The LLM Never Makes
the Decision.
We build AI systems where language models extract the facts and deterministic rules engines make the call. Every decision is auditable, reproducible, and traceable to source. Built for regulated industries. Battle-tested in healthcare.
Trusted by
Why Pure LLM Approaches Fail
Large language models are powerful, but they weren't designed for regulated industries where accuracy, auditability, and consistency are non-negotiable.
Hallucinations
LLMs make things up, especially with medical and regulatory content. In healthcare, invented facts are dangerous and can lead to incorrect coverage decisions.
Black Box Decisions
Can't explain why a coverage decision was made. Regulators and auditors need clear reasoning trails—not "the AI said so."
Inconsistent Results
Same input, different output. Run it again, get a different answer. You can't build reliable systems on unpredictable foundations or pass compliance audits.
There's a better way.
See our hybrid approachThe LLM never makes the decision.
The Hybrid Architecture
LLMs excel at understanding unstructured text. Rules engines excel at deterministic logic. We use each for what it does best.
Unstructured Data
Clinical notes, documents
LLM Extraction
Extract entities & relationships
Structured Facts
Typed, validated objects
Rules Engine
CMS guidelines, business logic
Auditable Decision
COVERED + evidence trail
Unstructured Data
Clinical notes, documents
LLM Extraction
Extract entities & relationships
Structured Facts
Typed, validated objects
Rules Engine
CMS guidelines, business logic
Auditable Decision
COVERED + evidence trail
Our Design Principle
The LLM never makes the decision. It extracts structured facts from unstructured text. The rules engine—deterministic, auditable, reproducible—applies your business logic to those facts. Every decision traces back to a specific rule and source quote.
Audit Trail
Every decision traceable to source quote and rule
Reproducible
Same input = same output, every time
Explainability
Clear reasoning chain for every decision
Ready
Built for HIPAA, CMS, and audit compliance from day one
What We Build
End-to-end AI solutions that combine the flexibility of LLMs with the precision of deterministic systems.
Healthcare AI Systems
Production-ready AI for regulated healthcare environments.
- Medicare coverage determination
- Clinical NLP pipelines
- HIPAA-compliant architecture
Custom Rules Engines
Deterministic decision systems with full transparency.
- Business logic encoded precisely
- Complete audit trails
- Database-driven, versionable
LLM Integration
Production LLM architecture designed to be accurate, measurable, and maintainable.
- RAG & hybrid retrieval architecture
- Guardrails, structured output & validation
- Evaluation frameworks for accuracy measurement
AI Architecture Consulting
Expert guidance from prototype to production.
- System design for hybrid AI
- Migration from pure-LLM
- Production deployment
Proven in Production
Real systems solving real problems. Here's how the hybrid approach delivers results.
Clinical NLP Stack
— Medicare Coverage DeterminationChallenge
Automate Medicare coverage determination from unstructured clinical documentation while maintaining full compliance with CMS guidelines.
Solution
LLM extracts wound characteristics, patient data, and treatment details from clinical notes. A deterministic rules engine applies 100+ CMS LCD guidelines to the structured facts.
"Every coverage decision traces back to a specific rule, a specific quote from the chart, and a specific page number."
Results
audit trail
CMS rules encoded
black box decisions
TalentOS
— Intelligent Candidate MatchingChallenge
Scale candidate-job matching across thousands of applications while ensuring consistent, defensible decisions free from bias.
Solution
LLM extracts skills, experience, and qualifications from resumes. Rules engine applies standardized matching criteria, ensuring every candidate is evaluated against the same objective benchmarks.
"Recruiters can explain exactly why each candidate was matched or not—critical for compliance and fairness."
Results
explainability
criteria for all
hidden bias
Nectuer
— Workflow Automation for HospitalsChallenge
Enable hospitals to design, deploy, and manage complex approval workflows with compliance built-in and human-in-the-loop capabilities.
Solution
Visual drag-and-drop workflow builder powered by AI. Rules engine ensures compliance requirements are met while LLM assists with intelligent routing and decision support.
"What used to take three emails and a phone call now routes automatically—with a full compliance record at every step."
Results
saved per approval
compliance trail
manual handoff errors
Let's Build Something Together
Ready to implement AI that actually works? Tell us about your project.