For healthcare & life sciences
Governed AI for organizations that can't move fast and break things.
Hospitals, biopharma, and healthtech need AI that turns pilots into production-grade systems respecting PHI, not another demo no one can put in front of clinicians or compliance. We help you adopt agentic workflows and LLMs without losing control.
- Deploy AI solutions for healthcare that respect PHI from day one.
- Align every initiative with your security, compliance, and clinical governance.
- Built for organizations in the $50M–$500M range who need focus.
Aligned to CMS AI governance guidance · 2026
EHR & lab data
→ Epic · Cerner · FHIR / HL7
Clinical notes & protocols
→ PHI-aware ingestion
Governed LLM agent
→ Scoped access · logged
Agentic workflow
→ Human-in-the-loop
Audit & compliance layer
→ BAA · trail · sign-off
Governed, HIPAA-aligned, and production-ready from day one.
Who we work with
From academic medical centers to biopharma R&D and digital health.
Four kinds of healthcare and life-sciences organizations, one common need: AI that survives contact with clinical and compliance reality.
Hospital systems & academic medical centers
- Clinical operations, quality, and patient-flow workflows.
- Documentation, summarization, and intake workflows with human-in-the-loop.
- Governed AI initiatives that must align with clinical and compliance committees.
Biotech & pharma R&D
- Trial startup, protocol review, and knowledge management assistants.
- Data-heavy workflows that need AI, but must stay compliant and auditable.
- Internal copilots for scientific literature and reports.
Healthtech & digital health scale-ups
- Companies building AI-powered products in regulated or semi-regulated spaces.
- Need to show customers and investors strong governance and reliability.
- Benefit from outsourced AI operations and governance expertise.
Regional providers & specialty networks
- Regional hospital networks, clinics, or specialty providers with limited in-house AI teams.
- Need focused, governed automation and AI, not a full internal platform team.
The reality
The AI reality in healthcare & life sciences.
The same conversations, every week, with leaders in regulated care and research.
What we see across the industry
AI pilots that never make it to production. Exciting demos, but the path to reliable deployment respecting PHI is unclear.
Fear around PHI/PII leakage. Black-box models no one can explain to compliance or clinical leadership.
Disconnected efforts. IT, clinical ops, and compliance teams each moving at different speeds with different expectations.
Pressure to "do AI." From leadership, without adding avoidable risk or burning budget on vendors who overpromise.
Sound familiar?
We have multiple AI experiments, but no cohesive roadmap.
Compliance is nervous about where data goes and how models behave.
Vendors talk about AI, but can't explain deployment and governance.
Our clinicians and researchers don't trust AI outputs yet.
We don't know how to classify or track our AI systems.
Kriv AI exists specifically to address these pains for healthcare & life sciences, not to retrofit a generic AI playbook onto a regulated environment.
How we help
Five ways we move healthcare AI from experiment to governed service.
Each one is designed with healthcare's unique requirements, PHI, audit, and clinical sign-off, built in, not bolted on.
AI Readiness & Governance Assessment
Map your current AI pilots, data readiness, and PHI risk. Identify where and how AI can safely go into production.
AI Readiness & GovernanceAgentic AI & Automation
Design agentic workflows for scheduling, documentation, intake, supply chain, or revenue cycle, with guardrails.
Agentic AI & AutomationLLM Fine-Tuning & Custom Models
Tune models on your clinical guidelines, SOPs, protocols, and internal knowledge with proper deployment patterns.
LLM Fine-Tuning & Custom ModelsMLOps & Governance-as-a-Service
Keep your healthcare AI stack monitored, governed, and explainable to clinical and compliance stakeholders.
MLOps & Governance-as-a-ServiceAI Governance & Compliance-as-a-Service
Build a governance program that your compliance, risk, and clinical governance teams can endorse.
AI Governance & ComplianceWhere we focus
Practical use cases, each kept governed and reviewable.
Pick a workflow, see what the AI does, where a human stays in the loop, and how it stays defensible to compliance.
Clinical Documentation Summarization
Summarize visit notes or multi-source documentation into structured drafts, always reviewed by clinicians before use.
View all use casesBuilt for PHI
Built for PHI/PII, not just demo data.
Healthcare AI demands special care around privacy, security, and compliance, designed in from day one.
Our approach to sensitive data
We design AI solutions with conscious handling of PHI/PII from day one, not as an afterthought.
Our architectures apply HIPAA-aligned thinking, with alignment to the risk and governance frameworks appropriate for your organization.
We prefer keeping AI workloads on client-controlled infrastructure wherever possible, minimizing data-exposure risk.
