From Problem Framing to Implementation Strategy: A Consultancy Case Study of Generative AI Agents in Blueledger Accounting & Tax Services Using KPI-Based Value Measurement

Dissertation Outline (Based on the Research Proposal)

1. Introduction (10001500 words)

This chapter introduces the research context and explains the importance of Generative AI within the accounting industry. It also presents the aim of the study and the structure of the dissertation.

1.1 Background of AI in Accounting

1.2 Industry Challenges in Accounting and Tax Services

1.3 Research Aim and Objectives

1.4 Research Questions

1.5 Structure of the Dissertation

2. Literature Review (35004500 words)

This chapter reviews the existing academic literature related to artificial intelligence, digital transformation in accounting, and knowledge management. It also identifies the research gap addressed by the study.

2.1 Digital Transformation in Accounting

Automation in accounting processes
Robotic Process Automation (RPA)
AI adoption in accounting firms

2.2 Generative AI in Professional Services

Large Language Models (LLMs)
AI agents and intelligent automation
AI-driven knowledge management

2.3 Artificial Intelligence in Accounting and Auditing

Automated reconciliation
Compliance monitoring and quality assurance
AI applications in auditing and financial analysis

2.4 Organizational Knowledge Management

Tacit vs explicit knowledge
Knowledge sharing in professional services
Digital knowledge bases and documentation systems

2.5 Challenges of AI Implementation in Organizations

Ethical considerations
Governance and regulatory compliance
Human-in-the-loop systems

2.6 Research Gap

Despite the increasing research on artificial intelligence and automation in accounting, there is still a lack of KPI-based frameworks for the implementation and evaluation of Generative AI in accounting firms. Existing studies often focus on technological capabilities rather than structured implementation strategies that measure business value, operational performance, and organizational adoption.

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From Problem Framing to Implementation Strategy Part 1