Enterprise Planning and Implementation

ENTERPRISE PLANNING AND IMPLEMENTATION
Name of the Student
Name of the University
Author Note

Table of Contents
Introduction................................................................................................................................2
Discussion..................................................................................................................................2
Overview of the company and industry:................................................................................2
Scenario-................................................................................................................................3
Strategy for incorporating Machine Learning and Artificial Intelligence:............................3
Motivation for applying Machine Learning and AI in the business process:........................4
Business Model Canvas:........................................................................................................5
Support of Machine Learning and AI for Value and value chain network:...........................6
Capabilities of organization and the necessary changes:.......................................................7
Project Milestone:..................................................................................................................8
Conclusion:................................................................................................................................9

Introduction
The methodology or procedure, which is employed for planning in regards with the
subsidiaries, branches or departments in an organization, is known as enterprise planning.
Enterprise planning aims at constructing plans on the basis of operational and financial reality
in every division of the organization (Costa et al. 2016). It includes the procedure of planning
in regards with external and internal factors, which affects an organization. The purpose of
the paper is to assess the application of technological functions, Artificial Intelligence and
Machine Learning in the business operations of an insurance provider, which offers car or
motor vehicle insurance. The paper will highlight the importance of application of the
project. The company selected for this paper is Bingle. The paper will stress on the
applicability and suitability of the technological implementation in the insurance company.
The paper will be concluded by presenting a summary about the benefits of incorporating
Artificial Intelligence and Machine Learning.
Discussion
Overview of the company and industry:
The industry/sector, which specializes in the protection of financial loss, is referred to
as the Insurance sector. It can be considered as the form of risk management, which is
facilitated at the time of uncertain loss. The insurance market of Australia is categorized in
various constituents, health insurance, life insurance and general insurance. The sector is
facing competitions from the existing banks of the international financial conglomerates.
Bingle Insurance, the trading name of AAI ltd. in Australia. It was founded and launched in
the year 2007. It offers care insurance and concentrates on the low-cost car insurance to the
low-risk driving skills. The policies of the company are sold online, which includes the
coverage of damage, theft and accidents of customer’s property (Bingle.com.au 2019).

Scenario:
Insurance firm has considerably lower investments in technological advancements
and is experiencing competition from the competitive firms and is facing competition from
the other insurance firms operating in the similar segments. The incorporation of the
technology is beloved to address the challenges from competition and changing customer
needs by the feature of claim assessment as well as by facilitating risk and fraud
management.
Strategy for incorporating Machine Learning and Artificial Intelligence:
Making reasonable assumptions, outline the high-level strategy of the organisation to
incorporate AI & Machine Learning
Predictive analysis- The predictive analysis helps with the facilitation and
establishment of advantages in regards with business intelligence. The transformation
of reactive reporting stance to a proactive stance for incorporating machine learning
and Artificial Learning (Saade and Nijher 2016).
The strategic planning includes the primary step of identification of goals and
objectives for the organization. In this case the goal is to respond to the increasing
competition and maintaining a strong customer base. The incorporation of machine
learning and Artificial intelligence will act as a response for improving the business
activities of insurance firm.
The implementation of the Artificial Intelligence and Machine Learning technological
advancement marks the need for a time frame, which will be constructed by
identifying the factors of complexity in regards with the new technology. The
identification of the reasons and factors which marks the requirement for replacing he