Abhinav Dangri
CEO & Founder, Kriv AI
Most AI pilots in regulated industries stall because compliance is treated as an afterthought. I build it in from day one. Through Kriv AI, I've deployed 16 production AI solutions across healthcare, insurance, and life sciences — each one HIPAA-compliant from the start.
Healthcare organizations invest heavily in AI — hiring data science teams, running pilots, building proofs of concept. Then the pilot works in the lab, and everything stalls. The compliance team has concerns. Legal wants more review. The board asks about risk. Eighteen months later, the pilot is still "in progress."
I've seen this pattern at over a dozen organizations. The technology isn't the problem. The problem is that governance, compliance, and operational readiness are treated as things you figure out later. By the time "later" arrives, the project has lost momentum, the champion has moved on, and the investment is written off.
79% of healthcare AI pilots never reach production. Not because the AI doesn't work — because the organization wasn't ready to deploy it responsibly.
I solve this by building compliance into the architecture from day one. HIPAA, HHS mandates, audit trails, data governance — all designed in, not bolted on. That's what gets AI from the lab to production in 90 days instead of 18 months.
A few examples from recent work — names generalized for confidentiality.
A mid-size health system needed AI for clinical decision support but couldn't get past compliance. Off-the-shelf solutions didn't meet HIPAA requirements, and their internal team lacked governance expertise. I designed a governed deployment framework on Azure with end-to-end encryption, audit trails, and role-based access controls aligned to HHS AI mandates.
Production-ready in 78 days. Zero compliance findings in their first external audit.
"Abhinav's team took us from an AI pilot that had been stalled for 6 months to a fully governed production deployment in under 90 days. The compliance framework gave our board the confidence to approve the rollout."
Manual claims triage was creating 14-day processing backlogs at a regional carrier. I deployed an agentic AI system with human-in-the-loop safeguards that auto-triages, validates, and routes claims by complexity and risk.
Now processing 50,000+ claims/month. 73% reduction in average triage time.
A $200M organization had 40+ manual processes across departments creating bottlenecks and data inconsistencies. I built an end-to-end automation platform using n8n, Power Automate, and custom Python integrations across finance, HR, and operations.
Eliminated 60% of manual operations. 2,000+ person-hours saved per quarter.
"What sets Abhinav apart is that he actually understands both the AI and the compliance side. Most consultants know one or the other — he bridges both."
Facing a similar challenge?
Every engagement is structured around your specific challenge. No cookie-cutter deliverables.
My structured approach to taking healthcare AI from pilot to governed production. Four phases — Discovery, Architecture, Deployment, Scale — each with clear deliverables, compliance checkpoints, and a defined timeline. No open-ended engagements.
I evaluate your data infrastructure, compliance posture, and organizational readiness — then deliver an honest assessment with a prioritized 90-day roadmap. Deliverables: AI readiness scorecard, data governance gap analysis, compliance risk assessment, and 90-day action plan. Typically 2–3 weeks. Engagements start at $15K.
End-to-end agentic AI deployment with HIPAA compliance, human-in-the-loop safeguards, and audit trails built in from day one. Most clients go from kickoff to production in 90 days. Implementations range from $50K–$300K.
For organizations deploying AI but lacking governance infrastructure. I build HIPAA-compliant frameworks, EU AI Act readiness programs, and ongoing Governance-as-a-Service. This is what keeps you audit-ready.
Senior AI leadership without full-time overhead. I advise on technology strategy, vendor evaluation, and team development. Available 10–20 hours/month starting at $8K/month.
I'm Abhinav Dangri — the founder and CEO of Kriv AI, an AI consulting firm built specifically for regulated industries. We help healthcare, insurance, and life sciences organizations deploy production-grade AI that passes compliance from day one.
Before Kriv AI, I built and ran Alankrat Productions — a 15-person digital services agency serving 500+ clients across four verticals. I closed it to focus entirely on the problem I kept encountering: organizations investing in AI but unable to get it past compliance and into production. That gap became my company's entire focus.
I studied Computer Engineering at NYU, graduated with a 3.91 GPA, and was inducted into Tau Beta Pi (the top 12.5% of engineering students). I hold 50+ professional certifications across Azure, AWS, and Databricks — including the Databricks Certified Machine Learning Professional and Microsoft Power BI Associate. Kriv AI is an active Databricks Consulting & System Integration Partner.
Outside of work, I volunteer with the India Heritage Foundation NJ/NY, where I lead technical operations and have helped coordinate fundraising campaigns raising $120,000+ for community projects. I've been involved since 2017.
I'm based in East Brunswick, New Jersey.
See client stories, writing, and conversations on the Featured & Recognition page.
Common Questions
Answers to the questions enterprise leaders ask before working together.
Still have questions?
Let's Talk
Whether you're starting your AI journey or rescuing a stalled pilot, let's discuss how to get you to production.
30 minutes. No pitch. We'll discuss your AI challenges and whether I can help.
I respond within 24 hours. No spam, ever.