AI Directory

CME Group developers use Gemini Code Assist to automate code generation, gaining at least 10.5 hours per month per developer. This accelerates development cycles and reduces manual coding effort across their teams.

Google applies AI to prioritize and generate test cases based on historical defect data and code changes, optimizing regression testing across products. This AI-driven approach dynamically selects high-risk test cases, automates test generation, and integrates with continuous testing pipelines, reducing manual effort and improving test coverage and accuracy.

Facebook deployed Sapienz, an AI-powered automated testing tool, to autonomously generate, execute, and report tens of thousands of test cases daily for its Android app. Sapienz explores app behaviors using search-based software engineering, identifies bugs including edge cases missed by manual testing, and integrates with continuous deployment pipelines for rapid bug detection and fixes.

Roche and its subsidiary Genentech use AI and machine learning (ML) to analyze vast biomedical data and simulate drug interactions, accelerating the drug discovery process. Their “lab in a loop” approach iteratively trains AI models on lab and clinical data to predict drug targets, therapeutic molecules, and optimize molecule design. Collaborations with partners like Recursion Pharmaceuticals and Genesis Therapeutics enhance capabilities in cell biology mapping, molecular simulation, and antibody design. This AI-driven strategy reduces R&D time, costs, and improves success rates in identifying promising drug candidates.

Stitch Fix combines advanced AI algorithms with human stylist expertise to analyze customer preferences, predict fashion trends, and deliver highly personalized clothing recommendations. The AI-driven system leverages purchase history, customer feedback, style quizzes, and visual search technology to forecast trends and optimize inventory planning, enhancing customer satisfaction and operational efficiency.

Tesla leverages massive real-world driving data from its fleet and advanced AI models to develop and continuously improve autonomous driving features. Using a vision-based system with multiple cameras, Tesla’s AI interprets complex road environments in real time, employing reinforcement learning and simulation to enhance decision-making. Tesla also developed proprietary AI chips to power neural networks, enabling faster, safer, and more reliable Full Self-Driving (FSD) capabilities.

Statworx helped a mid-sized family-run manufacturing firm assess AI maturity, benchmark against competitors, and identify ten actionable AI-driven feature areas across the value chain. This strategic roadmap secured management buy-in and established sustainable AI expertise for future innovation.

A multinational e-commerce company deployed GitHub Copilot as an AI pair programmer across 100+ markets to accelerate feature planning and development. Copilot provided real-time code suggestions, reducing manual coding and enabling teams to focus on higher-value feature ideation and delivery.

A mid-sized company automated HR processes including employee onboarding, leave management, and performance tracking by integrating ApiX-Drive with HR and payroll software. This eliminated manual data entry, reduced errors, and improved overall HR productivity and efficiency.

Godrej Capital automated manual purchase order (PO) and invoice approval workflows that were previously managed via emails and spreadsheets. By implementing Cflow’s no-code visual workflow builder, they streamlined approvals, eliminated manual data entry, and reduced bottlenecks, resulting in faster approvals and enhanced productivity.

Forge Global adopted Provectus’s Generative AI-powered Intelligent Document Processing (IDP) platform to automate extraction and reporting from incorporation documents. This enabled rapid, accurate document review and report generation, freeing managers to focus on higher-value tasks.

Docugami’s AI platform automates extraction and organization of complex documents such as leases, insurance policies, clinical trial reports, and proposals. Clients include real estate firms, insurance brokerages, and pharmaceutical companies, achieving faster data extraction, reporting, and compliance.

A leading Nordic insurer collaborated with EY to implement an AI-driven document processing system for claims management. The system automated extraction, classification, and processing of unstructured data from bills, invoices, and medical documents, integrating with legacy systems and scaling to business needs.

Procter & Gamble (P&G) uses machine learning and advanced analytics to forecast demand by analyzing sales data, market trends, and external factors. This allows P&G to precisely manage inventory, reduce stockouts and overstock, and optimize supply chain performance, improving operational efficiency and customer satisfaction.

Zara implemented a Just-Intelligent supply chain system powered by AI and machine learning to monitor real-time data, predict customer demand, and dynamically optimize stock levels. This enables rapid turnaround of new designs (as little as one week), minimizes overstock and stockouts, and adapts to market trends in near real time. The holistic AI approach has resulted in substantial cost savings, increased customer satisfaction, and a stronger market position.

