Live · refreshed daily from 54 vendors

Find AI deployments worth learning from.

For strategy, product, architecture and go-to-market teams: turn scattered customer stories from Microsoft, Google Cloud, OpenAI, IBM, AWS and more into comparable evidence about the problem solved, what was built, and whether the reported value is credible.

The decision problem

From marketing claims to usable customer evidence

Use the library to shortlist relevant deployments, inspect the architecture and outcome, then validate every important fact against its source before applying the pattern to your customer.

01

Who it is for

AI strategy, product, architecture, sales and research teams evaluating what has actually been deployed for customers like theirs.

02

How to use it

Filter by industry or use case, compare customer reference value, inspect the confidence breakdown, and open the cited sources before making a recommendation.

03

How to stay current

Subscribe to RSS for newly collected stories; the catalog refreshes daily and retains retrieval timestamps.

Latest

Newest customer use cases

OpenAI Oct 20, 2026 Ted Taylor (independent Schlotzsky's and Cinnabon franchisee) Travel and Hospitality North America Operating three co-branded restaurants required time-consuming work across menu pricing, labor analysis and scheduling, cash reconciliation, payroll, policies, and supply or repair requests. $100K maximum annual cash flow that could be freed up with optimized labor workflow unknown ChatGPT · ChatGPT Work In-house Oct 16, 2026 Mercedes-Benz Automotive Not documented Mercedes-Benz needed to digitalise global product development, connect development, procurement, production, sales, and after-sales data end to end, and help teams make better decisions earlier so new products and… efficiency gains of up to 50 percent expected in individual engineering processes AI agents · CONTACT Elements · PLM.AI OpenAI Oct 16, 2026 Benefit Street Partners Financial Services North America Benefit Street Partners needed to answer investment-committee follow-up questions faster, compare lender marks across shared loans, and review 300-page credit agreements for clauses that could shift value away from… 10–12 hours total. Document ProcessingRisk Management BDC mark tracker · Codex · Credit agreement analyzer OpenAI Modified · Oct 16, 2026 Grupo Boticário Retail Latin America Grupo Boticário needed to support a complex multi-brand reseller and franchise ecosystem across many channels while reducing repetitive operational work and preserving the human relationships that drive sales and… 100% of conversations generated in appchat and WhatsApp Enterprise covered since November 2025 Customer Service AutomationSales Automation OpenAI foundation models · WhatsApp Enterprise · appchat OpenAI Oct 16, 2026 Itaú Financial Services Latin America Itaú needed to make financial guidance simpler and more personalized for millions of customers while also scaling document-heavy internal workflows, all under the governance, observability, and economic controls… 100% of the customer base is the goal by the end of 2026 Customer Service AutomationDocument Processing Customer DNA · IARA · OpenAI models OpenAI Modified · Oct 16, 2026 Localiza Travel and Hospitality Latin America Localiza needed to turn generative AI into a company-wide operating model that could improve internal work, create new conversational customer entry points, and support AI-native products without treating the technology… 130 squads Customer Service AutomationSales Automation ChatGPT · Codex · Liza Google Cloud Archived · Oct 16, 2026 Alta Software / SaaS United States Alta needed a transactable Google Cloud Marketplace path for its AI and technology spend management platform without pulling its product team off core forecasting work, while also helping finance and IT leaders… Saved 125 engineering and 60 project management hours IT Operations AutomationReal-time Analytics Cloud Pub/Sub · Cloud Run · Cloud SQL Microsoft Oct 15, 2026 Bar-Ilan University Education Israel Students who miss lectures struggle to reconnect new lessons with prior material when course information is spread across notes, recordings, slides, and readings, and lecturers need a reliable way to answer routine… 71 courses Document ProcessingEnterprise Knowledge Search Azure AI Services · Microsoft Azure · Microsoft Copilot Studio OpenAI Oct 15, 2026 Sullivan & Cromwell Commercial and Professional Services North America Sullivan & Cromwell needed to review draft agreements against relevant precedents, client priorities, and market practice in one workflow so lawyers could do deeper legal analysis without losing transparency into… Document ProcessingRisk Management Agreement Analyzer · ChatGPT Enterprise OpenAI Oct 14, 2026 Block Financial Services North America Block needed to shrink the time required to tune detections, investigate alerts, and move from a high-level vulnerability description to a validated patch, while reducing the analyst effort consumed by false positives… 18 minutes from submitting a high-level vulnerability to an automated proposed patch IT Operations AutomationSecurity and Compliance Block security harness · Codex · OpenAI Daybreak OpenAI Oct 14, 2026 SentinelOne Software / SaaS North America SentinelOne needed to reverse engineer sophisticated malware far faster than specialist researchers could do manually so it could investigate more samples, spot relationships across threats, and extend scarce cyber… 8 hours to reverse-engineer malware, down from 4–6 weeks Risk ManagementSecurity and Compliance OpenAI Daybreak · OpenAI models Anthropic Oct 13, 2026 DXC Technology Commercial and Professional Services United States DXC needed to build a production-scale agentic operations platform for managed services where specialized AI agents could coordinate complex enterprise IT workflows while meeting enterprise security, compliance,… 20% to 30% IT Operations Automation Claude Code · DXC OASIS · ITSM agent

