Founder-led systems design for healthcare and AI teams operating under real-world pressure.

Founder-operator and systems architect designing high-stakes decision infrastructure for healthcare and AI teams.

I turn policy, macro volatility, and safety constraints into operating defaults teams can follow.

Product to board-level operations: I design how systems behave, how humans intervene, and how teams recover from failure fast.

I also write about systems, burden, and neurodiversity at Ethotechnics and The Crumple Zone.

  • Founding product lead for Doximity Dialer at 100M+ clinician-to-patient calls and 300K+ clinician users
  • Co-founder & CEO experience: company-building, operating model design, and cross-functional execution cadence

At a glance: I translate abstract risk into executable system behavior: guardrails, intervention points, and repair paths teams can follow under pressure.

Portrait of Kanav Jain
Clinician-in-the-loop review A clinician and model co-review moment showing human judgment staying in control.
Human oversight Clinician-in-the-loop review

Evidence

Selected outcomes and delivery evidence

Selected outcome Doximity Dialer: 100M+ clinician-to-patient calls with HIPAA-conscious trust design See how it worked in practice →
Selected evidence and operating credentials
Scale in regulated environments 100M+ clinician-to-patient calls completed via Doximity Dialer, with production trust controls teams could inspect and improve
Executive and founder credentials Founder & CEO (Andwise) · Director-level product leadership (Doximity, Transcarent) · operator governance under regulated constraints
Ecosystem authority Built Andwise with a 60-member medical advisory board and mentor founders through the Techstars Northwestern Medicine Healthcare Accelerator
  • Doximity Dialer

    HIPAA-conscious caller ID workflow that reduced routing friction

    View case study →
  • Transcarent

    Care navigation systems with reliable handoffs and clear intervention patterns

    View case study →
  • Andwise

    Built and governed a 60-member medical advisory board with explicit decision ownership

    View case study →

Active ventures & R&D

Building what comes next, not only reflecting on what shipped

Current projects focused on decision infrastructure, resilience, and accountable clinical support under uncertainty.

Active venture

NextConsensus

I'm building NextConsensus, a healthcare decision-intelligence company focused on the window where evidence is hardening but institutional policy hasn't caught up. The first offer is intentionally manual: Claim Stability Briefs for coverage, formulary, and market-access teams reviewing disputed healthcare claims. Each brief evaluates one claim in one decision window and asks whether it can still be challenged, where the argument is vulnerable, and what should trigger re-review. The manual work isn't a detour from the product — it's how the judgment layer gets built before automation.

  • Claim Stability Briefs — one claim, one decision window, one source-backed answer
  • Coverage, formulary, and market-access re-review for disputed healthcare claims
Open NextConsensus →

Concept & technical scoping

Whether

A translation engine for converting macroeconomic indicators into practical operating guardrails so teams can adjust risk posture before disruption compounds.

  • Signal translation from macro conditions to team-level constraints
  • Real-time guardrail updates for systemic resilience
Open Whether →

Systems research & field notes

Frameworks for behavior that stays understandable and fixable

From Ethotechnics to production policy design, this work shows how teams make system behavior visible, diagnosable, and correctable under real-world pressure.

Systems framework

Ethotechnics

A method for mapping burden, system behavior, and failure transfer in algorithmic and organizational systems so teams diagnose and repair faster.

Explore framework →

Field writing

The Crumple Zone

Essays and operator notes on system behavior, escalation design, and the moral physics of automated systems.

Read essays →

Policy proposal

Proof-Based Governance for Algorithmic and Automated Systems (v1.2)

A proposal for making automated decisions understandable, inspectable, and correctable in production.

v1.2 · April 2026 · Policy draft

Review proposal context →

Writing

Latest writing

Plain-language essays and operator notes from shipping healthcare workflows under load.

Contact

If you'd like to continue, here's one way forward.

Share the bottleneck you're facing, and I'll reply with a practical first step.

Tell me the single change most likely to unblock progress, and I'll recommend the next move.