{
  "name": "Kanav Jain",
  "url": "https://kanav.net",
  "email": "kanav@kanav.net",
  "location": "Chicago, IL — open to relocation",
  "summary": "I build accountability infrastructure for AI decisions — evidence-traceability systems, reconsideration control layers, and override architecture. 17 years shipping production software across healthcare, physician communication, and care navigation.",
  "expertise": [
    "AI Governance",
    "Evidence Traceability",
    "Clinical Decision Support",
    "Reconsideration Control",
    "Override Architecture",
    "Healthcare AI Safety",
    "Institutional Commitment Tracking"
  ],
  "frameworks": [
    {
      "name": "Explainable / Challengeable / Correctable",
      "description": "Decision-readiness tests for AI decisions. Maps to NIST AI RMF and EU AI Act.",
      "url": "https://kanav.net/framework/"
    },
    {
      "name": "Governance Operating Model",
      "description": "Authorization states, reconsideration loops, escalation matrix, holdout controls.",
      "url": "https://kanav.net/governance/"
    }
  ],
  "career": [
    {
      "role": "Founder",
      "organization": "NextConsensus",
      "period": "2024–present",
      "summary": "Evidence-triggered reconsideration control for healthcare claims. Frozen-forecast scoring, provenance tracing, disposition records."
    },
    {
      "role": "Founder",
      "organization": "Ethotechnics",
      "period": "2024–present",
      "summary": "Governance operating system for making AI decisions explainable, challengeable, and correctable in production."
    },
    {
      "role": "Writer and Researcher",
      "organization": "The Crumple Zone",
      "period": "2024–present",
      "summary": "Essays on AI governance, institutional power, asymmetric irreversibility, and cognitive scarcity."
    },
    {
      "role": "Co-Founder and CEO",
      "organization": "Andwise",
      "period": "2022–2024",
      "summary": "Physician financial wellness. 1,200+ users, 700-member community, 50+ physician advisory board, $240K raised."
    },
    {
      "role": "Director of Product, Care Experiences",
      "organization": "Transcarent",
      "period": "2021–2022",
      "summary": "Surgery, Urgent Care, Behavioral Health, Oncology Care navigation. Managed product managers across all programs."
    },
    {
      "role": "Director of Digital Products & Strategy",
      "organization": "CancerCompass / CTCA Marketplace",
      "period": "2019–2021",
      "summary": "30MM annual visitors. Bounce rate -25%, chat conversions +267%. Acquired by City of Hope."
    },
    {
      "role": "Product Manager (early Dialer lead)",
      "organization": "Doximity",
      "period": "2013–2017",
      "summary": "Dialer: verified caller ID for clinician-to-patient calls. 110M+ calls from 300K+ clinicians. iOS reviews 3.7→4.8 stars."
    },
    {
      "role": "Implementation Engineer",
      "organization": "Epic",
      "period": "2012–2013",
      "summary": "EHR workflow configuration, alert fatigue reduction, federal incentive programs."
    }
  ],
  "education": [
    {
      "degree": "B.S. Biomedical Engineering (with honors)",
      "institution": "Georgia Tech",
      "year": "2012"
    },
    { "degree": "MBA", "institution": "NYU Stern", "year": "2019" }
  ],
  "caseStudies": [
    {
      "id": "verified-caller-id",
      "title": "Identity verification that made telehealth answering possible",
      "organization": "Doximity",
      "timeframe": "2013–2017",
      "summary": "Patients ignored calls from unknown numbers. Dialer showed verified office caller ID — HIPAA-safe.",
      "relevanceToAI": "When a system decides what identity to present, that decision has to be traceable and correctable — the same constraint that applies to clinical AI at scale.",
      "outcomes": [
        "110M+ clinician calls",
        "iOS reviews 3.7→4.8 stars",
        "Spoofing reports below carrier threshold"
      ],
      "url": "https://kanav.net/work/case-studies/verified-caller-id/"
    },
    {
      "id": "care-navigation",
      "title": "Routing rules that made care navigation accountable",
      "organization": "Transcarent",
      "timeframe": "2021–2022",
      "summary": "Unified member record, clinician-led routing rules, completion dashboards across Surgery, Urgent Care, Behavioral Health, Oncology.",
      "relevanceToAI": "AI-generated care recommendations only work if the system makes ownership visible — who owns the next step, how to escalate, and what happens when the recommendation conflicts with clinical judgment.",
      "outcomes": [
        "Exception queue reduced via visible ownership",
        "Care plan completion rates converged",
        "Routing delays resolved"
      ],
      "url": "https://kanav.net/work/case-studies/care-navigation/"
    },
    {
      "id": "fiduciary-planning",
      "title": "Review routing and escalation for physician-facing financial guidance",
      "organization": "Andwise",
      "timeframe": "2022–2024",
      "summary": "Medical advisory board (50+ physicians), review routing, escalation clocks, accountable sign-off for financial guidance.",
      "relevanceToAI": "Advice systems in regulated domains need human review checkpoints, provenance records, and escalation paths — the same product architecture that applies to clinical AI recommendations.",
      "outcomes": [
        "Turnaround: days→hours",
        "1,200+ physician users",
        "Trust scores rose as provenance became visible"
      ],
      "url": "https://kanav.net/work/case-studies/fiduciary-planning/"
    }
  ],
  "concepts": [
    {
      "term": "Constraint Realism",
      "definition": "Ethics is real only when it exists as a hard constraint on what actions remain available.",
      "relevanceToAI": "A safety principle that can't block a revenue-generating feature isn't a constraint."
    },
    {
      "term": "Governance by Attrition",
      "definition": "When a system manages scarcity not by saying 'no,' but by waiting for the applicant to give up.",
      "relevanceToAI": "Describes the failure mode where AI systems wear down users through friction instead of making explicit decisions."
    },
    {
      "term": "Asymmetric Irreversibility",
      "definition": "Modern institutions have automated the power to suspect, but not the power to exonerate.",
      "relevanceToAI": "Core AI safety concern: automated decisions that are easy to make but impossible to reverse."
    },
    {
      "term": "Error Survivability",
      "definition": "The degree to which a person can absorb or reverse a wrong decision before their life comes apart.",
      "relevanceToAI": "Measures how badly a wrong AI decision damages the person it affects."
    },
    {
      "term": "Cognitive Scarcity",
      "definition": "A temporary drop in mental bandwidth caused by stress, fatigue, or distraction.",
      "relevanceToAI": "Override and challenge interfaces must work when the operator is stressed, tired, or distracted."
    },
    {
      "term": "Care Subsidy",
      "definition": "The extraction of unpaid diligence from conscientious employees to bridge the gap between resource allocation and safety requirements.",
      "relevanceToAI": "If safe deployment depends on individuals manually catching failures, the system is under-designed."
    }
  ],
  "links": {
    "site": "https://kanav.net",
    "framework": "https://kanav.net/framework/",
    "governance": "https://kanav.net/governance/",
    "concepts": "https://kanav.net/concepts/",
    "writing": "https://kanav.net/writing/",
    "nextconsensus": "https://nextconsensus.com",
    "ethotechnics": "https://ethotechnics.org",
    "linkedin": "https://linkedin.com/in/kanavjain",
    "github": "https://github.com/zz-plant"
  }
}
