AI, or Artificial Intelligence, is the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

1. Evaluating the Role of Artificial
Intelligence in Enhancing Accounting
Information Systems (AIS) for Financial
Decision-Making
A Research On
Course Name: Research Methodology
Course Code: ACCT-6404
Semester: 4th (Fall,2023)
Batch: 1st
Department of Accounting and Information
Systems
Faculty of Business Studies
Jagannath University

2. Course Instructor
Serial Name ID
01 Afrin Anwar Anika M22010201121
02 Audrey June Mondol M22010201128
03 Iftay Khairul Ibrahim M22010201103
04 Safayat Islam Santo M22010201133
Dr. Shilpi Das
Associate Professor
Department of Accounting and Information
Systems
Faculty of Business Studies
Jagannath University
Group Members

3. Introduction
 AI, or Artificial Intelligence, is the development of
computer systems capable of performing tasks
that typically require human intelligence, such as
learning, problem-solving, and decision-making.
 AIS, or Accounting Information System, is a
computer-based system that collects, stores,
processes, and reports financial data to facilitate
accounting and financial management in
organizations.
 We delve into the transformative impact of
Artificial Intelligence (AI) on Accounting
Information Systems (AIS). Explore how AI-driven
automation streamlines accounting processes,
advanced analytics offers insights, and real-world
examples illustrate its power in facilitating
smarter financial decision-making.

4. Artificial
Intelligence in
Accounting
 Automating tasks
 Improving data accuracy
 Enabling predictive analytics
 Enhancing decision support

5. Research
Methodology
 Primary Data
 Secondary Data
 Survey Questionnaire
 Online sources
 Some articles

6. Data Collection
 Survey Design and Implementation
 Interviewee Selection and Process
 Preparing Survey Questions.
 Google Forms.
 Accounting professionals, Financial analyst, Decision-
makers.
 Random Organizations.
 50 Samples.
Extensive knowledge in the domains of AI,
AIS, and financial decision-making

7. Data Analysis
 Descriptive Statistics
 Inferential Statistics
 Qualitative Data Analysis

8. Findings

9. Gender
29
21
Male Female
21 indicated their gender as female, comprising 42% of the sample.
Male Female
58% 42%
29 identified as male, making up 58% of the sample.

10. Age
It highlights that our sample primarily
consists of adults, with most falling
within the 26-40 age bracket.
18 to 25 26 to 40 41 and above
18% 76% 06%
0
9
38
3
Under 18 18-25 26-40 41 and above
 18-25 years: 9 respondents (18% of the sample)
 26-40 years: 38 respondents (76% of the sample)
 41 and above: 3 respondents (6% of the sample)

11. Question-01
This widespread familiarity with AI among our
sample underscores the importance and current
relevance of our research, which seeks to assess
how Artificial Intelligence enhances Accounting
Information Systems (AIS) for financial decision-
making.
Yes No 41 and above
98% 02%
49
1
Yes No
 Familiar - 49 respondents (98% of the sample)
 Unfamiliar - Only 1 participant (2% of the sample)
 Are you familiar with the concept of Artificial Intelligence AI)?

12. Question-02
These responses mirror the varying degrees of
knowledge found within our sample concerning
AIS
4
6
21
15
4
0
5
10
15
20
25
1 2 3 4 5
 Not at all Knowledgeable (1): 4 respondents (8% of the
sample)
 Somewhat Knowledgeable (2): 6 respondents (12% of the
sample)
 Moderately Knowledgeable (3): 21 respondents (42% of
the sample)
 Very Knowledgeable (4): 15 respondents (30% of the
sample)
 Extremely Knowledgeable (5): 4 respondents (8% of the
sample)
 How knowledgeable are you about Accounting Information Systems (AIS)?
1 2 3
08% 12% 42%
4
30%
5
08%

