Every entry has a company, a situation, the tools they used, and a measurable result. No theory.
250 cases
BambooHR built an AI-powered HR assistant using Cohere's Embed and Rerank models to answer employee questions accurately, saving HR teams thousands of hours while handling sensitive data securely.
Pfizer achieved a 93% database reduction and 20% cost avoidance by migrating their global SAP environment to S/4HANA on IBM Power10 infrastructure.
Blue Origin deployed 2,700+ AI agents with 70% company-wide adoption, achieving a 90% reduction in hardware development time using Amazon Bedrock.
AWS LambdaAmazon EKS+4Luminate, the entertainment data company behind the Billboard music charts, migrated from on-premises infrastructure to Snowflake to unify 3.5TB of daily data across music, film, and television. The move delivered 334% faster daily processing, reduced market report turnaround from a full month to overnight, and enabled cross-industry analytics the company could not previously perform.
Confluent, a data streaming platform company with 2,000+ employees and 4,000+ customers, deployed Glean to solve the knowledge fragmentation that came with rapid growth from 250 to 2,000+ employees across 20+ systems. Glean indexed the company's full tool stack — Slack, Salesforce, Confluence, and more — enabling instant knowledge retrieval across all teams. The result: 15,000+ hours saved monthly, a 13% increase in support team satisfaction, and over 70% employee adoption.
Elation Health migrated its Clinical Insights feature to Claude, achieving a 61% reduction in time-to-first-insight for chart review and doubling adoption among clinicians. The platform serves 46,000+ clinical users across 50 states, helping primary care physicians synthesize dense patient histories before appointments.
Lockheed Martin consolidated 46 disparate data management systems into a single integrated platform with IBM, reducing data and AI tools by 50% and enabling 10,000 engineers to build and deploy AI solutions using IBM Granite models.
Classmethod, a leading Japanese cloud integrator, deployed Claude Code across its engineering teams to address chronic developer shortages. The tool automated code generation, review, and testing workflows, reducing development time by up to 90% on specific tasks and cutting code review time by 80%.
Lusha is a B2B sales intelligence platform with 1.5 million users and a database of over 200 million business contacts. By deploying Elasticsearch as both a full-text search engine and a vector database for AI-powered lead recommendations, Lusha helps customers generate 300% more leads, achieve conversion rates up to 10x higher, and realize return on investment of up to 1,000%.
Petrobras applied generative AI and intelligent automation to its tax department, feeding 150 pages of Brazilian tax regulations and three months of financial data into a model built on Automation Anywhere, Amazon Bedrock, and Amazon SageMaker. In three weeks, the system identified $120 million in tax savings and filed taxes within three days—the first time in 15 years the team avoided weekend work during tax season. The company projects over $1 billion in total savings by year-end.
Amazon SageMakerAmazon Bedrock+1The U.S. Missile Defense Agency partnered with C3 AI to deploy a generative AI platform for missile threat modeling and simulation. The solution delivers a 1000x increase in available threat data and reduces data generation time from weeks to minutes. This capability enables MDA to stress-test missile defense systems at unprecedented scale in secure, classified environments.
Polaris Transportation Group, a North American LTL cross-border freight carrier, deployed UiPath automation across customs clearance, order creation, and freight documentation workflows. The program automated 85% of customs documents, reduced order creation time by 90%, and enabled 30% of orders to flow through with no employee intervention.
Scuderia Ferrari HP partnered with IBM Consulting to reimagine their mobile fan app using IBM watsonx AI, delivering AI-generated race summaries, personalized content, and interactive features that doubled daily active users and increased in-app engagement by 35%.
Camping World deployed IBM watsonx Assistant as a virtual agent named Arvee across all web properties, increasing customer engagement by 40% and improving agent efficiency by 33%.
State Bank of India partnered with IBM to build YONO, a comprehensive mobile platform combining banking, financial services, and marketplace that achieved 64 million downloads and a USD 40-50 billion valuation.
