Generative artificial intelligence (GenAI) has become a practical tool in accounting work, particularly for writing, summarization, research synthesis, and standardizing internal documentation. For small and mid-size CPA firms, however, the same tools can create heightened risks when used without guardrails, especially around client confidentiality, cybersecurity exposure, and professional responsibility. This article offers an implementation-focused framework designed for firms with limited in-house IT/security capacity, including those that rely on a small internal team or outsourced providers. The proposed approach, the “3-Tier GenAI Stack,” aligns AI usage with data sensitivity and operating environment so firms can capture efficiency gains while preserving client trust. The article also provides a pragmatic adoption pathway that emphasizes acceptable-use rules, prompt discipline, human review controls, and vendor due diligence.
Generative artificial intelligence (GenAI) has become a practical tool in accounting work, particularly for writing, summarization, research synthesis, and standardizing internal documentation. For small and mid-size CPA firms, however, the same tools can create heightened risks when used without guardrails, especially around client confidentiality, cybersecurity exposure, and professional responsibility. This article offers an implementation-focused framework…
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