Product leadership in healthcare and finance.

Contact Kanav via email

Product leadership for healthcare-grade AI systems built to earn trust under pressure.

Kanav Jain

Alignment-minded product leadership for high-stakes AI teams.

I help healthcare and AI teams ship systems that still work when reality hits.

  • Translate model failure modes into patient risk, ownership, and controls.
  • Design escalation paths with clocks, refusal modes, and audit-ready logs.
  • Ship evals and guardrails that hold up outside the lab.
Why this approach

I help teams turn intent into daily operating reality: clinical evals tied to patient risk, clear decision ownership, and recovery paths that work at 3am. I map failure modes to real-world impact, design escalation paths that leave evidence, and build review loops clinicians will actually use.

Email Kanav View work →

Quick start

Portrait of Kanav Jain
Clinician-in-the-loop review A clinician and model co-review moment showing human judgment staying in control of decisions.
Human oversight Clinician-in-the-loop review
Safety case stack A layered safety case: intent, policy, evals, guardrails, escalation, audit logging, and the learning loop.
Safety case Safety case stack

Mobile quick start

Get to the signal faster

Clear paths for the most common intents on a phone: contact, proof, and how the work runs.

Patient reach

100M+ patient–clinician connections across clinical workflows

Audit-ready

Policy checks, approvals, and overrides leave evidence you can show

Incident learning

Postmortems feed evals and guardrail updates with clear owners

Proof points

Signals from the field

The numbers and outcomes that back the work.

Proof 100M+ patient–clinician connections enabled (since 2020) See the outcomes →
  • Clinical safety cases Model behavior mapped to patient risk, not just benchmarks or demos
  • Operational trust Incidents, overrides, audits, and regulator questions handled without chaos

Patient reach

100M+ patient–clinician connections across clinical workflows

Audit-ready

Policy checks, approvals, and overrides leave evidence you can show

Incident learning

Postmortems feed evals and guardrail updates with clear owners

The Proof

Portfolio

Why this matters

A quick scan of the teams and outcomes I have led.

Product leadership

Doximity

Scaling clinical communication with safety rails.

  • On-call clinician workflows that reduced routing friction
  • Trust and delivery metrics with audit-friendly logs
View case study →

Platform strategy

Transcarent

Consumer-directed health experiences with clear escalation paths.

  • Care navigation systems with accountable handoffs
  • Experience design for payers with measurable outcomes
View case study →

Founder

Andwise

Financial immunization for doctors with transparent guardrails.

  • Debt and savings products with clear decision rules
  • Clinical finance tooling built for trust
View case study →

Choose a trail

Follow the thread that fits your role.

Common triggers

When teams reach out

Short signals that show a system needs binding.

Methodology

How I Think

Why this approach

The research practice behind my product decisions.

My product work is grounded in Ethotechnics—applied research on decision quality, escalation paths, and reliable recovery. In plain terms: define how a system should behave under stress, then build the controls to make that true.

The principles below define how I evaluate risk, design guardrails, and support teams.

  • Reversibility by default
  • Binding decisions and decision rights
  • Clinical risk evidence, not safety theater
See the full framework →
  • Auditability through instrumentation and logs clinicians trust
  • Escalation authority that can actually intervene

I evaluate systems by their failure modes: how quickly issues are detected, who can intervene, what patient risk is created, and whether the organization learns fast enough to prevent repeats.

Clinical risk ladder A severity-by-autonomy matrix that maps control strength to the patient harm potential of a model action.
Risk tiering Clinical risk ladder
Eval coverage map Failure modes linked to evals and mitigations so safety plans trace cleanly from risk to control.
Failure modes → controls Eval coverage map
Decision rights map A compact governance map showing which roles can ship, override, halt, and audit the system.
Decision rights Decision rights map
Ethotechnics bridge diagram A minimalist bridge arch connecting two dots, representing steady decision pathways.

Ethotechnics

Safety cases for AI that touches reality

Enter the Bridge →

Full-Stack Context

Full-Stack Context.

Why these lenses

Three lenses that connect my engineering roots to product and systems leadership.

The Engineer

Focus: The Code

I started in bioengineering, which taught me to treat constraints as design inputs and to turn ambiguity into measurable systems.

The Founder

Focus: The Product

I build tools that survive contact with operations—pairing ambition with ownership, instrumentation, and accountability.

The Theorist

Focus: The System

I study how institutions allocate time, delay, and decision authority—and translate that into decision rights, eval plans, and escalation maps teams can run.

Writing

Latest writing

Essays, notes, and audits on building trustworthy systems.

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Updated Jan 2026 · 20 total essays

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