HealthTech Solutions implemented Document AI to automate processing of patient records, medical forms, and billing documents. The AI improved data extraction accuracy, streamlined workflows, and enhanced operational efficiency in healthcare administration.

A top-20 insurance company used Docugami’s AI-powered Document Engineering to automate generation of Certificates of Insurance and analyze complex loss-run documents. Docugami extracts and normalizes key data, enabling faster, more accurate risk assessment and operational efficiency.

Supremo Engineering used Oracle Content Management to organize and automate ingestion, indexing, and linking of complex construction documents such as architectural drawings and change requests. This improved traceability, project management, and reduced manual workload.

JP Morgan implemented COIN, an AI-powered Contract Intelligence platform using natural language processing (NLP), machine learning, and image recognition to automate the analysis of complex legal and financial contracts. COIN extracts key clauses, interprets terms, identifies risks, and standardizes contract language, drastically reducing review time and errors while improving compliance and operational efficiency.

BlissWear, a boutique clothing brand, implemented an AI social media agent to automate Instagram direct messages, manage order inquiries, and schedule posts. This AI-powered solution reduced the founders’ daily social media workload by hours and enabled 24/7 responsiveness, supporting business growth despite limited staff.

Cosabella, a luxury lingerie brand, replaced its traditional marketing agency with Albert AI, an autonomous AI marketing platform. Albert managed paid search and social campaigns by identifying user behaviors and patterns, optimizing budget allocation, targeting, creative content, and campaign execution across channels. This automation freed staff for strategic work and delivered unprecedented campaign performance and revenue growth.

Domino’s leveraged Emplifi’s AI-powered Social Marketing Cloud to automate real-time social media monitoring, enabling instant engagement and crisis management. The AI identifies key interactions such as purchase intent and influencer critiques, integrating with CRM systems for rapid response. This automation improved contact center efficiency and customer loyalty.

Keegan used Arvow AI to generate SEO-optimized content, increasing indexed Google pages from 137 to 981 and achieving 1,500 monthly clicks with 2,300 impressions. AI-assisted content creation enabled rapid scaling of quality blog posts and improved search rankings across categories.

EarlyBird partnered with uSERP for content creation, link-building, and digital PR, achieving over 1,000 first-page keywords, an 800% increase in organic traffic, and 20,000+ app signups from organic sources.

Fugue optimized their Cloud Security Posture Management product page using Frase.io SEO tools by identifying missing topics and benchmarking against competitors. This led to a jump from 10th to 1st position on SERPs for competitive keywords.

STACK Media partnered with BrightEdge to identify high-volume keywords in fitness, analyze SERP visibility, and conduct competitive research. They redesigned page templates to include comprehensive content such as training videos and performance tips, improving user engagement and reducing bounce rates.

Rocky Brands, a footwear and apparel company, implemented BrightEdge’s AI-powered SEO tools including Data Cube for keyword discovery, BrightEdge Recommendations for content optimization, and StoryBuilder for performance tracking. They optimized page titles, meta tags, and created SEO-friendly content using consumer language and targeted keywords.

Lyzr used Surfer SEO to create and optimize blog content, identifying keywords, optimizing content structure, and monitoring performance. This AI-powered approach rapidly scaled their SEO efforts, resulting in a 150% increase in organic traffic within three months.

Endy, an e-commerce mattress brand, uses AI algorithms to analyze shopper preferences and real-time website interactions to send personalized product recommendations and sale notifications via email. This AI-driven approach increases the relevance of email campaigns, boosting conversions and customer engagement.

Sage Publishing, a global academic and educational publisher, adopted Jasper AI to automate the creation and translation of personalized email content at scale, including book titles, authors, and prefaces. This AI-powered solution drastically reduced the time spent drafting emails by 99%, allowing marketing teams to focus on strategy and audience personalization. Jasper’s multilingual capabilities also enabled efficient localization, improving global reach.

Cosabella, a family-owned Italian lingerie brand facing stagnant sales, adopted Emarsys’s AI-powered marketing platform to personalize email content and offers based on shopper data. The AI enabled dynamic segmentation, real-time behavior analysis, and automated campaign optimization. This approach increased email open rates by 4%, grew email-driven revenue by 60%, and doubled the email subscriber base. Their “12 Days of Cosabella” holiday campaign achieved 40–60% higher sales year-over-year without relying on discounts.

