AI Case Studies

Real projects with measurable outcomes. We build AI systems that work in production — not just in demos. Here's the proof.

Financial Services 12 weeks

AI-Powered Document Processing for a Fintech Platform

85%

Automation rate

18x

Faster processing

94%

Extraction accuracy

$1.2M

Annual savings

Challenge

A fast-growing fintech platform processing thousands of loan applications daily was bottlenecked by manual document review. Compliance officers spent 45+ minutes per application.

Solution

We designed a multi-model AI pipeline combining OCR, LLM-based extraction, and rule-based validation with a RAG layer for regulatory guidance.

Results

The platform now processes 85% of applications without human intervention. Average processing time dropped from 3 days to 4 hours.

"Crazy Unicorns didn't just build us an AI tool — they re-engineered our entire document workflow. The accuracy exceeded our expectations."

— VP of Operations, Series B Fintech Company

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E-Commerce & Retail 10 weeks

Autonomous Customer Support Agent for E-Commerce

72%

Tickets resolved autonomously

<30s

First response time

4.4/5

CSAT score (was 3.6)

40%

Support cost reduction

Challenge

A D2C brand with 200K+ monthly orders struggled with customer support scalability. Response times averaged 8 hours and CSAT scores were declining.

Solution

We built an autonomous AI support agent powered by a fine-tuned LLM with access to order management, shipping, and product knowledge bases.

Results

The AI agent resolves 72% of support tickets autonomously. First response time dropped from 8 hours to under 30 seconds.

"The AI agent handles the majority of our support volume with quality that matches our best human agents."

— Head of Customer Experience, D2C E-Commerce Brand

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Manufacturing & Industrial 16 weeks

Enterprise Knowledge Management System with RAG

91%

Answer relevance

75x

Faster information retrieval

12K+

Daily queries served

40%

Faster onboarding

Challenge

A Fortune 500 manufacturer with 50,000+ employees had critical knowledge scattered across 15+ data sources. Engineers spent 2.5 hours daily searching for documentation.

Solution

We designed an enterprise RAG system with hybrid search, domain-specific embeddings, and LDAP/AD access controls across all data sources.

Results

Engineers find answers in under 2 minutes instead of 2.5 hours. The system serves 12,000+ queries daily with 91% relevance scores.

"This system transformed how our engineers access knowledge. What used to take hours now takes seconds."

— CTO, Fortune 500 Manufacturing Company

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