$81,267 in AI tokens. One employee. One week. One meme game.
Slash encouraged employees to experiment with AI coding. One built a game with Claude in a day, then kept iterating. The AI reprocessed the codebase on every pass.
No warning. No alert. The invoice was the first signal.
Slash, a $1.4B fintech, could absorb it. The game even went viral. For a seed-stage startup, $81K is months of runway gone in a week. Luck, not a strategy.
AI spend is B2B spend. It scales like cloud infrastructure. It needs to stay visible, controlled, and independently audited.
Vaudit is now SOC 2 Type II certified.
This adds to our existing certifications across GDPR, CCPA, and ISO 27001:2022. Compliance managed through our partner @scrutsocial. The SOC 2 Type II audit was performed by Percilchofe CPA LLC.
We audit B2B spend across AI, advertising, software, cloud, payments, and logistics. That work requires trust. Trust requires proof. Independent certification across four frameworks is that proof.
Businesses spend $15 trillion with their vendors every year. The accountability layer for that spend runs on certified infrastructure.
Our CEO, @MichaelHahn26, joined @theojaffee and @schisofrenia on @MTSlive to talk about our solution to inaccurate token billing.
At Vaudit, we're bringing transparency to token billing, checking the math so you can optimize the spend.
@LauraBratton5 joined @theinformation TV to talk about how TokenAudit, our AI auditing platform, uncovered $1.7 million in mistaken overcharges, and how 80% got credited back once flagged.
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."
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
The campaign isn't over when the ads stop.
It's over when the finances are verified.
Most adtech measures performance.
Vaudit brings independent verification to advertising.
Learn more: https://t.co/aHq8GfA7e1
#AdTech#PaidMedia
$37.7B was lost to ad fraud and invalid traffic in 2024.
Have you ever independently verified your Google or Meta bill?
Most advertisers haven't.
Vaudit audits the last 60 days of ad billing.
Start your free Historical Refund Audit:
https://t.co/aHq8GfAF3z
#AdTech#PaidMedia
The future AI problem isn't intelligence.
It's control.
AI agents can now decide, act, execute, and escalate without human involvement.
Gartner predicts 15% of work decisions will be autonomous by 2028.
Autonomous AI needs independent verification.
https://t.co/WjGpQK0Z1Q
71% of organizations use generative AI.
The real challenge isn't adoption.
It's proving ROI.
Most organizations can tell you what AI cost.
Few can tell you what value it created.
Learn more: https://t.co/hH9DhwYZuo
#AI#AIROI#AISpend#Vaudit
If your AI spend forecasts keep missing the mark, you're not alone.
82% of IT leaders report unexpected AI cost increases.
AI costs aren't just a function of usage. They're a function of models, agents, context, tools, and behavior.
You can't control what you can't predict.
AI cost problems are usually discovered after the spend already exists.
BudgetRouter applies financial governance before inference - controlling AI spend before it happens.
The future of AI isn't just intelligence.
It's financial accountability.
https://t.co/WjGpQK0rci
5–10% of AI spend is recoverable.
That's the average across 50+ AI businesses we've audited since March.
"A new category is emerging: Independent Verification Infrastructure." - Founder & CEO of Vaudit
Run your free AI Spend Audit: https://t.co/ewoZJOKkoP
AI adoption was the first challenge.
AI accountability is the next one.
Only 1 in 4 AI initiatives are meeting expected ROI targets.
Eventually every AI program faces the same question:
Can you prove the value?
Learn more: https://t.co/rXibxMXtbN
The AI conversation is shifting.
Not intelligence. Economics.
The question is no longer:
"Can we deploy AI?"
It's: "Can we explain and control what we're paying for?"
The next phase of AI is accountability.
Learn more: https://t.co/rXibxMY11l
#EnterpriseAI#AIFinOps
An AI agent selects a vendor.
Allocates a budget.
Approves a purchase.
The decision gets made in seconds.
Would you trust it?
We believe a new category is emerging:
Independent Verification Infrastructure.
Explore the future of trusted AI execution → https://t.co/rXibxMY11l
$15T in annual vendor spend.
Most of it still runs on vendor-reported numbers.
As AI becomes autonomous, trust needs verification.
The next decade won't be about AI generation.
It will be about trusted AI execution.
Learn more: https://t.co/rXibxMY11l
#EnterpriseAI
One misconfigured AI agent can create material billing exposure before finance sees the invoice.
That’s the risk with autonomous AI.
Usage dashboards show activity.
They don’t provide financial control.
Autonomous AI needs guardrails.
Learn more: https://t.co/hH9DhwZxjW
Platform reporting shows performance.
It does not verify billing.
If repeat invalid traffic is still being billed, that’s a financial control problem.
Performance visibility ≠ billing verification.
AdID verifies ad spend independently.
Learn more: https://t.co/aHq8GfAF3z