Nextdoor, the neighborhood social network, deployed Glean as a unified Work AI layer embedded directly into the tools employees already use. Rather than mandating adoption, the team built a self-reinforcing learning loop of Slack channels, live office hours, and quick-win storytelling that turned early experimentation into company-wide AI habits — with engineering productivity gains of 2–3x and RevOps workflows shrinking from hours to minutes.
Apollo integrated Claude 3.5 Haiku into its sales engagement platform to power intelligent, personalized messaging and prospect research at scale. The AI-driven features help sales teams write highly effective outreach without requiring technical expertise, generating over 5 million Claude-powered messaging actions per month. Customers using Claude-powered messaging saw a 35% boost in meeting bookings and a 15% increase in retention rates.
UFC partnered with IBM to build the UFC Insights Engine using IBM watsonx Orchestrate, tripling insight volume while reducing query generation time by 40% across 40+ annual live events for 700 million fans worldwide.
Moderna partnered with IBM Quantum to explore quantum computing for mRNA sequence optimization, achieving record-breaking simulations of 60 nucleotide sequences on 80 qubits and advancing toward practical quantum advantage in drug development.
EVERSANA built the first AI-powered marketing agency platform on Google Cloud using three master AI agents that create complete pharma campaigns in 30 minutes.
Hostinger partnered with Anthropic to build Hostinger Horizons, an AI-powered platform that converts natural language prompts into complete, functional websites and applications. The solution eliminates the steep learning curve of traditional web builders, enabling non-technical users to create professional online presences in minutes instead of days.
Alpiq, a Swiss energy services provider with 1,200 employees, replaced five separate monitoring solutions with Datadog as its company-wide observability platform. After deploying the Datadog Mule® Integration to bring MuleSoft monitoring into Datadog, the team achieved full end-to-end visibility and reduced mean time to detect issues by 25–30%.
Rakuten integrated OpenAI Codex into incident response, CI/CD pipelines, and autonomous development — cutting mean time to recovery by 50% and compressing quarter-long projects into weeks.
Mediq, an international healthcare company operating across 14 European countries, formalized a group-wide Center of Excellence for automation in 2024 built on UiPath. By year-end the CoE ran 55 automations saving 55,000 hours annually, with UiPath Document Understanding processing sales orders at 98% accuracy across regulated healthcare supply chains.
Cogent built an AI-powered cybersecurity platform with Claude as the reasoning layer, reducing critical vulnerability exposure from days/weeks to minutes — a 97% reduction — while reclaiming 40+ hours monthly from manual reporting.
Postman selected Claude Opus 4.6 as the default model for Agent Mode, saving developers up to 1,150 hours per year and nearly $1M annually for a 10-person team in API development automation.
Amazon BedrockNorges Bank Investment Management deployed Claude Enterprise to 600+ employees across all departments, achieving 20% weekly time savings on analytical and operational tasks. The $1.7 trillion sovereign wealth fund uses Claude for investment research synthesis, ESG compliance across 9,000 portfolio companies, and multilingual information processing. Business users can now prototype AI solutions independently without IT bottlenecks.
Draftwise, an AI-powered contract drafting and negotiation platform, built its Smart Draft product on Cohere’s Command, Embed, and Rerank models to enable semantic search and AI-generated contract language grounded in clients’ own document libraries. The system delivered a 30% improvement in search result quality and tripled API usage within a single quarter.
Campfire embedded Claude into its accounting platform to automate monthly closes, bank reconciliation, and financial reporting. Customers now close their books 3 days faster, reconcile bank statements 90% faster, and generate reports 50% faster. Claude powers Ember, Campfire's AI chat interface for natural language financial queries.
Cox Automotive deployed 17 production AI agent solutions using Amazon Bedrock AgentCore, reducing estimate completion from 48 hours to 30 minutes, achieving 3x consumer response rates, and projecting 17,000 hours saved.
