Enterprise AIVahue case study
−27% TTR
Production NOC agents reduced repeatable incident resolution time by 27% while recording zero unauthorized execution in UAT and staging.
AI that gives clinicians their time back — and keeps the care.
We build clinical and life-sciences AI agents that learn from your physicians and researchers — automating scheduling, prior auths, follow-ups, and evidence synthesis, with consent, minimization, and HIPAA-grade access controls built in.
From ambient documentation and prior authorization to clinical guideline surfacing and drug-discovery copilots — grounded on your data, deployed in your environment, and designed so the standard of care rises instead of drifts.
Trusted by teams at
The mandate
Turn patient and research data into action — without adding clinician burden.
Healthcare AI fails when it adds clicks. We design agents around the clinician's and researcher's actual workflow: ambient capture, guideline-grounded suggestions, structured drafts, and one-tap review — with every data flow gated by consent, role, and minimization.
What you get
- Ambient scribe + structured note agents aligned to your specialty and EHR.
- Prior authorization, referral, and follow-up automation with human sign-off.
- Clinical guideline surfacing with citations and patient-specific reasoning.
- Life-sciences research copilots: literature, trials, regulatory, and lab data.
- Private deployments inside HIPAA / GxP / HITRUST-grade environments.
Why it works
Why this approach wins.
01 · Principle
Clinician-first, not clinician-tolerated
Agents listen, draft, and suggest — clinicians approve. Every draft carries sources and rationale. No extra clicks just to get AI's opinion.
02 · Principle
Consent and minimization by construction
Role-based access, de-identification, and consent scopes are wired into the architecture, not bolted on. Audit-ready from day one.
03 · Principle
Research velocity, not research noise
In life sciences, we ground agents on literature, trial data, and regulatory context — with traceable evidence and reproducible outputs scientists can defend.
Outcomes
The outcomes we commit to.
−70%
documentation time
−50%
prior-auth TAT
3×
evidence review speed
100%
auditable access
Awards
Proud moments.
Top 1% on Clutch Global
Top AI Strategy Company 2025
Clutch Fall Champion 2024
Inc. 5000 Fastest Growing
Breakthrough of the Year 2019
Member of Forbes Tech Council
Voice & Speech Recognition 2024
Top Blockchain Company 2024
Innovators of the Year 2019
GoodFirms Top Company
Pain points
Do you recognize your team?
What's happening
- Clinician burnout and attrition are now board-level metrics.
- Prior auth and referrals are bleeding patient experience and revenue.
- Researchers are swamped by literature and trial data updates.
- Your compliance team needs AI governance that actually holds up.
- Competitors are shipping ambient and clinical AI while you're still in pilots.
How it feels
- Protective of patient safety and standard of care.
- Exhausted — clinicians are doing second-shift documentation.
- Cautious about AI hallucinations in clinical context.
- Frustrated that EHR modules "do AI" in name only.
- Hopeful that real relief is finally possible.
Where it hurts
- After-hours charting and documentation debt.
- Prior-auth and referral cycles measured in days.
- Disconnected systems: EHR, PACS, LIS, billing, CRM.
- Siloed research data across labs, studies, and vendors.
- Consent, minimization, and audit duties no one wants to own.
What we ship
Workstreams, real artifacts, measurable outcomes.
Every engagement decomposes into clear workstreams you can ship and measure. Here's the playbook for this segment.
Workstream
What it does
Deliverables
Outcome
01
Ambient scribe + notes
Listens to the visit and drafts a structured note the clinician approves in seconds.
- Ambient capture
- Specialty templates
- EHR write-back
- Review UX
−70% doc time
02
Prior auth & referrals
Agent composes, submits, and follows through prior auths and referrals with audit trails.
- Payer playbooks
- Grounded drafts
- Submission + tracking
- Exception workflow
−50% TAT
03
Guideline surfacing
Patient-specific suggestions grounded on your guidelines, protocols, and policy library.
- Guideline RAG
- Patient context hooks
- Citations
- Clinician review UX
+ care consistency
04
Follow-ups & scheduling
Automated outreach and scheduling for post-visit, chronic care, and no-show recovery.
- Outreach agent
- Scheduling hooks
- Consent + opt-out
- Ops dashboard
−30% no-shows
05
Research & evidence copilot
Literature, trial, lab, and regulatory Q&A with citations — for researchers and MSLs.
- Evidence RAG
- Trial + lit connectors
- Reproducibility pack
- Role-based access
3× review speed
As seen in
After-state
What changes on the other side.
Clinicians leave on time with notes signed. Prior auths clear in hours, not days. Researchers navigate literature and trial data with traceable evidence. Every AI interaction is logged, minimized, and consent-scoped — your compliance team sleeps.
How it feels
RelievedTrustedProud of patient outcomesIn control of riskScientifically confident
What becomes possible
- 01Give clinicians back an hour a day without compromising the standard of care.
- 02Turn revenue-cycle bottlenecks like prior auth into a solved workflow.
- 03Compress research and regulatory cycles with grounded, reproducible evidence.
Concerns, answered
The usual concerns — handled.
Concern 01
“We can't send PHI or patient data to public LLMs.”
You don't have to. We deploy inside your HIPAA-grade environment (AWS/Azure/GCP private tenants or on-prem), with de-identification and access scopes enforced at the architecture level.
Concern 02
“AI hallucinations are unacceptable in a clinical setting.”
That's exactly why we ship grounded agents with citations, confidence, and a clinician-in-the-loop UX. No suggestion reaches the chart without review and source.
Concern 03
“Our EHR vendor says they're doing all this already.”
Some of it. We layer on top of Epic / Cerner / Meditech where they stop — custom workflows, specialty-specific drafts, and cross-system agents the vendor won't build.
Concern 04
“GxP / FDA scrutiny will slow any AI down in life sciences.”
We design for GxP, 21 CFR Part 11, and reproducibility from day one — data lineage, versioning, audit, and validation packs are part of the build, not an afterthought.
Alternatives
Why us and not…
EHR-native AI modules
Broad but shallow. We build into the workflow and specialty that the EHR leaves generic.
Ambient-scribe startups
Often a single point product. We extend ambient capture into prior auth, follow-ups, and research.
Big-4 healthcare consulting
Great roadmaps, thin on production AI. We hand you running agents, not PowerPoints.
Founder & team
Senior humans,
AI-native craft.
100+
people trained
20+
companies transformed
9.4/10
avg. workshop rating
96%
AI adoption in 7 days
Talk to the founder
Mike Doroshenko
Product strategist and AI consultant with 10+ years of digital product strategy and AI transformation. Author of corporate training programs used by leading companies.
Supported by 15+ experts
from McKinsey, Google, and top tech companies.
Delivery outcomes.
Measurable results from products and AI systems delivered by Vahue.
Blog
Perspectives that matter.
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Contact
We're here to deliver
Tell us where you are and what you're trying to ship. We reply within 24 hours with a diagnosis, a shortlist of quick wins, and the smallest next step we'd recommend.
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