AI Adoption
Most AI products in healthcare don’t fail because the model doesn’t work, they fail because workflows don’t change, buyers don’t trust the output, and adoption isn’t designed. That’s the gap we close.
Notenda focuses on the moment AI meets real users. We diagnose what’s blocking adoption, design experiences that earn trust, and integrate AI into workflows where it actually moves work.
Our work is grounded in 2,000+ interviews and deep, firsthand insight into how healthcare decisions are made.
Health-System EHR Vendor
Clinical Records → Conversational Insight
We took fragmented health history and turned it into a conversational AI experience that surfaces clinically relevant insight in plain language. Adopted by 75% of clinicians in the study sample across primary care pediatric settings.
Top-10 Pharma Brand Team
AI-Assisted MLR — Cycle Time Down 63%
A generative-AI workflow that drafts brand, medical, legal, and regulatory-aligned content and routes it through review. Cut MLR cycle time from 12 weeks to 3 weeks without expanding headcount.
Series-C Consumer Health Brand
Voice of Customer at Scale
Structured tens of thousands of consumer signals into a queryable insight graph the product team uses weekly to prioritize releases. Two product launches in 7 months versus the prior baseline of one release per year.
Our Methodology
AI gets adopted when three things line up:
- A real problem worth solving
- A workflow that actually accommodates the change
- A user who trusts the output.
We move sequentially through all three.
First, we go outside the building, using structured interviews our team conducts with clinicians, patients, and operators who will live with your product to find the adoption barriers no one inside the company can see.
Then our team designs the product experience that defuses those barriers, drafts the integration into the workflow the buyer’s organization can actually run, and builds the trust signals: evals, governance, evidence, that make the output deployable.
WHERE WE WORK
FOUR FLAVORS OF AI ARE BEING DEPLOYED IN HEALTH RIGHT NOW - WE’VE COMMERCIALIZED ALL FOUR.
agentic
Multi-step copilots and AI agents that take action inside clinical, research, and optational workflows.
Examples: clinical copilots in the EHR · prior-auth agents · trial-protocol drafting · AI scribes · autonomous research assistants
Generative
AI that produces structured, audit-ready content where humans previously did the writing.
Examples: clinical summarization · MLR-ready brand & medical content · patient education materials · structured-output extraction from unstructured records
Predictive
Models that score risk, forecast outcomes, and triage cohorts to drive earlier intervention.
Examples: readmission risk · disease progression · adherence forecasting · cohort outcomes prediction · responder / non-responder identification
contextual
AI that fires the right intervention at the right moment, in the right environment.
Examples: just-in-time clinical decision support · in-workflow nudges · geo- and event-triggered patient outreach · dynamic product UI based on user state
Case Studies
We have already solved the problems you are trying to solve now. See our work in action.
And we use it, too.
Notenda is an AI-empowered firm.
Our methodology is founded on getting outside the building – at a scale we’re told is unmatched in our category. So we use AI as another outside source to inform our work from time to time.
When the team activates AI to assist with a problem, we validate hypotheses against patterns we’ve seen before, surface frames worth considering, and inspire candidate insights and solutions that drive adoption.
The work is the team’s. AI is a tool we activate when it accelerates the thinking – never the other way around. Every recommendation that leaves Notenda is shaped and validated by our team. Informed by AI when useful, never generated by AI in place of the work.
START HERE
30-Day Commercial Readiness Sprint
A validated diagnosis of what’s blocking growth — and a prioritized, board-ready action plan to fix it. Whether you’re preparing for launch, facing slower-than-expected adoption, or building your Series B story, this is where we start.
$30K
Results in 30 days
FIXED FEE