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12 Production AI Workflows & Engines

Production Systems & Impact

Showing 12 of 12 projects
KWC Tabular Clinical Chart
97.54% Zero-Edit
Wound Care Tabular Chart$0.16/chart
SiteL×W×D (cm)TissueStatus
Sacral4.2×3.1×0.875% GranHealing
L Heel2.1×1.4×0.390% EpithStable
65,241
Charts
61
Clinicians
+50%
Capacity
Production Deployed
Clinical & Healthcare AI

Kane Wound Care (KWC) — Production Clinical Documentation

Production-grade clinical documentation pipeline generating EMR-ready tabular encounter charts, wound assessment matrices, and structured notes with 97.54% zero-edit fidelity.

Key Performance Metrics
65,241
Total Charts
Apr–Oct 2026
97.54%
Zero-Edit Rate
63,639 charts clean
$0.16
Cost / Chart
Optimized pipelines
61
Active Clinicians
Consolidated providers
PythonHTMLFastAPIPrompt EngineeringEHR Tabular SchemasGPT-5.2
Explore Architecture & Implementation
Batch Ingestion & Split
< 6 min Batch
PDF Batch
370+ pgs
150 Pts
98.5% Cut
PT_001
✓
PT_002
✓
PT_003
✓
Manual: 4–6 hrsSaved: 2–3 min/patient
Production Deployed
OCR & Document Intelligence

KWC OCR + PDF Splitter

Automated optical segmentation pipeline that identifies patient boundaries in multi-page clinical records, extracts demographics, and routes verified encounters to destination SFTP servers.

Key Performance Metrics
98.5%
Time Reduced
4-6h down to <6m
< 6 min
Batch Speed
vs 4–6 hrs manual
2–3 min
Saved / Patient
Zero manual touches
100–150
Patients / Batch
200–370+ pages
PythonTesseract OCROCR PipelinesPDF ProcessingSFTP AutomationKeyword-Based Document Splitting
Explore Architecture & Implementation
CPT Code Reconciliation
10x Faster Audit
Chart: DebridementCPT 11042Matched ✓
Chart: CompressionCPT 29580Recovered +$
Batch ~4,300 Charts135+ Staff Hours Saved
Production Deployed
Clinical & Healthcare AI

Code Reconciliation System

Automated chart-to-billing reconciliation engine that cross-validates clinical documentation against billing claim codes to identify missed CPT codes and prevent revenue leakage.

Key Performance Metrics
135+ hrs
Saved / Batch
1.88 min / chart
10x
Audit Speed
5-12m down to 30s-1m
~4,300
Charts / Batch
Zero manual collation
100%
Audit Readiness
CPT discrepancy catch
PythonGPT-5.2Rule-Based EnginesCPT Code Auditing
Explore Architecture & Implementation
RCM Real-Time Eligibility
< 3s Check-in
Payer: BlueCross / Aetna Active
Prior-Auth Dup Check:Protected (0 Dups)
Morning Roster:0 min (Overnight Batch)
Target: 80%+ TouchlessModular Reusable Core
Production Deployed
Clinical & Healthcare AI

RCM Eligibility Module

Standalone eligibility verification module featuring scheduled batch verification, pre-verification caching, and prior-authorization duplicate prevention.

Key Performance Metrics
< 3 sec
Check-In Target
Pre-verification cache
0 min
Morning Roster
15-20 min eliminated
80%+
Touchless Target
Exception-only review
100%
Dup Prevention
Prior-auth tracking
PythonTypeScriptIn-Memory CachingAsynchronous QueuesClearinghouse API IntegrationScheduled Cron Jobs
Explore Architecture & Implementation
Multi-Specialty Engine
13+ Specialties
Wound Care
Standardized SOAP
Podiatry
Standardized SOAP
Cardiology
Standardized SOAP
Orthopedics
Standardized SOAP
Zero Custom CodeRapid Practice Launch
Production Deployed
Prompt Systems & Platforms

Specialty Prompt Development

Modular clinical documentation prompt suites standardizing SOAP note structures, clinical nomenclature, and compliance guidelines across diverse provider practices.

Key Performance Metrics
13+
Specialties
Wound Care, Podiatry, etc.
Rapid
Practice Onboarding
Modular prompt suites
SOAP
Standardization
Strict nomenclature
Zero
Custom Code Needed
Reusable architecture
System and User Prompt DesignPrompt OptimizationPrompt CachingFew-Shot Prompting
Explore Architecture & Implementation
QA & Edit Optimization
40+ Clinicians
Clinician Edit Rate:Minimized ↓
Ops Resolution:Same-Day Turnaround
Provider Tiers:Instant & Plus Supported
Continuous TuningHigh Doctor Retention
Production Deployed
Prompt Systems & Platforms

Prompt Engineering & Quality

Continuous prompt optimization and telemetry-driven quality assurance resolving doctor workflow friction points and sustaining high clinician note acceptance.

