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

Google's big AI health play, Adobe goes agentic with Acrobat , OpenAI’s former CTO accused Sam Altman of lying during the Musk trial, and more.

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Everyday AI
May 07, 2026

 

 In Partnership With Sage  

Sage: Finance AI That You Can Trust

If you want to see what AI actually looks like inside finance and accounting work, stop reading the hype cycle and start watching Sage.

Sage is one of the largest accounting and financial software companies in the world, powering millions of small and mid-sized businesses. At Sage Future, Sage expanded its AWS collaboration to put real AI agents into real finance workflows, built on Amazon Bedrock AgentCore and available in AWS Marketplace.

All of it sits under a renewed commitment to AI you can trust: confidence, control, and accountability. See how Sage is changing how high-performance finance teams work with AI. 

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: AI can now do more work than ever, but businesses are realizing “good enough” outputs aren’t good enough when trust and accuracy matter. Give today’s show a watch/read/listen.

🕵️‍♂️ Fresh Finds: Gemini is getting a new Agent Mode, Google Search is pulling more real-world advice from forums, Flow could soon automate parts of filmmaking and more. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Google just launched a unified AI health app, Adobe turned Acrobat into an AI-powered workspace, OpenAI’s former CTO accused Sam Altman of lying during the Musk trial, and more. Read on for Byte Sized News.

💪 Leverage AI: AI can now handle huge parts of finance work, but if the outputs aren’t accurate, explainable, and auditable, the CFO is still the one taking the risk. Keep reading for that!

↩️ Don’t miss out: Miss our last newsletter? We covered: Apple settled its iPhone AI lawsuit, OpenAI released new infrastructure tech for massive AI clusters, and Google DeepMind staff are pushing back on military AI work, and more. Check it here!

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


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.

Also on the pod today:

• Auditing your AI tools 🔍
• Explainability: why numbers matter 🧾 
• Sage Copilot’s new agentic powers 🤖 

Listen on our site:

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Here’s our favorite AI finds from across the web:

New AI Tool Spotlight –  FlowMarket Creates your AI agent and let it discover, match, and engage with the right companies automatically, Lingo.dev is The localization engineering platform, Generate.ai gives revenue teams visibility into buyer-side shifts before they impact revenue

Gemini Agent Mode — Google is testing a new Gemini Agent Mode with its own tab, promising smarter automation for inboxes, meetings, and more

AI for Small Businesses — Google’s new video series shows how real businesses use AI to save time on everything from emails to finances.

Google Search Updates — Google’s AI search now shows more direct links, previews, and personal insights to help you find trusted sources faster.

Google Search Reddit — Google's AI Search now pulls in real advice from Reddit and forums, making it easier to find trusted, firsthand info.

Antigravity Updates — Google might soon let Gemini watch your screen in real time, with custom agents and folders for smarter AI help

Flow Agent Mode — Google’s Flow may soon let you chat your way through filmmaking, with an Agent Mode that plans, edits, and manages projects for you.

EVE Online AI — EVE Online’s creators are striking out solo as Fenris Creations, with Google DeepMind joining for an AI experiment.

Flow Music and Believe — Google is teaming up with Believe to give artists early access to Flow Music and the powerful new Lyria 3 Pro AI tools.

1. Google Launches Unified Health App and AI Coach 🫀

In a major move today, Google announced the launch of the Google Health app, merging Fitbit, Google Fit, and medical data into a single hub. 

The company also rolled out its new AI-powered Health Coach as part of a rebranded Google Health Premium subscription, aiming to provide round-the-clock personalized wellness guidance. Google is betting big on proactive, continuous health support with its new screenless Fitbit Air tracker, designed for all-day comfort and deeper integration with its AI coach.

2. Adobe Unleashes AI-Powered PDF Productivity Agent 📰

Adobe just launched its new productivity agent, a turbocharged AI tool that transforms Acrobat into a workspace for smarter content creation and sharing, all in one streamlined interface.

This rollout marks a major shift, introducing "PDF Spaces"—where users can merge documents, links and notes, generate audio summaries and get instant insights with an AI assistant. By integrating these features into Acrobat Express and Studio, Adobe is positioning itself as the leader in interactive document experiences at a time when collaboration tools are rapidly evolving.

3. Court Testimony: Former OpenAI CTO Didn't Trust Altman 🗣️

OpenAI’s former CTO Mira Murati has testified under oath that CEO Sam Altman lied to her about safety protocols for a new AI model, an accusation that surfaced during the high-profile Musk v. Altman trial this week.

Murati claimed Altman misrepresented the legal department’s stance, complicating her role and creating internal “misalignment” about safety standards. She stated that Altman’s actions undermined her ability to do her job in a fast-moving, complex organization.

