Live · refreshed daily from 7 vendors
Real-world cloud & AI use cases, decoded.
Customer stories from Alibaba Cloud, AWS, Databricks, Google Cloud, Microsoft and more — collected every day and normalized into problems, architectures, products and measurable outcomes you can compare side by side.
- Customer stories
- 65
- Vendors tracked
- 7
- Industries
- 13
- In latest weekly batch
- 10
- Weekly archives
- 2
Latest
Newest customer use cases
OA OpenAI Sample Oct 10, 2026 Booking.com Booking.com needed a better way to understand traveler intent during early trip discovery, because rule-based search and hundreds of fixed filters worked only when customers already knew what they wanted and did not… Booking.com data covers the last 20 years AI Trip Planner · GPT models · GPT-4o mini OA OpenAI Sample Oct 10, 2026 Boston Children's Hospital Boston Children's needed to reduce the administrative burden of supply-chain, billing, and scheduling work while also helping clinicians reason through rare-disease cases where fragmented genetic data, incomplete… About 60,000 hours in time savings co-pilot geneticist · enterprise AI layer · secure internal ChatGPT environment OA OpenAI Sample Oct 9, 2026 Asana Asana needed to cut the cost and latency of its StackAI browser agent so it could offer customers more capable models for browser-driven workflows without unsustainable operating expense. $0.47 average estimated model cost with the optimized GPT-6.1 Sol workflow Codex · Command · GPT-6 Astra OA OpenAI Sample Oct 9, 2026 Sophos Sophos needed to investigate and respond to a growing volume of cyber threats faster, while scaling its expertise across every protected customer without matching growth in scarce analyst headcount. 52% of MDR cases resolved end-to-end by AI OpenAI Daybreak · OpenAI models · Sophos Fusion OA OpenAI Sample May 29, 2026 Braintrust Braintrust wanted to respond to customer feature requests faster and run more engineering experiments, but slower coding tools and backlog-driven workflows made it costly to turn feedback into working prototypes in real… 50% of the Braintrust team moved to Codex in one month Codex · GPT-5.5 MS Microsoft Sample Jan 13, 2026 Hertz Hertz needed to modernize hundreds of legacy processes—employee shift planning, roadside-assistance lookups across vehicle manuals on SharePoint, and payroll updates—to improve responsiveness for 26,000+ employees… 11,000+ rental locations in 160 countries Dataverse · Microsoft Copilot Studio · Microsoft Power Platform OA OpenAI Sample Dec 12, 2025 BNY BNY wanted to scale generative AI across a systemically important financial institution without treating it as a side experiment, so it needed a governed way for employees to build agents, use frontier models, and… 20,000 employees actively building AI agents ChatGPT Enterprise · Eliza · deep research MS Microsoft Sample Nov 18, 2025 Levi Strauss & Co. Levi Strauss & Co.'s push to become a fan-obsessed, direct-to-consumer brand created an influx of data that overwhelmed inconsistent end-user devices—employees experienced crashes when handling 20,000-line reporting… Monthly reporting task involves about 20,000 lines of data Copilot agents · Microsoft 365 Copilot · Microsoft Intune MS Microsoft Sample Nov 18, 2025 Ford Motor Company Ford's nearly 170,000 employees worked across multiple fragmented collaboration platforms—developers in one tool, business teams in another, meetings in a third—creating communication silos, slowing productivity, and… Nearly 170,000 employees unified on Microsoft Teams Microsoft 365 · Microsoft Teams · Microsoft Teams Premium MS Microsoft Sample Nov 18, 2025 AT&T AT&T's employees were spending too much time investigating across many search links to find answers, developers were debugging code line by line, and data flowed faster than humans could keep up. Leadership needed proof… 100,000+ employees actively using agents Azure AI Foundry · Azure AI Search · Azure API Management MS Microsoft Sample Sep 25, 2025 St. Luke’s University Health Network St. Luke’s—with 15 campuses, 300 outpatient sites, 23,000+ employees, and 2.5+ petabytes of patient data—needed unified, real-time visibility across a previously disconnected security stack so its SOC could anticipate… 15 campuses and 300 outpatient sites Azure Monitor & Log Analytics · Microsoft Defender · Microsoft Entra MS Microsoft Sample Sep 12, 2025 Bayer Bayer's agronomic advisors and frontline teams were spending hours or days navigating crop-protection labels that can exceed 100 pages, escalating to a small tech team and risking delays and errors when giving precise,… 5–10% productivity gains among early users Azure AI Foundry · Azure AI Foundry Models · Microsoft Cloud for Industry
8 illustrative sample profiles are marked “Sample” and excluded from insights.
Insights
Where vendors prove customer value
Aggregated across 65 customer stories. Click any bar to filter the explorer.
Top use-case categories
Stories by vendor
Most-cited products
Business outcomes claimed
Collection cadence
May 11
Oct 5
| Week of | Stories |
|---|---|
| May 11 | 55 |
| Oct 5 | 10 |
Industry × use case coverage
| Industry | Real-time Analytics | System Migration | IT Operations Automation | Enterprise Knowledge Search | Data Lake / Data Warehouse Modernization | Security and Compliance | Customer Service Automation | Application Refactoring | Total |
|---|---|---|---|---|---|---|---|---|---|
| Software / SaaS | 5 | 1 | 5 | 5 | 1 | 6 | 3 | 3 | 29 |
| Retail | 2 | 3 | 3 | 2 | 1 | 1 | 4 | 2 | 18 |
| Financial Services | 5 | 2 | 1 | 1 | 3 | 3 | 1 | 16 | |
| Media and Entertainment | 4 | 3 | 1 | 2 | 2 | 1 | 1 | 14 | |
| Consumer Goods | 4 | 2 | 1 | 1 | 2 | 10 | |||
| Education | 1 | 1 | 1 | 1 | 1 | 1 | 6 | ||
| Energy | 1 | 1 | 2 | 1 | 1 | 6 | |||
| Healthcare | 1 | 2 | 1 | 1 | 1 | 6 | |||
| Manufacturing | 2 | 1 | 3 | 6 | |||||
| Telecommunications | 1 | 1 | 1 | 1 | 2 | 6 | |||
| Automotive | 1 | 2 | 1 | 1 | 5 | ||||
| Public Sector | 1 | 2 | 1 | 1 | 5 | ||||
| Logistics | 1 | 1 | 1 | 3 |
Methodology
From customer story to comparable insight
The library refreshes every day. Each new story is turned into a structured profile, so you can see what was built, with which products, and what it delivered.
- 01
Track
New customer stories are picked up from leading cloud and AI vendors every day, newest first.
- 02
Read
Each story is read end to end — architecture details, measurable results and customer quotes included.
- 03
Structure
Every story becomes a consistent profile: business problem, solution architecture, products, outcomes and evidence.
- 04
Compare
Profiles are scored for maturity and grouped by week, so you can compare deployments across vendors and industries.
Find proven patterns for your next project.
Search by vendor, industry, use case or product, and go straight to the architecture and outcomes behind each deployment.