Impact Studies

Measurable outcomes from AI transformations

Mickey Blakes

Build AIAI Consulting
Retail

Challenge

Optimize product recommendations for premium cigar inventory

Solution

Recommendation Engine

Approach

Developed a collaborative filtering system with deep learning to analyze purchase patterns and customer preferences across 10,000+ SKUs. Deployed across a fleet of cigar stores for unified customer intelligence.

Impact

Customers find what they want
Staff recommend with confidence
Inventory moves efficiently
Operations run on data

Technology Stack

PyTorchAWS SageMakerPostgreSQL

Synthefy

Signal
SaaS

Challenge

Scale B2B lead generation with intelligent prospecting

Solution

AI Agent Network

Approach

Deployed Signal AI agents to research, qualify prospects, and generate optimal outreach messages across multiple channels

Impact

Research and outreach ready on demand
Agents research while teams sleep
Qualified leads with optimal messaging
Sales focuses on relationships

Technology Stack

Signal PlatformLLM OrchestrationMulti-Agent Systems

Regenesys

Build AIAI Consulting
Media Transformation

Challenge

Automate complex 3D media transformations at enterprise scale

Solution

Custom Transformer Architecture

Approach

Built specialized neural networks for point cloud to CAD conversion, enabling automated processing of industrial 3D assets

Impact

Faster processing with high accuracy
AI does first draft
Teams focus on details
Quality stays human-level

Technology Stack

Transformer ModelsAutodesk

Results based on actual implementations. Individual outcomes vary by use case.