4. Anthropic Unveils New Research Agenda to Track AI’s Real-World Impact 🌎

Anthropic’s new research agenda, announced today, signals a major push to publicly track how AI is reshaping the economy, security, and society from inside one of the world’s top labs.

The company is promising unprecedented transparency, releasing detailed data like the Anthropic Economic Index, and actively inviting outside researchers to join their efforts through a fellowship program. The agenda zeroes in on how AI is transforming jobs, creating new risks, and even accelerating its own development, with the goal of giving governments, organizations, and the public a front-row view of these seismic shifts.

5. Report: Meta’s Agentic AI “Hatch” Nears Debut 🤖

Meta is reportedly accelerating its push into agentic AI with “Hatch,” a new consumer-focused assistant already surfacing in the company’s codebase and set for internal testing by late June, according to The Information and the Financial Times.

Positioned as Meta’s answer to OpenAI’s OpenClaw, Hatch blends image and video generation, shopping, and research features while tapping into Instagram and Facebook for social-savvy workflows. Early access will be tightly controlled behind a waitlist, but Meta’s rapid build signals a release could come sooner than expected.

When the IRS comes knocking, it's not Claude sitting in the hot seat. It's the CFO.

How?

That accountability gap is what most AI deployments in finance completely skip over. At Sage Future in San Francisco, Jeremiah Edwards, the head of Sage AI sat down with us to break down exactly why "good enough" AI literally isn't good enough when your books are on the line.

Most finance leaders keep asking which AI model to use. Wrong question.

What's the real issue? The best model in the world can't do your accounting if it isn't grounded in real data, connected to the right tools, and wrapped in a governance layer that makes every answer auditable.

Don't worry if this sounds technical. We've got the nontechnical breakdown for finance leaders and CFOs to act on.

On today's Everyday AI, we went deep on why trust and explainability aren't nice-to-haves in finance AI, plus the three moves every leader should be making right now. Let's get after it.

1. Stop Asking "Which Model?" Ask This Instead 🔥

Most finance leaders prolly obsess over which model to use, whether that's Claude, ChatGPT, or Gemini. The model isn't the bottleneck.

What actually determines whether your AI gives you trustworthy numbers? It's the full stack: model plus grounding in real data, plus the tools it has access to, plus a governance layer that controls what it does.

Sage Copilot layers control and context over whichever frontier model powers it, which means Sage can swap models as better ones ship without breaking the accountability chain.

Your finance team gets world-class AI without inheriting world-class liability.

Your job is building the RIGHT system around it.

Try This

Pull up whatever AI tool your finance team uses today. Ask it to show you exactly how it arrived at a specific number.

If it can't show its work, that's your audit risk. Ask your vendor: "Where does every answer come from, and can we see every step?" That answer tells you whether the tool belongs near your general ledger.

2. Explainability Is a Design Choice, Not a Feature ⚡

71% of finance leaders would reject AI that can't explain itself. The stat isn't the surprise.

What's wild is how many tools ship without explainability built in anyway.

Sage built chain-of-thought reasoning and full audit trails into Sage Copilot as first-class design principles, not afterthoughts.

Every step the finance intelligence agent takes is visible, including data sources, API calls, and the model's reasoning.

Here's the gnarly part.

Without that transparency, the CFO is still accountable when something goes wrong but has no way to explain how it happened.

Finance AI you can't audit is a liability dressed up as productivity. The ones building it right treat explainability as table stakes, not a differentiator.

Try This

Block 30 minutes to review your current AI tools through one lens: explainability. Not "does it work?" but "can we see how it got here?"

Run a real question and trace the reasoning trail. If there's no trail, that tool isn't ready for anything near your financial close.

Document what you find and share it with your team this week.

3. The CFO's New Job Is Governance, Not Calculation 🚀

AI is already handling the accounts payable work your team used to do manually. That freed-up time doesn't disappear.

It moves.

The finance function shifts from doer to reviewer. AI handles the batch cycles while humans own the judgment calls, anomaly reviews, and forward-looking strategy.

What's the opportunity? Sage's finance intelligence agent can help close books up to 10 days faster than traditional processes, which means 10 days of looking ahead instead of cleaning up the past.

The CFOs pulling ahead are redeploying that time into continuous accounting and REAL decisions, not quarterly batch reviews of last quarter's numbers.

Try This

Map where your finance team's time actually goes this week. Split it into two buckets: backward-looking work like reconciliation and data entry, and forward-looking work like forecasting and strategy.

If backward work tops 60% of the total, that's your AI roadmap. Accounts payable automation is the first safe win.

Layer in more agentic capabilities as trust builds over time.

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