What this means in practice
- PHI/PII minimization and de-identification patterns where possible.
- Architectures that keep sensitive data inside governed environments.
- Audit trails, logs, and approvals for AI-driven workflows.
- Clear boundaries on what AI agents and models are allowed to do.
Designed for your teams
We speak to every perspective at the table.
Engagements typically involve joint conversations across these personas, so decisions don't get made in silos.
Technology & Data Leaders
CIO, CTO, CDO, Head of Data/Analytics
Key concerns
- Scaling AI beyond a few heroes.
- Avoiding fragile, one-off solutions.
- Integrating with EHR, CRM, warehouse, and BI stacks.
Clinical, Operations & R&D Leaders
Chief Medical Officer, Head of Clinical Ops, Head of R&D
Key concerns
- Reliability and interpretability of AI for frontline staff.
- Workload reduction without compromising safety.
- Better decision support without overwhelming clinicians.
Compliance, Risk, and Legal
Chief Compliance Officer, Chief Risk Officer, General Counsel, Privacy Officer
Key concerns
- Regulatory exposure.
- Traceability, accountability, and explainability.
- Ensuring AI uses support, not undermine, existing governance.
How an engagement runs
A structured path from first conversation to scaled capability.
01
Discovery & Readiness
- Understand your data landscape, AI experiments, and governance context.
- Identify a small number of high-impact, low-regret starting points.
02
Design & Pilot
- Design workflows, models, and controls for a focused pilot.
- Co-create with your clinical, ops, and compliance stakeholders.
03
Production & Governance
- Harden successful pilots into monitored, governed services.
- Establish ongoing MLOps & governance routines.
04
Scale & Evolve
- Extend successful patterns to new departments and use cases.
- Evolve your governance program as your AI footprint grows.
What you aim for
Tangible outcomes that matter to your organization.
$8K
entry point, the AI Readiness & Governance Assessment, with a roadmap your team can act on
3 weeks
from kickoff to a production-ready, governed delivery on a focused pilot
$50M+
the size of organization we're built for, up to $500M in regulated care and research
- Safer, faster AI adoption, without bypassing critical clinical or compliance safeguards.
- Reduced manual burden, freeing clinicians, operations, and compliance staff from repetitive tasks.
- A stronger governance story, clearly explain AI use, risk posture, and controls to leadership and partners.
- From experiments to reliable systems, a portfolio of governed, production-grade AI services.
Go deeper
Resources for healthcare & life sciences leaders.
Straight answers
Common questions from healthcare AI buyers.
Do you sign a Business Associate Agreement?
Yes. Kriv AI will sign a BAA for any engagement that involves protected health information under HIPAA. Our delivery is HIPAA-aligned by design, data minimization, access controls, and audit trails, and we document the governance decisions your compliance team needs to defend the deployment.
Which EHR systems do you integrate with?
We integrate with Epic, Cerner, Meditech, and other EHR systems via FHIR APIs, HL7 interfaces, and vendor-supported connectors. All integrations are scoped under your security and data governance policies.
Can you work in our existing Azure or AWS cloud environment?
Yes. Kriv AI is cloud-agnostic. We deploy within your existing Azure, AWS, or GCP environment and follow your tenancy and data residency requirements, no rip-and-replace of your current infrastructure.
How do you handle prior authorization use cases?
Prior authorization automation is one of our most common healthcare engagements. We design agentic workflows that extract clinical criteria, cross-reference payer rules, and route to a human reviewer for final approval, keeping a licensed clinician in the loop at every decision point.
What is the minimum engagement size?
Our smallest healthcare engagement is the AI Readiness & Governance Assessment at $8,000, a structured diagnostic that produces a roadmap your team can act on independently or use as the scope for a pilot project.
Continue the chapter
Agentic AI & automation for clinical workflows
Governed agents for prior authorization, claims, and clinical operations.
LLM fine-tuning for healthcare use cases
HIPAA-aligned model customization for clinical and life-sciences data.
Healthcare & life sciences AI articles
In-depth guides on HIPAA-aligned data, clinical AI, and revenue-cycle automation.
Start here
Want AI that fits healthcare, not just generic demos?
Governed AI for hospitals, biopharma, and healthtech that need reliability, HIPAA-aligned from day one, 3 weeks from kickoff to production-ready delivery. Bring your current AI initiatives to a 30-minute working session and we'll map a safe path to production.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ
“A massive time saver.”
Flagship engagement, 2025, 2,000+ associates · 122 locations. From kickoff to independently productive engineers in 3 weeks.