13. It is anticipated that differing levels of
familiarity may have an impact on how
respondents perceive and evaluate the
influence of AI in the context of AIS.
Not Familiar at All Somewhat Familiar Very Familiar
08% 46% 46%
4
23
23
Not Familiar at All
Somewhat Familiar
Very Familia
 Not Familiar at All: 4 respondents (8% of the sample)
 Somewhat Familiar: 23 respondents (46% of the sample)
 Very Familiar: 23 respondents (46% of the sample)
 Which of the following best describes your understanding of Accounting
Information Systems (AIS)?
Question-03

14. Question-04 & 05
These responses shed light on the extent of
hands-on familiarity with AI within our sample.
Yes No 41 and above
34% 66%
17
33
Yes No
 Yes: 17 respondents (34% of the sample)
 No: 33 respondents (66% of the sample)
 Have you ever used AI-powered tools or software in an accounting
or financial context?
 If yes in the Question No-4, please describe your experience and
the specific AI Tools or software you used?
SAP, ERP and Tally Software, XERO and
QuickBooks

15. Question-06
These varied perspectives are crucial as we assess how
AI contributes to improving Accounting Information
Systems (AIS) for financial decision-making.
 No Impact (1): 4 respondents (8% of the sample)
 Minimal Impact (2): 5 respondents (10% of the sample)
 Moderate Impact (3): 17 respondents (34% of the sample)
 Substantial Impact (4): 17 respondents (34% of the
sample)
 Significantly Improved (5): 7 respondents (14% of the
sample)
 Rate the impact of AI on the efficiency of accounting processes
1 2 3
08% 10% 34%
4
34%
5
14%
4
5
17 17
7
0
2
4
6
8
10
12
14
16
18
1 2 3 4 5

16. Question-07
These differing outlooks offer valuable insights into
how AI integration in AIS for financial decision-making
is perceived.
 Strongly Disagree (1): 3 respondents (6% of the sample)
 Disagree (2): 6 respondents (12% of the sample)
 Neutral (3): 13 respondents (26% of the sample)
 Agree (4): 22 respondents (44% of the sample)
 Strongly Agree (5): 6 respondents (12% of the sample)
 Rate the impact of AI on the accuracy of financial data and reporting in AIS
1 2 3
06% 12% 26%
4
44%
5
12%
3
6
13
22
7
0
5
10
15
20
25
1 2 3 4 5

17. AI has had a favorable impact on the
efficiency of accounting procedures
Significantly
Improved
Somewhat
Improved
No Impact
64% 36% 0%
32
18
0
Significantly Improved
Somewhat Improved
No Impact
Made it Worse
 Significantly Improved: 32 respondents (64% of the sample)
 Somewhat Improved: 18 respondents (36% of the sample)
 No Impact: 0 respondents (0% of the sample)
 Made it Worse: 0 respondents (0% of the sample)
Made it Worse
0%
Question-08  In your opinion, how has AI impacted the efficiency of accounting
processes?

18. Question-09
These responses emphasize the multifaceted nature of
concerns and challenges connected with the
integration of AI into AIS for financial decision-making.
 Data Security: 15 respondents (30% of the sample)
 Privacy Issues: 11 respondents (22% of the sample)
 Ethical Concerns: 2 respondents (4% of the sample)
 Skill Gaps: 14 respondents (28% of the sample)
 Cost of Implementation: 8 respondents (16% of the
sample)
 What concerns or challenges do you associate with integrating AI into AIS
for financial decision-making?
Data Security
Privacy
Issues
Ethical Concerns
30% 22% 04%
Skill Gaps
28%
Cost of
Implementation
16%
15
11
2
14
Data Security
Privacy Issues
Ethical Concerns
Skill Gaps
Cost of Implementation

19. Question-10
These responses reveal the range of satisfaction levels
present among our survey participants regarding
AIdriven accounting tools and software.
 Poor (1): 3 respondents (6% of the sample)
 Fair (2): 6 respondents (12% of the sample)
 Good (3): 21 respondents (42% of the sample)
 Very Good (4): 17 respondents (34% of the sample)
 Excellent (5): 3 respondents (6% of the sample
 Rate your overall experience with AI-powered accounting tools/software
1 2 3
06% 12% 42%
4
34%
5
06%
3
6
21
17
6
0
5
10
15
20
25
1 2 3 4 5

