ABOUT THIS EPISODE
Donny C. Shimamoto, founder and managing director of IntrapriseTechKnowlogies LLC and inspiration architect for the Center for Accounting Transformation, joins "Decoding Ethics" to challenge the excitement around artificial intelligence in accounting.
Donny argues most of the current AI conversation is overhyped, with generative AI in particular failing to deliver measurable return on investment for most organizations. He distinguishes real, mature value, machine learning applications like transaction classification and document reading, from speculative claims about agentic AI.
The conversation turns to trust, professional judgment and accountability, where Donny introduces the idea of "human in the lead" rather than "human in the loop," arguing accountants must actively direct AI rather than passively supervise it.
Donny also pushes back on treating return on investment as the only measure of AI's value, pointing to employee satisfaction, engagement risk and client impact as outcomes that matter just as much.
He closes with a caution against strategy driven by fear of missing out, urging firms to solve real business problems first and treat AI as one tool, not the goal itself.
🔗 More on Donny and IntrapriseTechKnowlogies: https://www.intraprise.us
🔗 More on the Center for Accounting Transformation: https://www.improvetheworld.net
📖 Read the AICPA & CIMA Rise2040 Vision Report, from the advisory board Donny serves on: https://rise2040.com/vision-report
Follow "Decoding Ethics" for more conversations on trust, technology, and ethics – and share it with colleagues.
#DecodingEthics #AccountingEthics
Takeaways
- The hype has outrun the return. 90% of executives report no measurable ROI from AI, and most of what's delivering value today is mature machine learning, not generative or agentic AI.
- The proven wins are practical, not flashy. Technologies like transaction classification and OCR-driven document reading have quietly matured over the past 10-15 years.
- "Human in the lead," not "human in the loop." Professional judgment should actively direct what AI does, not passively supervise it after the fact.
- Accountability never transfers to the technology. Whoever signs the audit opinion or engagement letter is accountable, regardless of the tools used.
- ROI isn't the only measure of success. Employee satisfaction, engagement risk and client impact matter as much as cost savings.
Chapter Titles
00:09 Introduction to AI's Impact on Accounting
01:19 Donny's Journey From IT Audit to Business Transformation
03:21 How Technology Has Transformed Accounting Practices
05:58 The Hype Versus Reality of AI Capabilities
09:08 Where AI Is Delivering Real Value
11:55 Generative AI Versus Agentic AI Hype
16:34 Trust, Transparency and Ethical AI Use
27:15 Human in the Lead: Maintaining Professional Judgment
29:39 Data Bias, Black Boxes and the Return of Explainable AI
35:36 Measuring AI Success Beyond Cost and Efficiency
48:16 Key Takeaway: Focus on Strategic Goals. Don’t Get Caught Up in The Hype.
