Health Tech Consulting

Where strategy
meetsreal execution.

Consulting for health tech companies navigating enterprise — from go-to-market and product strategy to AI implementation and analytics. A small firm that punches above its weight.

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What We Do

End-to-end,
without the
overhead.

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Most engagements need more than one type of thinking. We work across strategy, product, analytics, and AI — bringing senior judgment wherever it's needed most.

Go-to-Market Product Strategy Data & Analytics AI Implementation Fundraising Enterprise Sales

Who We Work With

Health tech companies at a turning point.

We work best with founders and teams who are serious about growth — whether that means cracking enterprise for the first time, rebuilding what's stalled, or figuring out where AI fits.

Our team's background spans both sides: inside health systems and payers, and inside startups. That combination shapes how we think about every problem.

01

Early Stage

Landing your first enterprise contracts

Clear GTM, right pricing, and a pitch that lands with health system and payer buyers.

02

Growth Stage

Scaling what's already working

We help identify what's blocking scale — in product, process, or data — and build the infrastructure to move faster.

03

AI-Forward

Building AI into your product

Strategy for where AI fits, what to build vs. buy, and how to do it in a way enterprise healthcare will trust.

About AIHealthTech

Knowing both worlds
is the advantage.

AIHealthTech is a boutique firm built on one principle: the best health tech advice comes from people who've actually been on both sides of the deal — inside enterprise, and inside startups.

Our team has worked inside health systems and payers, where we learned how decisions really get made. And inside startups, where we learned what it takes to build, sell, and survive.

Meet the team →
Both.
Enterprise and startup experience — health systems, payers, early-stage companies
Strategy
through Build
From go-to-market and fundraising through to product development and AI deployment
Flexible.
Fractional, project-based, or advisory — scoped around where you need the most leverage

Let's
talk.

Engagements start with a conversation. No deck required — just tell us what you're working through.

Email us

Services

What we
bring.

Most engagements need more than one type of thinking. You can't separate GTM from product, or strategy from analytics. AIHealthTech works across all of it — bringing senior-level judgment wherever you need it most.

01

Go-to-Market & Commercial

The commercial foundation that determines whether you break through or stall out in enterprise healthcare.

  • GTM strategy & launch
  • Positioning & messaging
  • Pricing & packaging
  • Enterprise sales motion
  • Fundraising & investor narrative

02

Product Strategy & Build

From roadmap to shipped product — designing and building what enterprise health buyers will actually adopt.

  • Product strategy & roadmap
  • AI-native product development
  • Enterprise workflow & integration
  • Build vs. buy decisions
  • Technical scoping & delivery

03

Data & Analytics

Metrics strategy and analytical infrastructure to understand what's working — and build on it deliberately.

  • Metrics design & KPI strategy
  • Revenue & pipeline analytics
  • Clinical & operational data
  • Experimentation frameworks
  • Investor-grade reporting

04

AI Strategy & Implementation

AI that works within the real constraints of healthcare — compliance, clinical trust, workflow fit. Strategy through deployment.

  • AI use case prioritization
  • LLM & ML product integration
  • Healthcare AI compliance
  • AI-powered automation
  • Vendor & partner evaluation

How We Work

Embedded,
not adjacent.

We work like senior operators who happen to be available — not consultants who show up with a deck and disappear.

01

Understand the actual problem

Before strategy, we diagnose. We spend time in your business — your data, your deals — to understand what's really blocking growth.

02

Apply enterprise-specific judgment

Enterprise health is its own world. Procurement cycles, clinical champions, IT security, budget timing. We bring pattern recognition that only comes from living inside it.

03

Build for your team to own

We're not building dependency. Every engagement ends with frameworks, playbooks, and processes your team can run independently.

04

Stay accountable to outcomes

We measure success by what moves — signed contracts, closed rounds, shipped products. Not deliverables. Not slides. Outcomes.

Our Team

Neha
Patadia

Founder & Managing Principal — AIHealthTech LLC

Boutique health tech consulting, led by someone who's been on both sides of the table — inside enterprise healthcare and inside the startups trying to sell into it.

Neha Patadia

Founder & Managing Principal

Neha founded AIHealthTech after watching a recurring pattern play out across health tech: companies with real products and genuine potential stalling out because their strategy, sales motion, and data infrastructure weren’t built to work together. The advice they were getting was either too junior, too theoretical, or too siloed to fix it.

Her background is rare because she’s been on both sides of the table. She’s carried a McKinsey analytical toolkit into payer boardrooms at Premera, navigated clinical complexity at Seniorlink, and rolled up her sleeves at 0–1 startups like One Drop, FounderNexus, and Datum — where the margin for slow iteration is zero. That range is rare. And it’s what makes the advice actually land.

AIHealthTech is built around that dual perspective. When the work calls for it, she draws on a curated network of specialists — data scientists, clinical experts, and technologists — brought in precisely and intentionally.

Neha holds an MS in Health Informatics and Economics from Cornell and a BS from UC San Diego.

Areas of expertise

Go-to-Market StrategyEnterprise SalesProduct StrategyAI ImplementationPricing & PackagingFundraisingData & AnalyticsHealth SystemsPayer Strategy

Partner Network

We collaborate with a trusted network of specialists — bringing in exactly the right expertise for each engagement, without the overhead of a large firm.

Y PointANALYTICS SeaHealthTECH >_exactlyLABS FluidLABS FounderNEXUS UmbrexCONSULTING The LeapSTUDIO Y PointANALYTICS SeaHealthTECH >_exactlyLABS FluidLABS FounderNEXUS UmbrexCONSULTING The LeapSTUDIO

Work

Selected
Projects.

A selection of consulting engagements across strategy, product, analytics, and AI. Details kept general to respect client confidentiality.

StrategyGTM

Enterprise GTM for a Value-Based Care Platform

End-to-end go-to-market strategy for a Series A company targeting regional health systems. Defined ICP, redesigned pricing, built the enterprise sales playbook.

First enterprise contract in 90 daysFractional
AIProduct

AI-Powered Clinical Documentation Tool

Product strategy and build for an LLM-powered documentation assistant for ambulatory care. Scoped compliance, designed architecture, managed delivery.

Deployed across 3 clinic sites in pilotProject
Analytics

Revenue Analytics for a Payer-Facing Startup

Built metrics strategy and analytics stack. Designed KPI framework, pipeline dashboards, and investor-grade reporting for Series B fundraise.

Used directly in Series B fundraiseProject
StrategyFundraising

Fundraising Narrative & Investor Materials

Investor story, pitch deck, and data room for a digital health startup raising seed. Refined positioning to emphasize enterprise traction and defensibility.

Oversubscribed seed round closedAdvisory
ProductAI

AI Strategy for a Health Plan Technology Team

Advised a payer technology team on AI use case prioritization, build vs. buy, and vendor evaluation. Produced a phased roadmap aligned to operational priorities.

Roadmap adopted by exec leadershipAdvisory
AnalyticsStrategy

Pricing Redesign for a Care Navigation Platform

Rebuilt pricing and packaging for a startup selling to employer groups and health systems. Competitive analysis, willingness-to-pay research, contract structure.

ACV increased 40% on new dealsProject
AnalyticsAIClinical

Causal AI Analysis of Cardiology Medication Outcomes

Partnered with one of the largest health systems in the world to build a causal inference framework analyzing downstream outcomes of cardiology medication protocols. Used advanced causal AI methods to isolate true treatment effects from observational data — cutting through confounding variables that traditional analysis misses.

6-year increase in projected patient lifespanAnalytics