Amazon Bedrock AgentCoreAmazon BedrocknCino, a cloud-based banking platform serving 2,800+ financial institutions, built domain-specific AI tools on Databricks and AWS leveraging 13 years of proprietary banking data. Their Banking Advisor delivers role-based AI insights natively within the platform, while Continuous Credit Monitoring automates risk alerts across the loan lifecycle. The result is 3.5x faster document processing and a shift from reactive to proactive portfolio management.
AWSN26 deployed Claude via AWS Bedrock across 15+ internal use cases in its first year, automating up to 70% of tasks in targeted customer service processes and cutting manual processing by 50% across 24 European markets. New AI implementations now go from ideation to evaluation in 1–2 weeks.
Amazon BedrockPenske Logistics migrated to Snowflake and leveraged Cortex AI to build a gen AI summarization model in under 15 days, generating company-wide BI reports spanning 5 years in just 15 minutes.
Zapier deployed Claude Enterprise and Claude Code company-wide, achieving 89% AI adoption across all employees — the highest adoption rate in company history. The automation platform now runs 800+ internal AI agents and saw 10x year-over-year growth in Anthropic app usage. Adoption began grassroots before a formal rollout.
ArisGlobal, an AI-first life sciences software company serving global pharmaceutical organizations, deployed Datadog APM, App Builder, Workflow Automation, and On-Call to enhance observability and automate operations for its LifeSphere platform. Automated incident remediation cut diagnostic file collection from 45–60 minutes to near-instant, and the team achieved 100% automation of previously manual operational tasks.
Fiserv built safe, scalable AI automation on UiPath Platform with built-in governance, avoiding $10M in SLA penalties and onboarding 20,000+ QSR locations on schedule.
Medlitix implemented UiPath medical record summarization with DeepRAG, cutting clinical review from 70 minutes to 6 minutes per case (90% faster) with 95% accuracy and $1.2M savings.
Section, an AI workforce transformation company, deployed Claude internally and across client programs, achieving 82% team adoption versus a 5% industry benchmark and 50% of employees gaining at least 10% productivity improvements. Claude powers ProfAI, their AI coaching product, and informs the upskilling programs they deliver to enterprise clients.
Trellix, a global cybersecurity firm serving 40,000+ enterprise customers, built Sidekick — an internal agentic platform powered by LangGraph and LangSmith — to automate log parsing and security integration development. What previously took engineers 2–3 days per request now takes minutes, and plugin development that spanned multiple days now completes in a single afternoon.
Beamy, a French technology scale-up, built its AI-driven Business Transformation Platform on Google Cloud—using Vertex AI, BigQuery, Cloud Run, and Looker—to give enterprises visibility into how employees actually use applications across their IT landscape. Deployed at organizations like Veolia, the platform uncovered 6,000+ applications beyond official IT inventories and helped prioritize over 1,000 AI initiatives based on real usage patterns.
Thomson Reuters integrated Claude via Amazon Bedrock into its AI platform, CoCounsel, to make the expertise of 3,000+ subject matter experts and 150 years of authoritative content accessible to legal and tax professionals. The solution combines Retrieval-Augmented Generation (RAG) architecture with multi-model deployment to deliver comprehensive, accurate professional analysis. Early adopters report dramatic efficiency gains, with some estimating task time cut in half or more.
Attention built an AI-powered sales platform using Claude as its core reasoning engine, automating post-call admin work and delivering actionable sales intelligence at scale. By replacing manual CRM updates, follow-up emails, and coaching reviews with Claude-driven agents, Attention has saved over 1.6 million hours of admin work. Customers report up to 40% improvements in win rates thanks to AI outputs accurate enough to trust in live deals.
C.H. Robinson, one of the world's largest logistics providers managing 37 million shipments annually, built AI agents using LangChain and LangGraph to automate email-based shipment orders end-to-end. The platform now processes approximately 5,500 orders per day automatically, saving more than 600 hours of manual email processing work daily.