Synthesia customers use AI to generate video content for training, marketing, and internal communications. The AI video creation platform reduces production costs, saves time, and improves accessibility by enabling high-quality video production without specialized skills.

Amazon leverages advanced AI and machine learning to analyze customer browsing history, purchase behavior, and product reviews to deliver hyper-personalized product recommendations, abandoned cart reminders, and tailored offers via email campaigns. The AI dynamically generates content and subject lines optimized for each recipient, increasing engagement and driving repeat purchases.

QuantaTech Innovations uses AI to create technical manuals, user guides, and blogs. Their AI platforms continuously update and refine content based on user feedback and real-time data, ensuring documentation remains accurate, consistent, and relevant. This scalable approach reduces manual effort and improves user satisfaction.

HubSpot uses an AI-powered Blog Ideas Generator to suggest relevant and engaging blog topics based on keywords. This tool accelerates content ideation, helping HubSpot maintain a fresh and competitive blog presence. The AI uses natural language processing to generate ideas that resonate with target audiences, increasing blog traffic and engagement.

Forbes uses Quill, an AI-powered writing tool, to generate articles on business, technology, and finance. Quill analyzes data and produces informative, SEO-optimized content, enabling Forbes to publish more articles faster and at lower cost without sacrificing quality. This has resulted in increased website traffic and reader engagement.

The Washington Post deployed Heliograf, an AI-powered natural language generation (NLG) tool, to automate the creation of data-driven news stories such as election results, sports scores, and financial reports. Heliograf ingests structured data from authoritative sources and generates coherent articles based on journalist-defined templates. This automation enables the newsroom to cover a broader range of events with greater speed and accuracy while freeing reporters to focus on investigative journalism and analysis.

Lacta Chocolate partnered with Ogilvy to create the “AI Love You” campaign, featuring the “Lacta Lovebot” chatbot on Facebook Messenger. The chatbot delivered personalized, interactive love messages to users, encouraging user-generated content, influencer partnerships, and experiential events. This innovative campaign resonated strongly with millennials, boosting brand sentiment and engagement through AI-driven personalization and social interaction.

Ford Motor Company leveraged machine learning to analyze historical customer data, identify best prospects, and optimize digital advertising campaigns. The AI platform refined messaging and timing, delivering personalized ads to high-intent buyers. This approach doubled conversion rates, improved lead quality by 60%, and increased marketing ROI. Ford also integrated AI-driven chatbots on dealership websites to engage shoppers, further boosting lead generation and customer interactions.

JP Morgan Chase partnered with Persado to leverage AI-powered copywriting technology that generates optimized marketing messages by analyzing a database of over one million tagged and scored words and phrases. After a successful pilot starting in 2016, the bank signed a five-year enterprise-wide deal to use Persado’s “Message Machine” across multiple departments, including card and mortgage businesses. The AI-generated copy consistently outperformed human-written ads, achieving up to a 450% increase in click-through rates.

Nike and AKQA collaborated to create a groundbreaking AI-driven virtual tennis match featuring Serena Williams from two eras: her 1999 US Open debut and her 2017 Australian Open peak. By analyzing archival footage and gameplay data-including shot selection, reaction times, agility, and decision-making-machine learning models recreated detailed avatars of Serena from each era. Using Stanford University’s vid2player technique, the avatars were rendered to interact seamlessly in a live-streamed virtual match, showcasing Serena’s evolution and celebrating her career.

Procter & Gamble integrated AI into virtual testing environments to simulate consumer reactions to product concepts, packaging, and advertising. This predictive approach replaced traditional focus groups, enabling rapid refinement of marketing assets and reducing time to market. AI-driven simulations allowed P&G to test multiple scenarios quickly and optimize product features based on consumer feedback.

NielsenIQ integrated AI with data from point-of-sale systems, loyalty programs, and in-store sensors to provide real-time insights into shopper behavior. Collaborating with a multinational supermarket chain, AI identified underperforming product categories and optimized store layouts and promotions. This resulted in increased category sales, improved customer satisfaction, and more effective retail operations.

Ipsos deployed AI and natural language processing (NLP) to automate the analysis of thousands of free-text comments across multiple languages and cultures in large-scale international surveys. The AI detected key themes, sentiments, and brand associations, reducing manual bias and accelerating time-to-insight. This approach enabled faster, more consistent qualitative data interpretation and deeper consumer insights.

