Condition

    AI is moving faster than the systems built to manage it.

    We surface where your AI outputs break. Then we build the system that prevents it.

    Selected Partners

    Amazon Sustainability
    Aetna Health
    Twitch
    Surescripts
    HCL Health
    Lululemon
    Beem
    BMO
    Telus
    Mitsubishi
    Amazon Sustainability
    Aetna Health
    Twitch
    Surescripts
    HCL Health
    Lululemon
    Beem
    BMO
    Telus
    Mitsubishi
    Amazon Sustainability
    Aetna Health
    Twitch
    Surescripts
    HCL Health
    Lululemon
    Beem
    BMO
    Telus
    Mitsubishi

    The Problem

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

    The pattern shows up across every deployment:

    Outdated content surfaces with speed and false confidence
    Users get one wrong answer and route around the system entirely
    Outputs drift from what policy says they should say
    Nobody owns the layer where that's actually happening

    Outputs that are inaccurate, unowned, inconsistent, or untraceable don't just create risk. They destroy adoption.

    Core POV

    AI doesn't have a content problem. It has a trust problem.

    Condition treats trust as a system property, not a one-time check.

    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    OBSERVED: No version signals to distinguish current from outdated.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

    $4,200

    Condition Score · Assessment01 / 06
    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 06Risk 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 You Walk Away With

    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

    02

    Score

    Map the full system before it fails at scale

    03

    System

    Build the entire trust layer that was never there

    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. We find it first.