Compliance Intelligence and Governed AI for Life Sciences and Healthcare
Grounded in your data. Sound in its reasoning. Traceable in its output.
We work in 4 week Delivery Cycles - scoped, time-boxed, and production-ready. One cycle proves the delivery model. Most clients run several.
The AI project is approved. The problem is everything that comes after.
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The Compliance Moment
Your AI system makes a recommendation. A regulator asks how it got there. Nobody can show their work.
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The Data Moment
The pipeline is running. The numbers are wrong. And nobody knows which system introduced the error.
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The Scale Moment
The pilot worked. Now the question is whether it holds up in production — under real volume, real users, real audit scrutiny.
At DNAMIC, we deliver AI into regulated environments - fast.
Not a proof of concept. Not a roadmap. A production-ready system in 4 weeks.
CLIENT: Luveo Health — Enterprise Pharmacy Operations Platform
ENGAGEMENT: Two sequential 4 week delivery cycles
Pharmacy Compliance Intelligence — Rules Engine to Governed AI Copilot
The Architecture Pattern
Outcomes
What We Built
DNAMIC uses a productized framework to deliver AI features in 4 week cycles
Compliance Intelligence
When Compliance is the bottleneck
We codify your regulatory requirements into a deterministic rules engine — and layer an AI copilot that translates every outcome into plain-language, cited guidance. Delivered for DEA, DSCSA, SOC2, HIPAA, Medicaid, and Medical Device compliance frameworks.
Operational Analytics
When you can’t trust the numbers
Governed data pipelines connecting your operational data to structured, auditable reporting. Every metric traces back to a defined rule and a validated data source.
Clinical Knowledge Systems
When tribal knowledge is the system
Governed knowledge assistants that surface relevant clinical guidelines and protocols — every response citing the specific document it came from. Designed specifically for non-SaMD use.
Biomedical Discovery
When precision medicine can’t wait
Extends DNAMIC's governed AI architecture from compliance and operations into research and discovery workflows — applying the same grounded / reasoned / auditable framework to the data underlying drug and device discovery (preclinical data, literature corpora, experimental results, lab records).
Risk and Revenue Intelligence
When regulatory changes impact your bottom line
For behavioral health providers and Federally Qualified Health Centers navigating Medicaid redetermination - we codify the documentation requirements into a rules engine that evaluates every patient record before a claim is submitted or a renewal date passes. The result: fewer denials, fewer procedural disenrollments, and a weekly prioritized action list for your billing and care coordination teams.
Built for H.R. 1 six-month redeterminations, state managed care documentation standards, and plan-specific billing requirements.
DNAMIC’s Three-Pillar Architecture built on top of trusted platforms
Grounded in your data. Sound in its reasoning. Traceable in its output.
Grounded
Every output traces to a real source (provenance)
Reasoned
Every inference is checked against the logic that produced it, not just the citation
Auditable
The full chain (data → rule → reasoning step → output) is inspectable after the fact
Not sure if this is the right fit? Let’s find out in 30 minutes.
We'll ask three questions: what's the workflow, what's the data, and what does done look like. If we can scope it into 4 week cycles, we'll tell you exactly what it costs. If we can't, we'll tell you that too.