The United Network for Organ Sharing (UNOS) leverages the ServiceNow AI Platform to coordinate thousands of organ transplants across the U.S. every year. By centralizing case management, enabling self-service portals, and deploying AI-powered IT operations, UNOS has quadrupled its case management capacity while managing nearly 300,000 support cases since 2018. The platform helps UNOS fulfill its 24/7 mission of saving lives with greater speed, accuracy, and efficiency.
Raiffeisen Bank International (RBI), one of Central and Eastern Europe's largest banking groups, migrated its fragmented analytics estate across multiple countries to Databricks SQL. The result was a 3–4x improvement in average SQL query performance, 30–40% faster time to insight for analysts, and a 5x reduction in analytics total cost of ownership compared to its previous cloud solution.
Vodafone, a telecommunications company serving over 340 million customers, built two AI assistants using LangChain and LangGraph to support engineers managing data centers across Europe. The Insight Engine converts natural language queries into SQL for real-time performance analysis, while Enigma retrieves technical documentation from SharePoint. Together they have reduced time-to-insight for infrastructure issues and eliminated engineers’ dependence on custom dashboards.
Yoodli is an AI-powered experiential learning platform that helps enterprise sales teams practice high-stakes conversations before they happen. By integrating Claude into its real-time roleplay engine, Yoodli delivers realistic AI personas that coach reps at scale — helping customers like Snowflake and Google Cloud achieve measurable performance gains.
Engine, a B2B travel platform handling 500,000+ annual traveler requests, deployed an Agentforce AI agent called Eva that autonomously manages over 30% of customer cases end-to-end. The implementation reduced average handle time by 15%, lifted CSAT from 3.7 to 4.3, and delivered $2M in estimated annual cost savings — all within a 12-day deployment timeline.
Shopify built Sidekick, an AI commerce assistant powered by Claude Sonnet on Google Vertex AI, enabling millions of merchants to reach their first sale in days instead of weeks.
Gordon Food Service deployed Gemini Enterprise across 7,000 employees, saving 20,000+ hours monthly through AI-powered digital co-workers with no-code agent creation.
Intermountain Health deployed Microsoft Dragon Copilot to 2,500+ clinicians, reducing time spent on notes by 27% per appointment and fighting clinician burnout with AI-generated clinical documentation.
Chipper Cash, a fintech serving over five million customers across Africa, deployed a Pinecone-powered facial similarity search system to detect and block fraudulent duplicate sign-ups in real time. The solution slashed identity verification latency from up to 20 minutes down to under 2 seconds, and reduced fraudulent sign-ups by 10x across all markets.
1up, a sales knowledge automation platform, integrated Pinecone's vector database to power a RAG-based system that delivers real-time, highly accurate answers to complex sales queries. The solution replaced a slow, home-grown embedding system and achieved 10x faster response generation for RFPs and compliance questionnaires. Sales reps can now handle high volumes of queries with confidence, reducing reliance on colleagues and accelerating the go-to-market process.
AWSAsana built AI Teammates — autonomous agents powered by Claude Opus 4.6 — that work alongside human teams within existing Asana workflows. The agents handle campaign brief drafting, launch tracking, compliance review, and HR triage, compressing brief review cycles from multiple days down to approximately 15 minutes. A multi-agent architecture routes tasks to specialized subagents optimized for speed or reasoning.
InpharmD's AI assistant, Sherlock, leverages Pinecone's vector database to deliver fast, accurate drug information to healthcare professionals. By embedding 30 million medical documents into a RAG pipeline, InpharmD achieved 70% better query accuracy, 95x faster first response times, and 80% cost savings on data storage.
AWS+2Etsy, the global marketplace for handcrafted and vintage goods, serves nearly 90 million buyers across more than 130 million listings from 5 million sellers. Using Vertex AI, BigQuery, Dataflow, and Gemini, the company built a personalized search and discovery platform it calls “algotorial curation” — increasing listings per theme by 80x, driving a 5% lift in SEO-driven visits, and delivering a 3% conversion improvement for sellers.