Auto-Generated Multi-Dimensional Intelligence

Where AI delivers quantified customer value

Quantified ROI benchmarks across 9,295 verified metrics

Median and 75th-percentile percentage improvements extracted automatically from customer-stated outcomes.

85% of stories report metrics

Cycle Time & Latency Reduction

Faster response, processing, turnaround, or deployment times.

909 stories
61% Median % Gain
87% P75 Top-Quartile
151 2x–100x Claims

Productivity & Time Saved

Engineering, analyst, or frontline staff hours saved and output gains.

445 stories
40% Median % Gain
70% P75 Top-Quartile
48 2x–100x Claims

Automation & Resolution Rate

Self-service containment, automated handling, and model precision/accuracy.

449 stories
80% Median % Gain
95% P75 Top-Quartile
11 2x–100x Claims

Cost & Infrastructure Efficiency

Direct operating cost, compute/storage TCO, and financial savings.

780 stories
50% Median % Gain
80% P75 Top-Quartile
31 2x–100x Claims

Revenue, Conversion & Experience Lift

Top-line growth, conversion rate, retention, CSAT, and NPS improvements.

304 stories
40% Median % Gain
81% P75 Top-Quartile
37 2x–100x Claims

Scale & Throughput Capacity

Volume of documents, transactions, queries, or users handled at scale.

773 stories
66% Median % Gain
87% P75 Top-Quartile
41 2x–100x Claims

6-Layer architecture components

10,172 mapped deployment components.

top product per layer
  • Ingest · 300 stories Top: MuleSoft (12), Pub/Sub (12), Spark Declarative Pipelines (11)
    354
  • Compute · 1,933 stories Top: Azure OpenAI Service (162), IBM watsonx.ai (101), Amazon Bedrock (95)
    3,364
  • Storage · 894 stories Top: BigQuery (137), MongoDB Atlas (89), Delta Lake (85)
    1,108
  • Serving · 1,721 stories Top: Power BI (63), Microsoft Teams (60), Databricks SQL (50)
    2,926
  • Orchestration · 1,211 stories Top: Gemini Enterprise Agent Platform (50), Gemini platform (48), Microsoft Dynamics 365 (37)
    1,597
  • Governance · 434 stories Top: Unity Catalog (107), IBM watsonx.governance (14), NVIDIA AI Enterprise (9)
    539

Top co-deployed product pairs

AI models and platforms most frequently combined in production.

product co-occurrence

Methodology

Transparent by design

Scores expose the strength and traceability of available evidence, not certainty or guaranteed ROI. A complete first-party source can score well without an artificial multi-source requirement.

  1. 01

    Track

    New customer stories are picked up from leading cloud and AI vendors every day, newest first.

  2. 02

    Trace

    Claims are linked to named sources, publication dates and retrieval timestamps so provenance stays visible.

  3. 03

    Score

    Evidence confidence and customer reference value are scored separately with a visible, deterministic rubric.

  4. 04

    Compare

    Use consistent problems, architectures, products and outcomes to find repeatable patterns—not just polished stories.

Find the strongest reference for your customer.

Search by vendor, industry, use case or product, then compare value, evidence confidence, architecture and source provenance side by side.