Case Studies · Google · Big Tech

Six Projects.
Three Pillars.
Measurable Impact.

From LLM-powered QA automation to fraud detection at scale — each project is a proof point, not a proof of concept.

$3.7M→$30M Economic impact
200+ Reviewers empowered
32 products QA automation coverage
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Also explore 24 AI-assisted projects → built across 13 domains
Production AI Google
Project 01

Generative AI for Quality Automation

LLM-powered evaluation system replacing manual vendor review of customer service conversations — covering 32 products, 76 workflows, and multiple languages simultaneously using Gemini, RAG, and async batch inference.

$3.7M → $30M
Estimated economic impact
Gemini RAG Vertex AI Flume Async Batching
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Enterprise AI Google
Project 02

Signal Metadata Repository

Centralized platform for managing ML signals across support systems — six integrated layers covering ingestion, storage, quality monitoring, discoverability, and alerting for data scientists across teams.

Unified
ML signal platform · Accelerated dev cycles
Flume Dataflow C++ TVFs ML Platform APIs Microservices
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Enterprise AI Google
Project 03

Personalized Help Experiences

Hybrid ML + heuristics personalization engine delivering context-aware help recommendations across support surfaces — with cross-product signal federation and privacy-compliant architecture.

Millions
Users served daily · Reduced support costs
TensorFlow Servo Java Rule Engines Signal APIs
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Production AI Google
Project 04

Ecommerce Refunds on Assistant

Fully automated conversational refund lifecycle via Assistant chatbot — custom NLU model, hybrid dialog system, and deep ecommerce integration eliminating live agent involvement for standard refund cases.

VP Award
Significant contact deflection · Reduced opex
Conversational AI NLP / NLU Java RPC Services Dialog Systems
★ VP Award Winner Read Case Study →
Enterprise AI Google
Project 05

Differentiated Care Signals

Behavioral segmentation signals enabling tiered support experiences for high-value users — spend-based HVU classification replacing legacy criteria, with Privacy Working Group compliance embedded from design.

Privacy-first
Behavioral segmentation · Improved HVU targeting
Signal Engineering Atlas Platform Privacy Frameworks Data Warehouse
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Production AI Google
Project 06

AdWords Fraud Detection

Anomaly detection platform and account review tool empowering 200+ fraud analysts — graph-based relationship scoring, ring/chain visualization, and bulk suspension workflows protecting the ad exchange ecosystem at global scale.

200+ reviewers
Millions of accounts protected · VP Award
Java AngularJS Flume Apache Beam Graph Visualization
★ VP Award Winner Read Case Study →

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