger vision of the group is
something which needs to be repeatedly strengthened. The managers need to find ways to
instil this sense of aim on an continuing basis for the continual development as well as
team productivity .Ways through which a strong team can be built is through good
leadership who focuses on collaborative efforts with the team members, the leader will
build the habits into a culture and directs the organisation to stick by it.
1. Senders and receivers
Building a strong team who are focussed on the common goals can be very productive to
the business. However a team cannot be built without a proper communication channel
between leaders and workers.
2.Fight resistance
There will be a lot of resistance from workers. This can be addressed through informing
and involving workers in every step of the process(Berlatsky, 2011).
3.Be a change agent
Leader needs to sell the idea of change to the workers and finds a way of convincing the
workers to buy his/her ideas.
4.change is a process
Change is the spark of life in any organization which takes time to prosper it’s the catalyst
for growth, progress, and innovation. Organizational change need to focus on personal
processes. organizations do not change, people do.
Grateful Inquiry is a method of to introducing change — it pursues what is right in the
business organization. AI provides a life-centric method to stimulating workers and move
them in the direction they desire(Arabnia et al., 2018).