Case Studies

Real transformations,
real results

See how leading enterprises achieved measurable outcomes with Derived Mind Technologies.

FC

FinCore Banking

Financial Services

The Challenge

FinCore's loan processing team was drowning in 14-day average processing times, manual document review, and a growing compliance burden. With loan volume up 40% YoY, the team couldn't scale.

Our Approach

Derived Mind Technologies deployed an AI document analysis agent that extracts, validates, and scores loan applications automatically. Integrated with their core banking system via API in 3 weeks.

Technology Stack

AI Document AnalysisAutomation EngineAWS LambdaSalesforce Integration

Results

  • Processing time: 14 days → 2 hours
  • 70% reduction in operational costs
  • $4.2M annual savings in Year 1
  • Zero compliance violations in 18 months
70%
Cost Reduction
2 hrs
Processing Time
$4.2M
Annual Savings

"Derived Mind Technologies transformed our loan operations. We went from dreading audit season to welcoming it."

— James Harrington, CTO, FinCore Banking
ML

MedLogix

Healthcare

The Challenge

With 50,000+ patient inquiries per month, MedLogix's support team was overwhelmed. Wait times exceeded 40 minutes. Patient satisfaction had dropped to 62%.

Our Approach

Deployed AI Voice Agents to handle tier-1 inquiries including appointment scheduling, prescription refills, and FAQ. Human agents focus only on complex clinical cases.

Technology Stack

Voice AI PlatformAI Chat AgentsEHR IntegrationTwilio

Results

  • 92% first-contact resolution rate
  • Patient satisfaction from 62% → 94%
  • 5× agent productivity increase
  • 24/7 availability at no additional cost
5×
Productivity
92%
Resolution Rate
24/7
Availability

"Our patients now get answers instantly, day or night. Our clinical team finally focuses on patient care."

— Dr. Priya Mehta, VP of Operations, MedLogix
RM

RetailMax

E-commerce

The Challenge

RetailMax operated across 12 disconnected data platforms — no unified view of customer behavior, inventory, or revenue. Leadership was making decisions on week-old reports.

Our Approach

Built a unified Data Intelligence layer aggregating all 12 sources in real time. AI dashboards deliver daily forecasts and anomaly alerts directly to leadership.

Technology Stack

Analytics PlatformData IntelligenceApache KafkaSnowflake

Results

  • 100% data coverage from day 1
  • Real-time executive dashboards
  • 3.8× revenue growth in 18 months
  • Inventory waste reduced by 55%
3.8×
Revenue Growth
55%
Inventory Savings
Real-time
Insights

"We went from gut-feel decisions to AI-driven strategy. Revenue grew 3.8× in 18 months."

— Sarah Chen, Chief Data Officer, RetailMax

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