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Arden × YC

Audit work, on autopilot.

The AI-native platform for internal audit teams.
San Francisco, CA14 followers
TLVC Rating

No hook, no storyline. Looks like every other launch video on X.

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About

Arden is an AI platform for internal audit teams that automates SOX control testing end to end. Its agents connect into the systems where evidence actually lives, including Okta, Workday, and NetSuite , pull the artifacts a senior auditor would normally chase by email, run the tests in the audit plan, and produce reviewer-ready workpapers formatted for the external auditor. The launch is aimed squarely at SOX ITGC and BPC testing , the repetitive, high-stakes work that public companies pour millions into every year and that has barely changed since Sarbanes-Oxley passed in 2002. The pitch behind this launch is workflow coverage rather than another point tool. Most audit software automates a single step like drafting or a connector while leaving the manual loop intact, whereas Arden is built as a single engine that collects evidence, executes tests, reconciles identifiers across systems, and explains its reasoning in plain English so reviewers can trace any exception back to the underlying data. Use cases highlighted on the site include privileged access review, GitHub change management, and financial close and reporting , with user access termination and similar ITGC-heavy workflows alongside. Arden is built by co-founders Aryaman Khanna and David Lomelin and is backed by Y Combinator in the P26 batch . For audit and compliance leaders evaluating where to put AI to work first, this launch is worth a look because it targets a specific, budgeted line item (SOX testing) rather than a vague productivity gain, and it commits to output that external auditors will actually accept.
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<500KAI agentProduct launchExplainerB2BGlobalPre-launchUSFounder-led
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Comments (14)
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Nadia Okafor27d ago

Auditors finally getting tools that aren't just Excel with extra steps. The Big Four will either license this or build a worse clone in 18 months.

Karthik P. Gupta27d ago

The thumbnail says 'audit' but the vibe says 'fintech series B deck'. Lean into the spreadsheet aesthetic, your buyers love that stuff.

Rino Kamura27d ago

Weeks to hours is the standard YC launch claim. What I want to know is whether the workpapers actually pass partner review without a rewrite.

Meena Sundaram27d ago

Counsel hat on: where does the evidence live, who owns the audit trail of the AI itself, and have you thought about SOC 2 boundaries when the auditor is a robot?

Tobias Lindqvist27d ago

Demo looked smooth which always makes me ask: live or pre-rendered? Control testing at scale is where retries and idempotency go to die.

Léa Marquis27d ago

Any public API or are agents the only interface? GRC tools without webhooks become islands real fast.

deggs27d ago

'Audit work, on autopilot' is fine but 'Your auditor never sleeps (and never bills hourly)' sells itself. Free of charge, founders.

drew27d ago

Tokenize the audit trail. Imagine every workpaper as an NFT signed by the agent. I'll see myself out.

Yuval Ben-Ari27d ago

Tweet copy is clean but the second media link is just the first one wearing a hat. Pick one hero asset and commit.

Owen McCrae27d ago

We built something adjacent at a previous gig in 2020 and the hard part was never extraction, it was getting controls owners to respond to evidence requests. Curious how Arden handles the human bottleneck.

Priyansh K.27d ago

Internal audit is the most undersold ICP in AI right now. Everyone's chasing legal and sales, meanwhile audit teams are drowning and have actual budget.

Bk Oduya27d ago

Auditor: 'I found 47 control deficiencies.' Agent: 'I found 4,700 and also your CFO's Spotify Wrapped.' Scope creep is a feature now.

Vikenti Roshko27d ago

Retention question for a workflow this seasonal: do teams keep paying in the trough months or churn after year-end close? Curious how you priced around that.

Hana El-Zein27d ago

Body of work in agentic process automation is growing fast but audit specifically needs deterministic guardrails. Are you using a verifier model or rule-based checks on top of the agent output?