Condition

    AI is retrieving your content. Is it ready?

    Your AI is only as trustworthy as the content it pulls from. We find where that content breaks trust, and build the system to fix it.

    The Pattern

    When AI deploys without a trust layer underneath, the same failure repeats.

    Chatbots. Knowledge base migrations. RAG search. AI help centers. Different projects, same failure.

    Terminology drifts. Outdated content surfaces with false confidence. Users get one wrong answer and stop trusting the system. Nobody owns the layer where it's happening.

    The problem isn't the model. It's what the model is reading.

    Core POV

    Your AI isn't hallucinating. It's faithfully retrieving content that was never built for retrieval.

    Free Entry Point

    Condition Signal

    Find out where your AI outputs are breaking trust, in minutes.

    9:41

    Condition Signal

    What your content reveals

    ████████████.com

    Finding

    CRITICAL
    Retrieval Fragmentation

    OBSERVED: Six distinct terms used for the core product across pages.

    Finding

    INVESTIGATE
    Model–Taxonomy Divergence

    OBSERVED: Structured templates populated with unmanaged terminology.

    Finding

    INVESTIGATE
    Deprecation Risk

    OBSERVED: No version signals to distinguish current from outdated.

    What You Get

    • Submit a URL, upload a doc, or paste text
    • Get instant findings: retrieval fragmentation, taxonomy drift, deprecation risk
    • No cost. No commitment. Just clarity.

    Paid Full-System Audit

    Condition Score

    A full-system evaluation of where your content operation will fail your AI deployment as it scales.

    Timeline

    5 days

    Investment

    $7,500

    Condition Score · Assessment01 / 24
    67out of 100

    Material Trust Gaps

    Pillar Breakdown

    / 100

    Accuracy
    58
    Ownership
    42
    Consistency
    71
    Traceability
    54

    Top Risk

    Approval workflows exist but aren't consistently followed.

    Estimated rework: 12 hrs / week

    Page 01 of 24Risk Map · Prescription →

    Sample Assessment Preview

    What You Get

    • Maps every gap between your current content layer and what trustworthy AI output actually requires
    • Surfaces ownership failures, drift patterns, and enforcement gaps across your entire operation
    • Delivers a prioritized roadmap tied to deployment risk, not content theory

    What the Score Reveals

    Where your AI is surfacing outdated or conflicting content as fact
    Where ownership is unclear and outputs are drifting from policy
    Where speed has outrun trust, and what it's costing you in adoption
    What the enforcement layer needs to look like to stop it

    Method

    01

    Signal

    Find where trust is already breaking.

    Stage 01
    02

    Score

    Map the full system before it fails at scale.

    Stage 02
    03

    System

    Build the entire trust layer that was never there.

    Stage 03

    Who This Is For

    AI is already in production and you don't own what it's saying
    Users or partners have flagged a wrong answer in the last 6 months
    You have an AI policy but no enforcement layer beneath it
    You need someone to own the trust infrastructure, not just advise on it

    Fractional Engagements

    Need someone to own this end to end?

    Some teams don't need a diagnosis. They need a person. Fractional content governance engagements are available for organizations that need a senior operator building the trust layer from scratch.

    Find out exactly where your AI deployment is breaking trust, and what it's costing you.

    Most teams don't find out until a user, partner, or auditor does. Let us find it first.