PepsiCo leveraged machine learning and AI-driven analytics to analyze vast consumer data, including purchase behavior, retailer feedback, and social media sentiment, to identify emerging consumer trends. This insight guided the development of the Bubly sugar-free sparkling water line by optimizing flavor profiles, branding, and packaging to meet health-conscious consumer demand. The AI tools also accelerated product development cycles and enhanced market fit.

IBM developed an enterprise-wide Privacy and AI Management System (PIMS), powered by IBM OpenPages and Knowledge Catalog, to centrally manage data privacy and AI lifecycle compliance across 170+ countries and 400+ legal entities. PIMS automates governance, risk, and compliance workflows, tracks AI model lifecycles including bias and drift, and updates governance models as regulations evolve. It supports continuous compliance, builds trust with employees, clients, and regulators, and provides a unified platform for managing privacy and AI risks at scale.

Accenture developed a comprehensive responsible AI compliance program to ensure the ethical use of AI internally and with clients. The program is built on a set of responsible AI principles applied across the organization and reinforced by four essential elements: leadership oversight, principles and governance, risk assessment and mitigation, and testing and enablement. This framework supports AI governance, risk management, and trust-building, enabling Accenture to scale AI responsibly while mitigating potential risks.

Allensworth, a litigation-heavy construction law firm based in Austin, Texas, adopted Everlaw’s AI-powered eDiscovery platform to streamline document review and legal research. Everlaw’s AI tools remove duplicate documents, summarize key data points, and answer open-ended legal questions with specific citations. This enabled Allensworth to complete tasks in minutes that previously took lawyers hours, days, or weeks, significantly reducing legal costs and improving efficiency.

Gibbons P.C., a prominent law firm approaching its 100th anniversary, adopted Lexis+ AI to significantly expedite attorneys’ abilities to identify key issues and enhance strategic planning efficiency. The AI-powered platform improves efficiency in summarizing depositions, analyzing agreements, and legal research across all attorney levels. It also streamlines workflow processes, enabling prompt and effective client service.

Lexion provides AI-powered contract lifecycle management that automates workflows across sales, procurement, and legal teams. Features include email-driven task management, no-code automation, and centralized dashboards. AI accelerates contract review and approval, enabling organizations to increase contract volume without additional headcount. Real-time status updates and task tracking improve cross-functional collaboration and reduce legal bottlenecks.

A supermarket chain leveraged Bigle Legal’s AI contract analysis to review hundreds of supplier agreements quickly. The AI flagged inconsistent or risky clauses related to pricing, delivery, and penalties, enabling the legal team to focus on critical negotiation points. This reduced risks, ensured favorable contract terms, and improved supplier management and profitability.

The Philippine Manufacturing Company adopted Lexagle’s AI-powered contract management software to digitize contract templates, automate contract creation, and streamline approval workflows. AI contract analysis identified key terms and compliance risks, enabling faster contract generation and improved transparency with full audit trails. Automated invoicing aligned with contract terms enhanced financial tracking. This digital transformation reduced administrative burdens and improved compliance in a complex regulatory environment.

Standard Chartered implemented an AI-powered regulatory compliance system leveraging natural language processing (NLP), machine learning, and predictive analytics to automate document analysis, transaction monitoring, and risk assessment. The system enables real-time fraud detection, instant regulatory reporting, and continuous compliance monitoring across global operations. This transformation reduced manual workloads, improved accuracy, and strengthened adherence to complex financial regulations worldwide.

James Hardie, a market leader in building materials, uses Sprout Social’s AI-powered platform to analyze social media sentiment, identify industry influencers, and refine marketing strategies based on real-time consumer feedback. The company transformed its social media presence by building a strong digital foundation, engaging customers across platforms, and empowering its sales team through Employee Advocacy. Sprout Social’s advanced analytics and social listening tools provide consistent, actionable data that informs content strategy and improves customer care.

SciPlay, a leading mobile game publisher, used Pecan’s AI-powered predictive analytics to refine its retargeting campaigns by identifying players most likely to return. This enabled more efficient ad targeting, saving millions annually while improving player experience with tailored offers. The marketing team built internal predictive models for seven games, integrating predictions directly into campaign platforms for real-time use.

