A/DVNT Enterprise™ — the AI Governance and Operating Layer for Claude · live in under 60 minutes
    // The YC AI Audit · Open diagnostic

    The YC AI Audit.
    A 7-day diagnostic for AI-native founders.

    Where your AI posture, risk surface, and operating layer stand today — and the 30/60/90 plan to get you investment-grade before your next raise. Written by operators who run AI platforms in production.

    Nothing on this page is gated. The method, the chapter list, what we typically find, and the document itself are all below — read it before you decide whether to talk to us.

    7 days · turnaround
    $7,500 · fixed · free for active YC batches
    24 pages · written deliverable
    No gate · no NDA · no sequence
    // What you get

    Four artifacts. One operator-grade verdict.

    Posture Score

    A single index across governance, operating discipline, model usage, and shipping velocity — benchmarked against YC-stage peers.

    Risk Surface

    The 8 risk categories every AI-native startup leaks on: data, prompts, agents, identity, vendor lock-in, audit trail, IP, and customer trust.

    Operating-Layer Gap Map

    Where your current Claude / OpenAI stack sits versus a production-grade AI Operating Layer — and what is missing between the model and your customers.

    30 · 60 · 90 Plan

    A sequenced remediation plan with owner, effort, and impact — written in operator language, not a slide deck.

    // How we run it

    Seven days, fully in the open.

    One founder call, two engineers on our side, and roughly three hours of your team's time across the week. Here is the exact sequence.

    Day 0
    Intake
    A 45-minute working call plus read-only access to whatever you can share: repo structure, prompt library, agent definitions, model spend, incident history.
    Day 1–2
    Evidence sweep
    We map every place a model touches a customer, a secret, or a decision. Data flows, tool calls, retries, human-in-the-loop gaps, and who can approve what.
    Day 3–4
    Scoring
    Your posture is scored across governance, operating discipline, model usage, and velocity, then benchmarked against the YC-stage cohort we track.
    Day 5–6
    Remediation design
    Every finding gets an owner, an effort estimate, and an impact call — sequenced into 30 / 60 / 90 so you can start on Monday without a rearchitecture.
    Day 7
    Readout
    A 60-minute walkthrough with the founding team, plus the written 24-page document. No slideware, no reseller pitch, no follow-up sequence.
    // What's inside the document

    Eight chapters. 24 pages. No filler.

    01
    Executive verdict
    One page your investor can read. Score, top three risks, and the call.
    02
    Posture scorecard
    Four dimensions, sub-scores, and the peer benchmark band.
    03
    Risk register
    8 categories, each finding rated by likelihood, blast radius, and time-to-fix.
    04
    Data and prompt flows
    Where customer data enters a model, and where it leaves your control.
    05
    Agent and tool surface
    Every autonomous action, its authority, and its rollback path.
    06
    Operating-layer gap map
    Your current stack versus a production AI Operating Layer, component by component.
    07
    Cost and lock-in
    Model spend trajectory, vendor concentration, and portability cost.
    08
    30 / 60 / 90 plan
    Sequenced remediation with owners, effort, and expected posture delta.
    // What we usually find

    The same four gaps, almost every time.

    9 in 10

    of the AI-native teams we audit cannot produce an audit trail for an agent action taken 30 days ago.

    72%

    have production prompts that carry customer data into a third-party model with no redaction layer.

    2 of 3

    have no rollback path for an autonomous tool call — the only remediation is a code deploy.

    < 1 in 5

    can answer 'who approved this model going to customers?' with a name and a date.

    Aggregated and anonymised across the AI-native teams we have audited. Your report names the specific instance, the owner, and the fix.

    // Who it's for

    Founders already shipping with AI.

    YC W25 / S25 / W26 / S26
    Live during or right after the batch.
    Post-YC Seed → Series A
    Founders raising on the back of AI-native traction.
    Technical founders shipping with Claude or OpenAI
    You already wrote the agents. You need the layer underneath.
    // Where it leads

    The audit is a diagnostic, not a funnel.

    Most teams take the 30/60/90 and run it themselves. If you want help, these are the only three things we sell after it — priced in public.

    // The document

    Read the full 24-page audit.

    The sanitized document we deliver to founders — open, no form, no NDA, no email sequence. Take it, run it internally, and come back only if you want the work done with you.

    Open the PDF →
    // Optional · book your own audit

    Want the diagnostic run on your own stack? Tell us who you are — free for active YC batches, $7,500 fixed otherwise.

    // Questions

    Every question about pricing, deployment, governance, and platform mechanics lives on one page — filterable by theme.

    See the full FAQ →

    The AI Governance & Operating SystemGovern · Operate · Transform

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    One system to govern, orchestrate, and transform — across every team and industry.

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