Sample projects
16 governed AI projects — 4 regulated verticals.
Production-ready sample architectures demonstrating compliance-first AI across Healthcare, Life Sciences, Insurance, and Finance. Every project is fully documented, deployable, and built around the specific regulatory framework of its vertical.
16
Sample projects
4
Regulated verticals
6
Cloud platforms
12+
Compliance frameworks
Azure HealthGov Platform
Governed AI platform for clinical and operational data — multi-agent architecture with audit trails and role-based access built in from day one.
Patient Engagement & Interoperability Hub
FHIR-native interoperability hub with AI-powered patient engagement — integrates with EHR systems and surfaces governed clinical insights.
Revenue Cycle Intelligence Platform
End-to-end revenue cycle automation — AI agents for prior authorization, claims adjudication, denial management, and payer intelligence.
Clinical NLP Governance Toolkit
On-premises NLP pipeline for clinical notes, discharge summaries, and structured data — audit-ready with de-identification and governance controls.
Clinical Trial Analytics & Compliance
AI-accelerated clinical trial data analysis with full 21 CFR Part 11 compliance — electronic records, signatures, and audit trails built natively.
Pharmacovigilance & Drug Safety Hub
Automated adverse event detection and signal management — NLP across literature, spontaneous reports, and clinical data with regulatory-ready outputs.
Real-World Evidence & Drug Discovery
Real-world evidence platform combining EHR, claims, and genomic data — governed data sharing with federated query and privacy-preserving analytics.
Manufacturing Quality & Batch Analytics
AI-powered batch release and quality deviation detection — real-time process analytics with deviation prediction and regulatory reporting automation.
Claims Intelligence & Fraud Detection
Multi-model fraud detection combining graph analysis, NLP, and behavioral signals — explainable AI outputs aligned with state regulatory requirements.
Underwriting Automation & Risk Intelligence
Automated underwriting with AI risk scoring — integrates third-party data, loss history, and behavioral signals with full decision audit trails.
Actuarial Analytics & Reserving
ML-augmented reserving and loss development — scenario modeling, sensitivity analysis, and regulatory-ready actuarial outputs on Databricks Unity Catalog.
Policy Servicing & Customer Intelligence
AI-powered policy lifecycle management — churn prediction, next-best-action, and governed customer data platform with consent management.
AML/KYC Compliance & Transaction Monitoring
Real-time transaction monitoring with AI-generated SAR narratives — tunable thresholds, explainable alerts, and full FinCEN regulatory alignment.
Trade Surveillance & Market Abuse Detection
Cross-asset surveillance platform detecting spoofing, wash trading, and insider trading patterns — audit-ready case management with regulator export.
Regulatory Document Intelligence
On-premises LLM pipeline for regulatory filing analysis, policy comparison, and compliance gap detection — zero data leaves the perimeter.
Wealth Management & Portfolio Intelligence
AI-powered portfolio analytics with suitability monitoring, risk attribution, and client reporting — governed model outputs with full explainability.
What every project includes
Not demos. Deployable architecture.
01
Compliance-first architecture
Governance and audit trails built into the foundation — not bolted on after delivery.
02
Multi-agent AI
Autonomous agents with human-in-the-loop safeguards and full observability at every step.
03
Production-ready infrastructure
Deployable with monitoring, alerting, and security controls already wired in.
04
Fully documented
Architecture docs, deployment runbooks, and compliance framework mappings included.
05
Real dataset patterns
Synthetic or publicly available vertical data — realistic enough to validate the architecture.
06
Engagement-ready
Each project maps directly to a Kriv AI service offering and can become a client engagement.
See one adapted for your environment.
Every sample project is a starting point. A discovery call turns it into a scoped engagement built around your compliance framework, cloud platform, and team.