Clear ownership. Shared buy-in. Calm escalations. Decisions that hold under pressure.

I help health-tech and AI teams make accountable decisions when stakes are high.

Kanav Jain

As teams scale, ambiguity quietly becomes operational risk.

I clarify who decides, who escalates, and who resolves issues when systems are under strain.

Every decision has a named owner
Every change has an adoption path
Every escalation has a clock
Every failure has a repair path

How I work: I design clear operating rhythms so teams can align quickly, absorb change safely, and resolve issues before they compound.

Start a conversation

Human oversight Clinician-in-the-loop review

What engagement looks like

From diagnosis to install

Most scaling failures are custody failures.

Many teams only see this clearly after their first meaningful stress test.

01

Scope the pressure point

Choose one workflow, one risk class, and one owner to anchor the work.
02

Trace custody

Map who can decide, override, freeze, and escalate in that path.
03

Install controls

Ship the first decision-rights updates, reversal SLAs, and escalation timing rules.
04

Rehearse incidents

Run tabletop scenarios so leadership and operators practice the same sequence.
05

Lock operating rhythm

Set 30/60/90-day review cadences with explicit owners and measurable signals.

Specimen: custody table excerpt

Sample decision custody table
Decision	Owner	Reversal SLA	Escalates to
Pause model-generated outreach	Clinical operations lead	15 minutes	On-call risk lead
Approve high-risk override	Licensed reviewer	30 minutes	Medical director
Rollback workflow release	Product owner + SRE	60 minutes	Incident commander
Reopen blocked case path	Care navigation manager	4 hours	Head of care ops

These system gaps affect real people first: patients, users, and frontline teams.
I'm most useful when informal coordination has stopped being safe.
When governance is explicit, enterprise trust grows faster, board communication gets clearer, political drag drops, and teams decide with more confidence under stress.

Evidence

Selected outcomes and delivery evidence

Selected outcome Doximity Dialer: 100M+ patient–clinician connections with HIPAA-conscious trust design See how it worked in practice →

Selected evidence and operating credentials
Scale in regulated environments	100M+ patient–clinician connections with trust controls in production
Selected organizations	Georgia Tech BME · NYU Stern MBA · Epic · Doximity · Transcarent
Operating focus	Director-level care ops and compliance-aware product leadership

Doximity Dialer

HIPAA-conscious caller ID workflow that reduced routing friction
View case study →
Transcarent

Care navigation systems with accountable handoffs
View case study →
Andwise

Scaled advisor and clinician inputs into practical decision support
View case study →

Pick the path that matches your team

Start with the context closest to your current pressure point.

Tools

How I work

The practical tools I use with teams.

Practical patterns that help teams scale safely without slowing delivery.

Week 1: Interview leadership and review frontline workflows
Week 2: Map decision ownership, escalation friction, and override points
Week 3: Deliver risk map plus specific structural and adoption changes

See full deliverable details →

Week 4: Coach owners through rollout sequencing, feedback loops, and handoff rituals
Optional: Board-ready memo for investors and executive teams

Use clinical-risk evidence, not checkbox compliance. Every recommendation is tied to an owner, a workflow change, an adoption mechanism, and a measurable risk reduction target.

Risk tiering Clinical risk ladder

Failure modes → controls Eval coverage map

Case studies + operating notes