Attentive, an AI-powered marketing platform serving over 8,000 global brands, deployed Writer across its marketing team to address brand consistency and content production speed at scale. By embedding Writer’s rewrite, voice, recaps, and style guide features into daily workflows, the team reduced content creation from months to a single week for comparable output. The result was measurably faster time to market and a standardized brand voice across global teams.
PepsiCo deployed Celonis process mining across its Global Process Excellence organization to expose root-cause inefficiencies in accounts receivable, accounts payable, and order-to-cash workflows. The platform reduced sales order rejections by 86%, saved over 1,000 hours annually in AP, and unlocked millions in free cash flow by enabling teams to act on real-time process intelligence.
MrBeast and Salesforce built an AI-powered interactive puzzle challenge for Super Bowl 2026, engaging over 1 million players through a Slackbot agent that helped fans organize clues and test theories in real time. The entire enterprise-grade platform — capable of handling 1.5 million simultaneous users — was built in 42 days using Agentforce, Experience Cloud, and MuleSoft, with zero data retained from players.
New Mexico's largest county by population deployed C3 AI Property Appraisal to modernize its commercial property valuation process. By unifying millions of data points and applying AI-based Automated Valuation Models, the county achieved a 50-percentage-point improvement in model accuracy and a 3x gain in appraisal equity — all within weeks of going live.
The Texas A&M University System is one of the largest higher education systems in the United States, encompassing 11 universities, 8 state agencies, and a statewide emergency management network that collectively educates over 153,000 students while defending against state-sponsored hackers and cybercriminals. Faced with a massive threat surface spanning 25,000 endpoints, the system’s cybersecurity team deployed Elastic Security for Endpoint, using its machine learning capabilities and automation layer to unify data from hundreds of sources into a single interface. The result: incident resolution time dropped from months to two hours—a 99% reduction—while automated documentation saved over 100 analyst hours per month.
Class Editori, a leading Italian media company specializing in finance, fashion, and lifestyle with 40 years of content archives, partnered with Softlab to build MFGPT on Google Cloud — one of Italy’s first generative AI agents in the media industry. The system unified four decades of journalistic archives and real-time financial data into BigQuery, powered by Gemini and Vertex AI, converting trial users into paid subscribers and securing B2B enterprise agreements with major financial institutions.
monday Service implemented an eval-driven development framework using LangSmith and LangGraph to build and monitor customer-facing AI service agents, achieving 8.7x faster evaluation cycles for IT, HR, and Legal support workflows.
Fifth Dimension, a UK-based AI analytics company serving the real estate industry, migrated to Google Cloud to overcome critical infrastructure bottlenecks. By adopting Vertex AI, Cloud Run, and serverless architecture, the company achieved 50x processing scalability, 6x revenue growth, and a 30% reduction in infrastructure costs — all within a rapid growth trajectory from founding in 2023 to global scale by 2025.
CustomGPT.ai built a RAG-as-a-Service platform on Pinecone storing over 400M vectors, achieving sub-20ms query latency and the #1 ranking in an independent RAG accuracy benchmark.
A third-generation family tamale business in California used ChatGPT to build a farmers market locator tool from scratch in a single afternoon — with no prior coding experience — and to help non-native English speakers communicate confidently in business settings.
A multigenerational South Carolina seed farm digitized five decades of handwritten crop ledgers using ChatGPT, making historical yield and planting data instantly searchable and enabling real-time field decisions via voice mode during active farming operations.
The Metropolitan Museum of Art partnered with OpenAI to create a conversational AI experience called "Chat with Natalie" for its Sleeping Beauties fashion exhibition, letting visitors interact with a historically accurate AI portrayal of a 1930s New York socialite whose wedding dress is on display.
