Page 89 - CMA Journal (Mar-Apr 2025)
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              3) Tax  Compliance:  From data gathering to filing   made. Black-box AI models that can’t explain their
                  returns, the AI ensures timely and compliant tax   logic face skepticism—especially in regulated
                  processes, while staying updated with rule changes.  industries.
              4) Continuous Auditing: Instead of periodic reviews,   3) Cybersecurity  and  Privacy: Agentic AI handles
                  Agentic AI enables real-time monitoring of       sensitive data—from payroll to audit trails. Ensuring
                  transactions and internal controls, flagging issues as   data protection, encryption, and access control is
                  they arise.                                      non-negotiable.
              5) Audit  Evidence  Collection: The AI pulls required   4) Evolving Regulations: Jurisdictions worldwide are
                  documentation from emails, systems, and logs     still shaping laws on AI use in financial
                  without manual request lists or follow-ups.      decision-making. Compliance with both financial
                                                                   and data governance regulations must be
              6)  Fraud and Risk Analysis:  By analyzing patterns
                                                                   maintained.
                  across large datasets, Agentic AI can uncover
                  potential fraud indicators or policy violations that   5) Skills  Gap: Finance professionals need to
                  might escape human notice.                       understand how to interpret AI outputs, validate
                                                                   algorithms, and manage exceptions. Upskilling is
              7)  Client Advisory Services:  With routine work
                                                                   crucial to bridge this gap.
                  handled by AI, accountants can offer deeper
                  insights and tailored recommendations, using   6) Cost  and   Change    Management:    Initial
                  AI-generated data summaries and forecasts.       implementation  can   be   resource-intensive.
                                                                   Organizations need to demonstrate ROI and
              8) Due  Diligence  Support:  In mergers and
                                                                   manage cultural resistance to change.
                  acquisitions, AI agents quickly assess financial and
                  operational risks by scanning large volumes of   A New Role for Accountants and Auditors
                  documents and metrics.
                                                               Rather than being replaced, professionals will be
              Who’s Leading the Adoption?                      redefined. The future accountant is not a bookkeeper
                                                               but a strategist—someone who validates AI outputs,
              While widespread implementation is still maturing, the
                                                               interprets complex data relationships, ensures ethical
              momentum is clear:
                                                               compliance, and translates insights into business value.
              •   Big Four firms are developing proprietary agentic
                                                               Auditors   will  become   continuous   assurance
                  systems for continuous auditing, dynamic risk
                                                               professionals, leveraging AI for deeper, real-time
                  assessments, and smart tax engines.
                                                               coverage and shifting their focus to judgment,
              •   Startups and fintechs are creating modular AI   stakeholder engagement, and regulatory liaison.
                  agents that integrate with accounting platforms like
                                                               Agentic AI marks a revolutionary point in the evolution
                  Xero, QuickBooks, and SAP.
                                                               of accounting and auditing. It brings speed, scale, and
              •   Corporations are exploring agentic tools in internal   intelligence to tasks that were once repetitive and
                  finance functions—particularly in shared service   manual. While the road to full adoption requires careful
                  centers and global reporting teams.          planning,  ethical  considerations,  and  technical
                                                               readiness, the destination promises immense value.
              In    most     cases,    these    are    hybrid
              implementations—where humans oversee and validate   Those who embrace agentic AI early—integrating it
              AI outputs. But as trust grows and performance   thoughtfully into processes and teams—will lead the
              improves, autonomy is gradually increasing.      future of the profession. In this future, man and machine
                                                               work in harmony: AI drives the tasks, and humans drive
              Challenges and Considerations
                                                               the strategy.
              Despite its potential, the path to agentic AI is not   About the Author: Alia Noor is an Associate Partner at Ahmad
              without hurdles:                                  Alagbari Chartered Accountants and also holds the position of
                                                                Director VAT in the LEA Consultant & Director Program at Alif
              1)  Data Quality and Integration: AI is only as good as   Technologies. She has been associated with EY and Unilever
                  the data it receives. Many organizations still struggle   Pakistan for external and internal audits. She is the founder and
                  with fragmented systems, inconsistent coding   owner of “xpertsleague” a free learning platform. She holds
                  practices, and incomplete datasets.           professional qualifications, FCMA, CIMA, and MBA along with
                                                                Certifications in Oxford Fintech Program, Digital Mindset, COSO
              2) Explainability  and  Trust: Professionals and   Enterprise Risk Management, COSO Internal control, and GCC

                  regulators need to understand how decisions are   VAT Diploma.

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