Michael Hahn

Founder & CEO @Vauditapp. Building the independent verification layer for the $15T vendor economy - trusted infrastructure for the AI execution era.

[Michael Hahn @MichaelHahn26]

AI billing has gotten too opaque for companies to take vendors at their word.

That’s where @Vauditapp comes in. We independently audit AI billing and usage so companies can see what they’re actually paying for.

Thank you @theinformation and @LauraBratton5 for the coverage.

🔗https://t.co/lrFLmXAizP

[Michael Hahn @MichaelHahn26]

When AI spend optimization is the goal, you need to start from an accurate bill.

I went live on @MTSlive with hosts @theojaffee and @schisofrenia to discuss how we’re bringing transparency to AI spend with @Vauditapp. Thanks for having me!

[Michael Hahn @MichaelHahn26]

@Vauditapp audits AI spend, so mistaken overcharges don’t go unnoticed.

Thank you @LauraBratton5, for sharing our story on @theinformation TV.

[The Information @theinformation]

An audit of Anthropic customers’ bills uncovered invoicing errors, finding about $1.7 million in mistaken overcharges.

The Information’s Laura Bratton explains how those errant changes could happen:

"Maybe there was an AI agent that continued to retry a task that it was completing incorrectly and a customer didn't realize that the AI agent kept trying over and over again, and they were getting charged for it."

[Michael Hahn @MichaelHahn26]

@riansmithPR @VauditApp @theinformation @LauraBratton5 Couldn't agree more. This collaboration really helped surface a problem more companies need to be paying attention to. Thanks for being part of it, Rian.

[Michael Hahn @MichaelHahn26]

AI billing has gotten too opaque for companies to take vendors at their word.

That’s where @Vauditapp comes in. We independently audit AI billing and usage so companies can see what they’re actually paying for.

Thank you @theinformation and @LauraBratton5 for the coverage.

🔗https://t.co/lrFLmXAizP

[Michael Hahn @MichaelHahn26]

@aungkoko1996 @VauditApp @theinformation @LauraBratton5 Thank you! It's a team effort.

[Michael Hahn @MichaelHahn26]

@ZabAli83 @VauditApp @theinformation @LauraBratton5 Appreciate it! Couldn't have built this without the team.

[Michael Hahn @MichaelHahn26]

@bhanuio @VauditApp @theinformation @LauraBratton5 appreciate you, team effort all around.

[Michael Hahn @MichaelHahn26]

@ninapresyla @VauditApp @theinformation @LauraBratton5 Well put. "Grading their own homework" is exactly the problem we're solving for.

[Michael Hahn @MichaelHahn26]

@RLFriendsAsia @VauditApp @theinformation @LauraBratton5 Exactly the gap we built Vaudit to close. Everyone's optimizing the model side, almost no one's auditing the invoice side.

[Michael Hahn @MichaelHahn26]

We've audited token spend across 50+ AI-powered businesses since

March. What we found surprised even us.

5-10% recoverable through billing and reconciliation audits alone. Up to 20% more through optimization.

Most of it from retries, oversized context, and the wrong model running simple tasks.

That's why we built Token Audit: an independent ledger that reconciles your actual AI usage against provider billing.

What excites me most isn't the refunds. It's where this is going - AI Financial Governance is becoming its own category.

Kept this in limited beta until now. Today it's open to everyone.

Free Token spend audit: https://t.co/GnAhrYfuE3

#AI #Vaudit

[Michael Hahn @MichaelHahn26]

One thing I keep noticing: everyone's obsessing over model quality, agents, benchmarks.

Almost nobody's checking the bill.

We've been auditing AI token spend for months now. Retry storms charging for outputs nobody saw. Premium model running simple tasks. Context windows ballooning quietly until the invoice lands.

At @Visa 's ~1.9 trillion tokens a month, @Meta 's 60 trillion in 30 days, these aren't small mistakes anymore.

Read the full blog here: https://t.co/uGRg2MUNxZ