Vectorize.io is a US-based software company that builds agentic and generative AI infrastructure, helping organizations in law, insurance, and finance make vast volumes of unstructured data usable by large language models. By integrating Elastic’s hybrid search and Elastic Cloud Serverless with Amazon Bedrock, Vectorize deploys production-ready AI solutions for clients in hours rather than weeks. One client whose developer community grew by a million users in a year relied on Vectorize’s real-time learning agent—built on Elasticsearch—to answer support queries and instantly index new answers for future use.
Amazon BedrockPwC deployed 200,000+ Microsoft 365 Copilot licenses across 136 countries, recording 40.8 million AI actions in six months and saving $150M in time plus $25M from platform consolidation.
AXA Switzerland, the country’s leading insurer covering over 40% of Swiss companies, migrated its entire data infrastructure to Google Cloud and deployed BigQuery, Vertex AI, and Gemini to become a data-driven organization. The transformation reduced complex query times from days to minutes or seconds and generated a high double-digit million Swiss franc profit improvement through Smart Data initiatives.
Fifth Dimension, a global AI platform for commercial real estate asset managers and owner-operators, built a multi-model workflow on Google Cloud using Gemini for large-scale document ingestion and Claude for high-precision reasoning. The platform compressed investment memo drafting from days or weeks to just 30 minutes and achieved 99.9% reliability for multi-hour workflows, driving deals with top-10 U.S. asset managers.
Nomura Research Institute deployed Claude 3.5 Sonnet via Amazon Bedrock to automate complex Japanese document analysis, cutting review times by 50% for clients in financial, manufacturing, and distribution sectors.
Amazon BedrockTHG (formerly The Hut Group) is a UK-based ecommerce retail company with revenues exceeding £2 billion, selling its own-brand and third-party cosmetics, dietary supplements, and luxury goods online while also providing ecommerce infrastructure to third parties through its Ingenuity division. Facing a rapidly expanding threat surface as it grew through acquisitions and added SaaS platforms, THG deployed Elastic Security as its unified SIEM, using machine learning capabilities to surface novel attack vectors and automation to eliminate manual triage overhead. The outcome: mean time to respond to security events dropped by 60%, first-line triage burden fell from 90% to 50% of analyst time, and physical storage costs declined by 60% through intelligent data tiering.
Morrisons, one of the UK’s largest supermarkets serving nine million customers weekly across 500 stores, migrated its on-premise data warehouse to BigQuery and Looker, reducing reporting lag by 98.96% from one day to 15 minutes. Real-time data now powers Vertex AI demand forecasting models and a customer-facing Product Finder app that receives 50,000 hits per day during peak periods.
Giles AI, a London-based healthcare AI startup, built its medical research assistant on Google Cloud using Vertex AI, Gemini Pro, and Document AI to help researchers extract structured insights from millions of scientific articles. The platform achieved 95% accuracy in data extraction, a 98% agreement rate with human researchers, and helped one clinical customer cut research task time by 85%.
Pinterest built an AI-powered discovery engine on AWS processing 18TB daily, delivering 10 million AI recommendations per second across 10,000+ GPU instances, driving 17% revenue growth and 70% AI-driven discovery.
Amazon EKSAmazon SageMaker+1Databricks is a global data and AI platform serving over 10,000 customers, including 60% of the Fortune 500, and quadrupled its workforce in three years. Facing an overloaded service desk across 8,000+ employees and 75+ internal tools, the company deployed R2DB, an agentic AI assistant built on the Moveworks platform, to handle IT and HR support at scale. R2DB now deflects 73% of tickets, delivers 3,500+ weekly answers, and has driven $1.5M in staffing cost avoidance—while employee IT satisfaction doubled.
KPMG partnered with Automation Anywhere to deploy AI agents and agentic process automation across recruiting, HR, finance, and accounting workflows, delivering $90 million in immediate impact and identifying $150 million in future automation opportunities.
Telepass deployed Salesforce Agentforce across its customer contact center, resolving 87% of FAQs autonomously and reducing average call handle time by 50% — live in 6 weeks with measurable returns within 10.
