Governed AI for life sciences and healthcare.
Grounded in your data. Sound in its reasoning. Traceable in its output.
We deliver in four-week cycles: scoped, time-boxed and production-ready. One cycle proves the model. Most clients run several.
- RCV-004Quantity reconciled to orderPass
- DSC-011Lot-level transaction historyPass
- RCV-014Receipt record completenessFail
Receipt date is missing. Schedule II receipts must record the date each item arrived, so this record can’t be committed.
Add the received date on the order form, then resubmit.
Illustrative example
The AI project is approved. The problem is everything that comes after.
- 01
The compliance moment
Your AI system makes a recommendation. A regulator asks how it got there. Nobody can show their work.
- 02
The data moment
The pipeline is running. The numbers are wrong. And nobody knows which system introduced the error.
- 03
The scale moment
The pilot worked. Now the question is whether it holds up in production, under real volume, real users and real audit scrutiny.
We deliver AI into regulated environments, fast.
- Not a proof of concept
- Not a roadmap
- A production-ready system in four weeks
One governed layer, from raw data to human action.
Every record keeps its source.
Connectors into EHR, pharmacy, lab, claims and device systems. Each record lands with its source, timestamp and lineage intact.
Clean before it counts.
Raw data preserved in bronze, conformed in silver, business-ready in gold. Versioned transformations and quality gates flag problems the day they happen, not at month-end.
Your regulations, running as code.
Deterministic, versioned rules evaluate every event and return pass, warn or fail. Same event, same rule version, same answer, every time.
The AI explains. It never decides.
Each outcome becomes plain-language guidance: what failed, why it matters, what to do next, with the citation attached. No grounding, no answer.
Show your work, instantly.
Data, rule, reasoning step and output, immutable and timestamped. When a regulator asks how a decision was made, the answer is already assembled.
Underneath your stack, not instead of it.
DNAMIC runs beneath your workflows, your EMR and your existing tools. Each four-week cycle ships one layer to production, and you own all of it.
One governed layer, from raw data to human action.
- 01 · Grounded
Your data: Every record keeps its source.
Connectors into EHR, pharmacy, lab, claims and device systems. Each record lands with its source, timestamp and lineage intact.
- 02 · Grounded
Governed pipeline: Clean before it counts.
Raw data preserved in bronze, conformed in silver, business-ready in gold. Versioned transformations and quality gates flag problems the day they happen, not at month-end.
- 03 · Reasoned
Rules engine: Your regulations, running as code.
Deterministic, versioned rules evaluate every event and return pass, warn or fail. Same event, same rule version, same answer, every time.
- 04 · Reasoned
AI copilot: The AI explains. It never decides.
Each outcome becomes plain-language guidance: what failed, why it matters, what to do next, with the citation attached. No grounding, no answer.
- 05 · Auditable
Audit trail: Show your work, instantly.
Data, rule, reasoning step and output, immutable and timestamped. When a regulator asks how a decision was made, the answer is already assembled.
- 06 · Delivered
DNAMIC: Underneath your stack, not instead of it.
DNAMIC runs beneath your workflows, your EMR and your existing tools. Each four-week cycle ships one layer to production, and you own all of it.
Five ways in. One architecture underneath.
A productized framework, delivered in four-week cycles. Start where the pain is; every service runs on the same grounded, reasoned, auditable core.
- 01When compliance is the bottleneck
Compliance Intelligence
We codify your regulatory requirements into a deterministic rules engine, then layer an AI copilot that turns every outcome into plain-language guidance with a citation attached.
- 02When you can’t trust the numbers
Operational Analytics
Governed data pipelines that connect your operational data to auditable reporting. Every metric traces back to a defined rule and a validated source.
- 03When tribal knowledge is the system
Clinical Knowledge Systems
Governed knowledge assistants that surface the right guideline or protocol, every answer citing the document it came from. Designed for non-SaMD use.
- 04When precision medicine can’t wait
Biomedical Discovery
The same grounded, reasoned, auditable framework applied to research: reproducible screening data, traceable design decisions, retrievable program knowledge.
- 05When regulatory change hits your bottom line
Risk & Revenue Intelligence
For behavioral health providers and FQHCs facing six-month Medicaid redeterminations: every record checked before a renewal passes or a claim goes out.
Enterprise pharmacy operations platformPharmacy compliance, running as code.
Two four-week cycles for an enterprise pharmacy operations platform: 28 rules across 7 workflows covering DEA, DSCSA, HIPAA, USP 797 and state Boards of Pharmacy, and a governed copilot that explained every outcome with a citation, and never fabricated one.
Read the case study →- 28Compliance rules codified
- 97%Explanation accuracy · 100% on chat
- 0Fabricated citations
- 35/sEvents validated under load
- 01Regulations
- 02Rules engine
- 03Governed outcomes
- 04AI copilot
- 05Human action
“Compliance has always been the unglamorous, unavoidable cost of running a pharmacy. What DNAMIC built turns it into a system our technicians can actually trust, because every recommendation traces back to a specific rule and a specific regulation.”
Four weeks. Production, not pilot.
Each cycle is scoped to one workflow: narrow enough to finish completely, real enough to matter operationally.
- Week 1
Requirements + architecture
Map the real requirements with your team, connect to source systems and set the governance model.
You getA working data pipeline and a documented specification to review. - Week 2
The core system
Build the engine at the heart of the cycle and validate it against your real operational records.
You getA live system on your data, and a first demo to your team. - Week 3
Hardening + evaluation
Add audit logging, access controls and the explanation layer, then run a structured evaluation set.
You getAn evaluation report on accuracy, refusals and guardrails. - Week 4
Production
Deploy into your environment, walk your team through it and document everything.
You getA production system your team owns, plus a written scale roadmap.
At the end of week four you decide whether to run another cycle. Most clients run three to six as they expand coverage. How we work →
Not sure it’s the right fit? Find out in 30 minutes.
If we can scope it into a four-week cycle, we’ll tell you exactly what it includes and what it costs. If we can’t, we’ll tell you that too.
Book a 30-minute scoping call →- We’ll ask three questions
- 01What’s the workflow?
- 02What’s the data behind it?
- 03What does done look like?