Google Cloud Consulting
AI Implementations & Use Cases
Hyperscaler mix
Filter Google Cloud Consulting's implementations by Microsoft, AWS, or GCP provider evidence.
How Google Cloud Consulting builds AI
Build / Buy / Compose across this partner's documented cases
8 of 8 cases classified (100%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
−44%
Cost savings
median · 3 metrics
+11.7%
Time & speed
median · 2 metrics
+550%
Revenue & growth
median · 2 metrics
Medians of results published in Google Cloud Consulting cases, normalized for comparability. See all benchmarks →
Evidence persistence
2 of 2 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
All Use Cases (8)
Color (Color Medical) built a Vertex AI Agent Builder breast cancer screening assistant for virtual cancer clinic
Color Health (Color Medical) and its affiliated medical group Color Medical operate a virtual cancer clinic delivering clinically guided cancer care across all 50 states.The company built an AI-powered breast cancer screening assistant using Vertex AI Agent Builder, the Agent Development Kit (ADK), and Gemini LLMs.The agent determines whether women are due for a mammogram, connects them with clinicians, and schedules care in real time.Google Cloud said the team scaled the solution into production with Vertex AI Agent Engine for production scaling and observability.
Seattle Children’s Hospital: Pathway Assistant multimodal clinical pathways chatbot with Gemini
Seattle Children’s Hospital and Google Cloud built Pathway Assistant, a multimodal AI chatbot for clinical pathways.The assistant uses Gemini to extract metadata from PDFs, stores the secure document library in Google Cloud Storage, and grounds answers in pathway documents including diagrams and flowcharts.
Apollo 24|7 Clinical Intelligence Engine: MedLM + RAG with Vertex AI Vector Search
Apollo 24|7, the largest multi-channel digital healthcare platform in India, is building a Clinical Intelligence Engine to support clinical decisions and assist clinicians with primary care, condition management, home care, and wellness.To reduce hallucinations and preserve patient context, Apollo classified de-identified discharge notes by sectional information, summarized clinical concepts with PaLM 2, embedded the summaries, stored them in Vertex AI Vector Search, and retrieved nearest neighbors at query time to provide additional context to MedLM.Clinicians tested the solution through a web UI, and after iterative feedback Apollo added prompt engineering and schema engineering guardrails to make responses more robust and assistant-like.
Deloitte & Google Cloud: Redacting PII in Dialogflow CX via Contact Center AI Security Settings and Cloud DLP
Deloitte Canada and Google Cloud describe a production-ready approach to prevent sensitive information from being stored in Dialogflow CX logs.The article explains that contact center conversations can include PII, PHI, PCI, and other confidential information in intent/form parameters, session parameters, webhook data, and fulfillment response messages, and that these values can propagate into Google Cloud Logging unless redacted at the source.
GCPRichemont: AI-curated product suggestions using Google Cloud ML for retail client engagement
Richemont International SA used Google Cloud and AI/ML capabilities in an integrated Client Platform to improve customer experience across online, offline, and boutique journeys.Machine learning algorithms predicted which prospects or clients needed extra attention and what items to suggest, using engagement data such as email opens, clicks, SMS/MMS, and website visits.The solution was deployed across 11 brands in over 25 countries to support conversion, repurchase, and client loyalty.
GCPUSAA modernizes auto insurance claims with Vertex AI autoML and computer vision
USAA worked with Google Cloud to modernize auto insurance claims operations by turning vehicle-damage images and claim data into repair-or-replace predictions and repair labor-hour estimates.The solution combined machine-readable damage outputs from an existing vision service with structured claim and vehicle attributes to improve claims processing and create a smoother customer and appraiser experience.
GCPFreshworks: Analyzing customer touchpoints and sales performance with Google Cloud
Freshworks, a global SaaS company, built a Google Cloud data infrastructure to analyze and optimize customer touchpoints across marketing and sales.The company centralized CRM, website, analytics, and advertising data in BigQuery to create a full lifecycle view of customer interactions and support self-service reporting.
GCPChiba Bank accelerates AI transformation with Google Cloud Advanced Solutions Lab
Chiba Bank partnered with Google Cloud Consulting's Advanced Solutions Lab to upskill its workforce in AI and machine learning through hands-on training and prototype development.Developed AI prototypes including a Gemini Pro-based chat function for internal administrative queries and a generative AI system for creating advertising creatives.The training enhanced employee AI skills, fostering an innovation culture and enabling faster adoption of AI to improve customer satisfaction and efficiency.