20. These responses showcase the wide array of
perceived advantages found within our survey
participants
regarding the role of AI in Accounting Information
Systems (AIS) for financial decision-making.
Decreasing
Complexity Improving Efficiency
Decreasing the
requirement of
outside financial
audits
20% 56% 14%
10
28
7
5
Decreasing Complexity
Improving Efficiency of Data Entry and
Processing
Decreasing the requirement of outside
financial audits
Eliminating the Need for Human Involvement
 Decreasing Complexity: 10 respondents (20% of the sample)
 Improving Efficiency of Data Entry and Processing: 28
respondents (56% of the sample)
 Decreasing the requirement of outside financial audits: 7
respondents (14% of the sample)
 Eliminating the Need for Human Involvement: 5 respondents
(10% of the sample)
Eliminating the
Need for Human
Involvement
10%
Question-11  What types of advantages do you think for the improvement of AI into
accounting information systems for financial decision making?

21. Question-12
These responses unveil a range of readiness within our
survey group to embrace AI-driven AIS solutions
 How willing would you be to adopt AI-powered AIS solutions in your
current or future role?
1 2 3
04% 06% 06%
4
08%
5
14%
2
3 3
4
7
5
9
13
0
4
0
2
4
6
8
10
12
14
1 2 3 4 5 6 7 8 9 10 6 7 8
10% 18% 26%
9
0%
10
08%
Recognizing these levels of readiness is essential as we
investigate the contribution of Artificial Intelligence in
improving AIS for financial decision-making,
accounting for the differing degrees of openness
among professionals and decision-makers.

22. Question-13
These responses portray a wide spectrum of comfort
levels among our survey participants regarding the use
of AI in the field of accounting.
 Very Comfortable: 12 respondents (24% of the sample)
 Somewhat Comfortable: 11 respondents (22% of the
sample)
 Neutral: 25 respondents (50% of the sample)
 Somewhat Uncomfortable: 2 respondents (4% of the
sample)
 Very Uncomfortable: 0 respondents (0% of the sample
 Please indicate your level of comfort with using AI in accounting?
Very
Comfortable
Somewhat
Comfortable
Neutral
24% 22% 50%
Somewhat
Uncomfortable
04%
Very
Uncomfortable
0%
12
11
25
2 0
Very Comfortable
Somewhat Comfortable
Neutral
Somewhat Uncomfortable
Very Uncomfortable

23. Question-14
These responses suggest a widespread belief
among our survey participants that AI-powered
AIS can
improve efficiency and lower the chances of
errors in financial reporting
Yes No 41 and above
86% 14%
43
7
Yes No
 Yes: 43 respondents (86% of the sample)
 No: 7 respondents (14% of the sample)
 Do you think AI-powered AIS can both enhance efficiency and
reduce the likelihood of errors in financial reporting?

24. Question-15
These responses indicate a prevailing sentiment among
our survey participants that AI has undeniably brought
about significant changes in AIS for financial decision-
making.
 Strongly Agree: 14 respondents (28% of the sample)
 Agree: 23 respondents (46% of the sample)
 Neutral: 11 respondents (22% of the sample)
 Disagree: 0 respondents (0% of the sample)
 Strongly Disagree: 2 respondents (4% of the sample)
 Do you think AI has already proven to be a game-changer in AIS, hasn't it?
Strongly
Agree
Agree Neutral
28% 46% 22%
Disagree
0%
Strongly
Disagree
04%
14
23
11
0 2
Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree

25. Discussion &
Recommendation
 Interpretation of Findings
 AI's Impact on Financial Decision-Making
 Future Research Directions
Our research has provided valuable insights
into how AI enhances AIS for financial
decision-making. As AI continues to reshape
the accounting profession.

26. Conclusion
In conclusion, Our research has found significant
insights into the integration of AI into AIS and its
impact on financial decision-making. We found that
AI adoption within AIS varies among organizations,
with some at advanced stages and others just
beginning to explore its potential. Our research
serves as a stepping stone in this journey, providing
valuable insights into the integration of AI into AIS
and its impact on financial decision-making.

27. Thank You