AI & Machine Learning — From PoC to Production
For mid-market and enterprise teams who need production-ready AI—not demos that stall.
We move AI initiatives from pilot purgatory to scaled deployment. Custom ChatGPT and Claude implementations, computer vision, NLP, predictive analytics—with measurable business outcomes and compliance built in.
Why AI Projects Fail
Most AI initiatives never make it past the proof-of-concept stage. They deliver impressive demos but fail to scale, integrate, or show measurable ROI. Here's what we see repeatedly:
The PoC-to-production gap
Models work in a notebook but fall apart in production. No pipelines, monitoring, or integration with your systems.
Poor data readiness
Data is scattered, inconsistent, or insufficient. Teams underestimate what it takes to train and maintain accurate models.
Technology-first, outcome-second
Vendors sell cool tech without tying it to business metrics. You end up with AI that doesn't move the needle.
Compliance and security overlooked
Healthcare, insurance, and regulated industries need HIPAA, CJIS, or similar—often as an afterthought, which leads to costly rework.
Our Approach
We deliver AI differently. We start with business outcomes, assess data readiness upfront, and design for production from day one. Our methodology:
Discovery
Feasibility assessment, data audit, and business outcome definition. We tell you honestly if AI is the right fit.
POC
Focused proof-of-concept with clear success criteria. Typically 4–6 weeks to validate approach and data.
Production
Robust pipelines, integration with your systems, monitoring, and deployment. Built to scale and maintain.
Optimization
Model retraining, performance tuning, and ongoing support. AI is not set-and-forget.
What makes us different: We combine 8+ years of production AI experience with regulated industry expertise (HIPAA, CJIS). We don't deploy until accuracy targets are met—and we integrate with your existing tech stack, not a proprietary platform.
What You Get
- Production AI system deployed to your cloud environment
- MLOps pipeline: automated retraining, monitoring, and alerting
- Comprehensive documentation (model cards, data flow diagrams)
- Post-launch support: model monitoring, retraining, incident response
- Team training and knowledge transfer (so we're not a black box)
- Optional: Ongoing managed ML services if you prefer hands-off
Plus: integration with your existing systems (APIs, databases, workflows), measurable business metrics, compliance built in (HIPAA, CJIS where applicable), and full code ownership—no vendor lock-in.
Use Cases by Industry
Healthcare
Problem:
High readmission rates drive avoidable costs. Manual risk assessment is inconsistent and reactive.
Solution:
ML models predict readmission risk from EHR and clinical data. HIPAA-compliant pipelines with audit trails.
Expected outcome:
Clients see 39% readmission reduction, $1.2M+ annual savings, and 94% prediction accuracy.
Insurance
Problem:
Claims processing is manual, slow, and error-prone. Backlogs and inconsistent adjudication hurt efficiency.
Solution:
NLP and document AI for automated claims classification and extraction. Integration with claims systems and workflows.
Expected outcome:
85% claims automation, 60% faster resolution, 45% reduction in processing time. Typical ROI in 6–12 months.
Law Enforcement
Problem:
Agencies need predictive crime analytics and real-time insights. Data exists but isn't actionable.
Solution:
Geospatial AI and predictive models for hotspot identification. CJIS-compliant deployment with full audit trails.
Expected outcome:
28% crime reduction, 99.9% uptime, 100K+ incidents analyzed. Zero security breaches in 16 years of law enforcement work.
Not Sure If AI Can Help Your Business?
Quick reference of common use cases we've built:
What Our Clients Say About Our AI Solutions
"LTK Soft didn't just build a model—they built a production system that our team can maintain. The 39% reduction in readmissions paid for the project in 4 months."
Dr. Sarah Chen
CIO, Regional Health System
"Most vendors gave us a proof-of-concept and walked away. LTK Soft deployed a system that's been running flawlessly for 18 months."
Michael Torres
VP of Operations, National Insurance
"CJIS compliance isn't optional for us. LTK Soft built it in from day one, not as an afterthought."
Captain James Rodriguez
City Police Department
Technology & Capabilities
Large Language Models
We work with leading AI platforms (OpenAI GPT-4, Anthropic Claude, Google Gemini) and can fine-tune models for your specific industry needs—like medical terminology for healthcare or legal language for compliance.
Custom ML Models
When off-the-shelf LLMs aren't the right fit, we build custom predictive models using industry-standard frameworks (TensorFlow, PyTorch). Examples: fraud detection, demand forecasting, churn prediction.
Cloud & Deployment
We deploy on your preferred cloud platform (AWS, Azure, Google Cloud) with full MLOps automation—so models improve over time without manual intervention.
Compliance & Security
All implementations are built HIPAA/SOC 2–compliant from day one, with differential privacy, model explainability (know why the AI made a decision), and audit trails. Zero security breaches in 18 years.
Typical Timeline & Investment
Investment range: $12K – $35K
Pricing depends on complexity (custom models vs. API-based), data volume, integration scope, and compliance requirements. Discovery calls are free—we provide a detailed proposal after assessing your needs.
Our Commitment: Low-Risk AI Implementation
We know AI projects can fail. That's why we structure every engagement to minimize your risk:
START SMALL
$12K PoC validates feasibility before full build.
CLEAR GO/NO-GO
After pilot, we give an honest recommendation—even if it means walking away.
PRODUCTION GUARANTEE
We don't consider a project "done" until it's deployed and running in your environment.
NO VENDOR LOCK-IN
Full code and documentation transfer—you own everything.
90-DAY SUPPORT
Post-launch monitoring and fixes included so you're not left on your own.
Case Study Highlight
A regional hospital reduced avoidable readmissions by 39% using our AI-powered prediction model—saving $1.2M annually with 94% prediction accuracy. HIPAA-compliant from day one.
Read the full case studyFrequently Asked Questions
How We Get Started
30 min, free
We learn about your use case, data, and goals.
1 week
We analyze your data and provide an honest go/no-go recommendation.
6–8 weeks, $12K–$20K
Rapid prototype with real data to validate the approach.
12–16 weeks, $25K–$35K
Full system with MLOps, training, and handoff.
Ready to Move AI From Pilot to Production?
Schedule a 30-minute AI Readiness Assessment. We'll discuss your use case, data, and outcomes—no sales pitch, just technical clarity.
Schedule AI Readiness Assessment