Subvolts take Trustworthy AI in finance requires more than just good models; focus on explainability and risk management. May 7, 2026 - Business
- Learn how to ensure AI accuracy and manage risk in financial applications, moving beyond "good enough" outputs.
This episode features a practical discussion on AI trust and risk management in finance, offering actionable insights for professionals.
Ep 772: AI You Can Trust: When Good Enough Isn’t Actually Good Enough
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
Episode 772 of Everyday AI features Jeremiah Edwards from Sage AI discussing AI trust and its critical importance in finance. The conversation focuses on why simply accepting AI output as "good enough" is insufficient, especially for financial leaders and SMBs. It explores the risks of AI in accounting, the need for explainability, and how companies mismanage AI risk.
Imagine using AI for your company's money. This episode explains why you can't just trust it if it looks okay. You need to understand how it works and be sure it's right, especially when big financial decisions are on the line.
This episode is crucial for finance professionals, CFOs, and SMB leaders who rely on accurate data. It highlights that current AI development, focused on shipping more agents, overlooks the fundamental need for trust and explainability in sensitive financial applications. Listeners learn where to focus their efforts beyond just model performance and understand common pitfalls in assessing AI risk. This connects to frontier labs' ongoing work in making AI more reliable and auditable, a key challenge as AI moves into enterprise-critical functions.
- HostJordan Wilson
- GuestJeremiah EdwardsHead of Sage AI, Sage
- Guest: Jeremiah Edwards, Head of Sage AI
- Episode Title: AI You Can Trust: When Good Enough Isn’t Actually Good Enough
- Show: Everyday AI
- Length: 27 minutes
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:
- AI Trust and Explainability in Finance
- Sage Copilot's New Agentic AI Features
- Financial Accuracy and Model Risk Management
- Chain of Thought Reasoning in AI Outputs
- Explainability and Auditability for CFO Confidence
- Human Agency and AI Automation in Accounting
- Shadow IT Risks and Model Integration
- Risk Appetite for SMB Finance AI Adoption
- Outlier Detection and Anomaly Monitoring with AI
- 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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- Agentic AI
- Jeremiah Edwards
- AI systems that can perform tasks autonomously or with minimal human intervention.
- Chain of Thought Reasoning
- Jeremiah Edwards
- A method where AI explains its step-by-step thinking process to arrive at an answer.
53 min44 minQuestions people ask
- Why is "good enough" AI not acceptable in finance?
- For finance leaders and SMBs, one wrong number can have severe consequences. Trust in AI output is paramount, making "good enough" insufficient for critical financial tasks.
- What are common mistakes companies make with AI risk?
- The episode suggests most companies are thinking about AI risk backwards, implying a need for a more robust and forward-thinking approach to managing AI's potential downsides.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Everyday AI.