Salesforce, the world’s leading CRM company, deployed Writer across more than 3,000 employees spanning marketing, communications, product, and customer success. Using Writer’s AI Studio no-code builder and Knowledge Graph RAG, teams create and launch custom agents in minutes without engineering support. Users report a 20% productivity gain—equivalent to reclaiming one full workday per week—with 78% saying the platform positively affects their daily work.
RMIT University is one of Australia’s largest and most globally connected universities, serving hundreds of thousands of students across campuses in Melbourne, Vietnam, Spain, and partner institutions worldwide. Facing high volumes of international student applications and administrative workflows spread across multiple disconnected systems, RMIT’s automation team deployed 27 automation solutions using Automation Anywhere’s platform, including five AI-powered automations. Over three years, RMIT returned more than 60,000 staff hours to the institution—equivalent to 24 years of capacity—while processing more than 20,000 student requests with greater speed and accuracy.
Sentry is a software monitoring platform that ingests billions of events daily, giving development teams deep context to debug production issues. After deploying Claude for root cause analysis through their Seer agent, Sentry extended the workflow using Claude Managed Agents to generate merge-ready pull requests automatically — closing the loop from detection to fix without custom agent infrastructure. The result: over 1 million root cause analyses processed annually and reviews on over 600,000 pull requests each month, shipped by a single engineer in weeks instead of months.
Conrad Electronic used Celonis Process Intelligence to scale process mining across its entire business, doubling Order Management automation, increasing order-block-processing from 40% to 90%, and realising over €10M in value over three years.
Pure Storage, a Santa Clara-based enterprise data storage company, deployed Glean to unify knowledge access across Jira, GitHub, and internal wikis for teams spanning engineering, legal, and customer support. The AI-powered search platform cuts information-retrieval time by more than 30 minutes per search and enables employees to build custom GenAI applications in as little as 5 minutes, while boosting overall employee satisfaction scores by 39 points.
Tinexta Visura is an Italian digital trust and technology company that built Lextel AI, a legal research platform for Italian law firms and corporate legal teams. Powered by Elasticsearch, Google Gemini, and retrieval-augmented generation across a repository of 4.8 million legal documents, the platform enables attorneys to locate relevant case law and automatically generate traceable legal opinions. The system reduces attorney research and drafting time by one hour to two full working days per task, depending on complexity.
West Monroe, a 2,000-person business and technology consulting firm, deployed Moveworks to deliver AI-powered IT and HR support directly in Microsoft Teams and Slack. The firm resolved 8,000 tickets and accelerated 4,000 more in the first year, generating $1.4 million in annual MSP cost savings — a 40% reduction — while cutting software provisioning time from 3–4 days to under 30 minutes.
AT&T built a multi-agent AI platform on Microsoft Azure to handle millions of daily interactions across customer care and internal workflows. The system processes roughly 9 billion tokens per day, reduced customer care resolution time by 33%, and serves over 100,000 employees across 71 generative AI solutions.
Notion, the connected workspace platform used by millions worldwide, integrated Cohere Rerank into its search pipeline to power Notion AI’s search accuracy across multilingual enterprise workspaces. Every search and Notion AI interaction now routes through Cohere Rerank, delivering dramatically improved relevance while cutting the cost and complexity of embedding-based retrieval for smaller workspaces.
Albemarle, the world’s largest lithium manufacturer with 8,300 employees across four continents, deployed Moveworks as its AI assistant ALbot within Microsoft Teams to provide multilingual, 24/7 employee support. The platform resolves 80% of support tickets without IT back-and-forth and has cut average resolution time by 49%, giving Albemarle’s growing global workforce consistent, instant support regardless of language or time zone.
Klarna is a global fintech company serving over 85 million active users with payment and shopping solutions, processing 2.5 million transactions daily across more than 45 markets. Facing mounting pressure to scale customer support across global markets without proportional headcount increases, Klarna deployed an AI assistant built on LangGraph and refined with LangSmith that now handles the work equivalent of 700 full-time staff. The result is 80% faster customer query resolution and 70% automation of repetitive support tasks.
