Everyday AI Podcast – An AI and ChatGPT Podcast

Ep 772: AI You Can Trust: When Good Enough Isn’t Actually Good Enough

Everyday AI

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0:00 | 28:28

What good is AI if you can't trust it? 

Everyone's racing to do more, build more, ship more agents. But if you're scanning an AI output and say it looks good enough, that isn't actually good enough. 

Especially when it comes to your company's finances. 

If you're a CFO, a finance leader, or running an SMB where one wrong number sends everything sideways, having trust in your AI is paramount.

On today's show, we're getting into why the model alone won't save you, where finance pros should actually be spending their time now, and why most companies are thinking about AI risk backwards. 

Helping us break it down is Jeremiah Edwards, Head of Sage AI, from Sage Future last week.


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Topics Covered in This Episode:

  1. AI Trust and Explainability in Finance
  2. Sage Copilot's New Agentic AI Features
  3. Financial Accuracy and Model Risk Management
  4. Chain of Thought Reasoning in AI Outputs
  5. Explainability and Auditability for CFO Confidence
  6. Human Agency and AI Automation in Accounting
  7. Shadow IT Risks and Model Integration
  8. Risk Appetite for SMB Finance AI Adoption
  9. Outlier Detection and Anomaly Monitoring with AI
  10. Future-Proofing Financial Processes with AI


Timestamps:

00:00 Discussing AI trust and auditing

05:17 AI models and math capabilities update

07:50 Importance of AI explainability

12:39 AI in finance and time-saving

13:52 Optimizing time with agentic AI

18:18 Integrating AI into teams

21:54 Using AI in different roles

24:37 Adopting AI with real value

26:59 Wrapping up and subscribing



Keywords: 

AI you can trust, trustworthy AI, audit your AI, AI explainability, explainable AI, AI in finance, agentic AI, Sage Copilot, Sage AI, financial intelligence agent, AI governance, control plane, AI accuracy, chain of thought reasoning, 

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