Key Performance Metrics
40+
Clinicians Supported
Instant & Plus tiers
Low
Clinician Edit Rate
High note trust
Same-Day
Ops Resolution
Rapid feedback loops
High
Clinician Retention
Operational stability
System and User Prompt DesignPrompt OptimizationPrompt CachingFew-Shot Prompting
Explore Architecture & Implementation
Production Deployed
Prompt Systems & Platforms

IM-NEXUS Platform

AI-assisted prompt generation and provider configuration platform automating dual-LLM orchestration, prompt versioning, and lifecycle management for clinical operations.

Key Performance Metrics
70
Providers
Active configurations
328
Prompts
Production schemas
80–90%
Effort Slashed
AI team prompt time
9+/10
Avg Note Score
Strict fidelity
FastAPIPostgreSQLClaude 3.5 SonnetGemini 3.1 ProRole-Based Access Control (RBAC)Next.js
Explore Architecture & Implementation
Production Deployed
Autonomous Agents & Automation

Operational Newsletter Automation

Agentic publishing pipeline connecting internal data repositories, synthesizing key highlights, and automating scheduled executive communications.

Key Performance Metrics
100%
Manual Effort Cut
Zero manual collation
100%
Automated
Scheduled delivery
15+ hrs
Weekly Saved
Org-wide reporting
Reliable
Delivery Workflow
Zero missed runs
LangGraphMCP ServersPythonAI AgentsHTML Email Automation
Explore Architecture & Implementation
SMB Multi-Agent Suite
3 Autonomous Agents
WhatsAppBI Agent
LinkedInMarketing
24/7 SalesLead Bot
Powered by N8NZero Staff Overhead
Production Deployed
Autonomous Agents & Automation

Multi-Agent SMB Automation Suite (N8N)

Multi-agent autonomous ecosystem orchestrating conversational WhatsApp BI queries, scheduled LinkedIn marketing generation, and 24/7 inbound lead qualification.

Key Performance Metrics
3
Autonomous Agents
BI, Marketing, Sales
24/7
Sales Inbound
WhatsApp conversion
Real-Time
WhatsApp BI
Sales & profit queries
Automated
LinkedIn Posts
Branded copy & visuals
n8nMulti-Agent WorkflowsWhatsApp Cloud APILinkedIn API IntegrationPostgreSQL
Explore Architecture & Implementation
Handwritten Table OCR
Tabular Extraction
DateWound (cm)Exudate
10/122.4 x 1.2Serous
10/191.8 x 0.9None
Legacy Records UnlockedClean Structured Data
Production Deployed
OCR & Document Intelligence

KWC OCR — Handwritten Table & Clinical Extraction

Computer vision and OCR pipeline parsing irregular cell boundaries, de-skewing scanned pages, and transforming handwritten tabular clinical logs into structured records.

Key Performance Metrics
High
Extraction Recall
Dense tabular notes
Legacy
Chart Unlocked
Handwritten records
Core
Foundation
Enterprise OCR layer
Structured
Digital Matrix
SQL/JSON export
PythonOpenCVTable ExtractionHandwriting RecognitionDocument AIVision-Language Models (Gemini 3.1 Pro)
Explore Architecture & Implementation
Ophthalmology HITL
In Active Build
Scribe Time Reduction:80–90%
Unit Cost / Page:~$0.012 / page
Models Benchmarked:17 Frontier AI Models
Interactive Click-to-VerifyDense Handwriting OCR
In Active Build
OCR & Document Intelligence

Handwritten Clinical Chart Digitization & HITL Pipeline

Vision-language pipeline digitizing handwritten clinical charts with dense cursive handwriting, tabular IOP logs, and an interactive click-to-verify human-in-the-loop workflow.

Key Performance Metrics
80–90%
Scribe Time Cut
Click-to-verify flow
~$0.012
Cost / Page
17-model benchmark
17
Frontier Models
Rigorous evaluation
Interactive
HITL Interface
Progressive streaming
Vision-Language Models (Gemini 3.1 Pro)Human-in-the-Loop (HITL) VerificationModel BenchmarkingFastAPIMultimodal AI
Explore Architecture & Implementation
Dynamic Template Engine
In Progress
Inject Category:15+ Categories ↓
Dynamic RestructuringZero Hardcoding
SOAP AdaptationHigh Clinical Fidelity
In Active Build
Clinical & Healthcare AI

Custom Template AI Engine

Dynamic prompt interpretation engine that interprets provider customization requests in natural language and injects specialized clinical categories into SOAP notes.

Key Performance Metrics
15+
Custom Categories
Dropdown SOAP injection
Dynamic
Prompt Restructuring
Natural language intent
Zero
Hardcoded Paths
Flexible prompt engine
High
Clinical Fidelity
Medical validation
PythonOpenAI APIJSON RestructuringDynamic PromptingClinical Schema AdaptationFew-Shot LearningPrompt Chaining
Explore Architecture & Implementation