New American Funding (NAF) is one of the largest independent mortgage banks in the US, with a marketing team of nearly 60 people spanning content, performance marketing, brand communications, and social. Facing an overwhelmed content operation across a regulated industry, NAF deployed Writer’s enterprise generative AI platform to streamline content production, enforce compliance guardrails, and maintain brand voice at scale. The platform now saves the team 360 hours per week and has compressed content tasks from hours to minutes.
Delphi is an AI platform that enables coaches, creators, and experts to deploy interactive “Digital Minds”—always-on conversational agents trained on their unique content. Scaling from proof of concept to a commercial platform with thousands of customers required a vector database that could support millions of isolated namespaces, billions of vectors, and sub-second retrieval under variable load. Delphi selected Pinecone, achieving P95 query latency of 100ms and keeping retrieval under 30% of total response time—freeing the engineering team to build product rather than manage infrastructure.
Xello is a college and career readiness platform serving 4 million active students across Canada, the US, and the UK. Managing content across three regional style guides and a constant stream of career profiles, lessons, and feature updates, the content team adopted Writer in 2022 to standardize terminology, enforce style consistency, and accelerate production with generative AI. The result: a 66% faster time to market and a single source of truth for style and brand guidelines accessible across the company.
Vodafone UK, one of Britain’s largest mobile operators, and VOIS, Vodafone’s shared services arm, deployed Writer’s enterprise AI platform to transform their marketing operations at scale. The implementation replaced manual content production workflows with AI agents that handle banner creation, campaign copywriting, and generative engine optimization. Within six months, Vodafone UK eliminated 20 hours per week of manual work and saw 2x engagement from AI-optimized campaigns, while VOIS cut copywriting time by half.
Lindy's AI agent platform is built on Claude, enabling 10x customer growth, 72% reduction in time-to-qualified-lead, and handling 70%+ of routine support tickets.
Mondelez International, one of the world’s largest snack companies with products in 150+ countries, selected AWS as its strategic cloud provider in late 2024 and deployed Amazon Q Developer as its agentic AI coding assistant for global engineering teams. The result: engineers experience 2–3x productivity gains, new environment setup dropped from days to under an hour, and server provisioning shrank from 7–10 days to 20 minutes. New engineers who previously took months to become effective team contributors now reach full productivity in days.
Amazon Q DeveloperWP Engine, the leading WordPress hosting platform serving more than 1.5 million users across 200,000 websites in 150+ countries, deployed Elastic’s Search AI Platform alongside Google Cloud Vertex AI and Gemini to build Smart Search AI and enable retrieval-augmented generation (RAG) capabilities for its customers. The integration allows WP Engine to deliver natural language search, context-aware product recommendations, and AI-powered chatbots to website owners without requiring them to stitch together multiple vendors. Response times dropped to as low as five milliseconds, and the platform handled traffic spikes from hundreds of thousands to tens of millions of queries per minute with zero downtime.
Terminal X is a vertical AI platform for institutional investors that acts as a 24/7 research agent, processing millions of financial documents for hedge funds, asset managers, and private equity firms. By rebuilding its retrieval architecture on Pinecone’s vector database, Terminal X improved F1 retrieval accuracy from 0.68 to 0.91, cut average latency by over 35%, and doubled deployment velocity. Users now save approximately three hours per day, and investment memo preparation dropped from two days to half a day.
Apna, India’s largest jobs and professional networking platform with 50 million registered users and 600,000 employers, built its candidate search and AI job matching infrastructure on Elasticsearch running on Elastic Cloud on Google Cloud. Semantic search capabilities allow employers to find candidates by intent—not just keywords—while AI algorithms analyze candidate profiles to surface the most relevant matches. The result: a 20% increase in employers paying for premium access, 20% higher platform team productivity, and a 50% improvement in employee productivity.