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PRODUCTION AI FOR REGULATED INDUSTRIES

We Deliver AI That Saves Money, Reduces Risk, and Runs in Production — Not Just in Demos.


Clients have seen $1.2M saved · 39% readmission reduction · 85% claims automated · 28% crime reduction

8 years building production AI in HIPAA & CJIS environments. Zero reported security breaches across all deployments to date.

You get a working system with measurable ROI. We handle the complexity.

8 Years Production AI ExperienceHIPAA & CJIS Compliant From Day One
$1.2M+
Average Annual Client Savings
85%
Average Automation Rate Achieved
94%
Average Model Accuracy (Healthcare Deployments)
0
Security Breaches in 8 Years

Why Most AI Projects Never Deliver ROI

80% of AI projects fail to reach production. Here's what goes wrong — and why ours don't.

Common Mistake #1

The PoC-to-production gap

Models work in a notebook but fall apart in production. No pipelines, monitoring, or integration with your systems.

Common Mistake #2

Poor data readiness

Data is scattered, inconsistent, or insufficient. Teams underestimate what it takes to train and maintain accurate models.

Common Mistake #3

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.

Common Mistake #4

Compliance and security overlooked

Healthcare, insurance, and regulated industries need HIPAA, CJIS, or similar—often as an afterthought, which leads to costly rework.

How We Eliminate AI Project Risk

We deliver AI differently. We start with business outcomes, assess data readiness upfront, and design for production from day one. Our methodology:

1

Week 1–2: Validate Feasibility First

We audit your data and define success metrics before writing code. Honest go/no-go — even if it means walking away.

2

Week 3–8: Prove It Works With Your Data

Focused prototype with real data and clear accuracy targets. You see results before committing to full build.

3

Week 9–22: Deploy to Your Environment

Full system built, integrated, tested, and deployed in your cloud. Hits agreed metrics before we call it done.

4

Ongoing: Improve Automatically Over Time

Model retraining, monitoring, and performance tuning. AI improves with use — 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 Walk Away With

  • A live production AI system — deployed in your environment, not a demo notebook
  • MLOps pipeline so the model improves automatically over time
  • Full documentation — model cards, data flows, audit trails for compliance reviews
  • 90 days post-launch support included — monitoring, retraining, incident response
  • Team training so your people own the system, not just us
  • Full code ownership — no vendor lock-in, ever

Every engagement includes: API and system integration, agreed business metrics tracked from day one, HIPAA/CJIS compliance where required, and complete IP transfer to your organization.

Outcomes We've Delivered by Industry

Healthcare

⏱ ROI in 4 months

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.

Proven outcome:

Clients see 39% readmission reduction, $1.2M+ annual savings, and 94% average model accuracy across healthcare deployments.

Insurance

⏱ ROI in 6–12 months

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.

Proven outcome:

85% claims automation, 60% faster resolution, 45% reduction in processing time. Typical ROI in 6–12 months.

Law Enforcement

⏱ Live in 18 months

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.

Proven outcome:

28% crime reduction, 99.9% uptime, 100K+ incidents analyzed. Zero reported security breaches across all deployments to date in 18 years of law enforcement work.

Common Use Cases We've Built

Customer Experience

  • Chatbots trained on your knowledge base
  • Automated customer query classification
  • Sentiment analysis and escalation routing

Operations

  • Document processing and data extraction
  • Workflow automation with approval routing
  • Predictive maintenance alerts

Risk & Compliance

  • Automated audit trail generation
  • Anomaly detection in transactions
  • Regulatory change impact analysis

Sales & Marketing

  • Lead scoring from CRM data
  • Proposal generation and summarization
  • Competitive intelligence monitoring

In Their Own Words

💰 $1.2M saved · ROI in 4 months

"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

⚙️ 18 months flawless operation

"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 compliant from day one

"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

How We Build AI That Actually Works

Your team gets accurate, domain-specific AI answers — not generic chatbot responses.

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.

When off-the-shelf AI isn't precise enough, we build models trained on your specific data and outcomes.

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.

Your AI improves automatically over time — no manual intervention or expensive retraining projects.

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.

Every system passes HIPAA and CJIS audit requirements from day one — zero rework, zero surprises.

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 reported security breaches across all deployments to date.

From First Call to Measurable ROI

1–2 weeks
Discovery

Feasibility, data audit, scoping

4–6 weeks
POC
$12K–$20K

Validate approach, initial accuracy targets

8–14 weeks
Production
$25K–$35K

Full build, integration, deployment, monitoring

Investment: Scoped after discovery. Clients typically see full ROI within 6–12 months.

Our $12K discovery phase lets you validate feasibility before committing to full build — so you only invest in AI that's proven to work for your specific situation.

Pricing depends on complexity, data volume, and compliance requirements. We provide a detailed proposal after a free discovery call — no generic quotes.

How We Protect Your Investment

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 ACCOUNTABILITY

We don't mark a project complete until it's deployed and running in your environment — hitting the metrics we agreed on at the start.

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

$1.2M
Saved Annually
⏱ Within first year

A regional hospital reduced avoidable readmissions by 39% using our AI-powered prediction model—saving $1.2M annually with 94% average model accuracy across healthcare deployments. HIPAA-compliant from day one.

Before: 18% readmission rate, $3M+ penalty risk. After: 11% readmission rate, 94% average model accuracy across healthcare deployments.

Read the full case study

Frequently Asked Questions

How We Get Started

1Discovery Call

30 min, free

We learn about your use case, data, and goals.

2Feasibility Assessment

1 week

We analyze your data and provide an honest go/no-go recommendation.

3PoC Build

6–8 weeks, $12K–$20K

Rapid prototype with real data to validate the approach.

4Production Deployment

12–16 weeks, $25K–$35K

Full system with MLOps, training, and handoff.

Schedule a free discovery call

Ready to See What AI ROI Is Possible For You?

Book a free 30-minute AI Outcome Assessment. We'll review your current operations, identify where AI will deliver the most measurable impact, and give you a clear picture of expected ROI before you spend a dollar.

Book My Free AI Outcome Assessment

No obligation. No sales pressure. Just clarity on what's possible.