Lark is an all-in-one AI-powered collaboration platform integrating messaging, video calls, real-time document collaboration, project management, and smart scheduling. A global marketing agency used Lark to improve communication and collaboration among remote teams, resulting in higher productivity and increased innovation. AI features include smart scheduling, automatic transcription with multilingual translation, AI-powered document editing, and automated workflows, enabling teams to work more efficiently across time zones and languages.

Document360 enables organizations to build and manage dynamic, searchable, multi-lingual knowledge bases. Its AI-powered search helps employees and customers quickly find SOPs, manuals, and policies, reducing support tickets and improving documentation accuracy. The platform supports continuous content updates and analytics to maintain knowledge quality and relevance.

Tettra employs AI-powered assistant “Kai” to search company documents and Slack threads, providing instant answers and summaries. If answers are missing, Kai routes questions to subject matter experts and tracks responses. The platform automates content verification, flags outdated pages, and personalizes content recommendations. This reduces repetitive questions, speeds onboarding, and ensures knowledge is accessible and up-to-date.

Guru’s AI-powered knowledge base delivers instant answers, flags outdated content, and recommends personalized sales collateral. Integrated with Slack and other platforms, it enables real-time Q&A and continuous content updates. This improves content accuracy, accelerates sales enablement, and ensures teams have the right information at their fingertips.

XponixAI integrated deep learning on GlobalTech’s extensive document libraries and deployed an AI assistant to provide real-time answers and predictive insights. The AI was trained on company-specific terminology and complex document structures, enabling employees to retrieve information 70% faster and onboard new hires 40% more efficiently. Predictive analytics helped identify overlapping tasks, product synergies, and compliance risks, significantly improving decision-making speed and accuracy.

Tapestry, a global luxury retail company behind brands like Coach and Kate Spade, used generative AI on AWS to centralize access to company knowledge. The AI-powered chatbot enables employees to quickly access SOPs, policies, and institutional knowledge from a single interface, breaking down silos across IT, HR, legal, and other teams. The system reduces time spent searching for answers, decreases burden on subject matter experts, and improves onboarding and decision-making.

Cintas developed an internal knowledge center powered by Google Vertex AI Search to enable customer service and sales teams to quickly find key information. This improved response times to client inquiries, enhanced employee productivity, and streamlined access to critical data across departments.

Bank of New York Mellon (BNY Mellon) developed an AI-powered virtual assistant to help employees quickly find relevant information across internal data and documentation. The assistant leverages AI search and natural language processing to provide accurate answers, improving employee support and operational efficiency.

A large financial institution with vast internal documentation implemented Zappr.AI to index and enable natural language querying of its data repository. This empowered employees to retrieve information 70% faster, accelerating decision-making by 40% and improving data accuracy by 20%. The solution ensured compliance with strict data privacy and security standards typical in finance.

Docugami’s AI-powered document platform enabled a real estate firm to reduce lease analysis time by 80%, an insurance company to automate Certificates of Insurance processing, and a healthcare facility to convert legacy patient files into accessible data. The platform improves compliance, streamlines data extraction, and enhances operational efficiency across industries.

Exadel created a Generative AI-powered solution to automate the conversion and categorization of unstructured and semi-structured data for a consulting firm. Using natural language processing (NLP), the system accurately interprets and tags documents, enabling seamless integration with analytics tools. This automation saved over 50,000 work hours and processed more than 10 million documents, significantly improving data analysis and consulting output quality.

Metinvest, an international steel and mining group, faced challenges managing and searching terabytes of unstructured data on Microsoft SharePoint. DevRain integrated an advanced multilingual search system enhanced with machine learning, enabling full-text, attribute-based, and category-based searches across multiple languages. The solution identifies linked documents, detects duplicates, extracts key data insights, and automates document categorization while ensuring secure access management via Azure Entra ID.

Square Enix developed “Hisui-chan,” a Slack-integrated chatbot powered by Azure OpenAI Service, to assist game developers by providing instant answers to technical questions. This AI chatbot improves communication and support within development teams, reducing delays and enabling faster problem resolution, ultimately accelerating game development cycles.

Outbound AI, a healthcare back-office firm, partnered with ORCA HR Solutions to improve remote team messaging and cohesion. ORCA facilitated all-hands meetings, workshops, and personalized communication preference assessments to foster stronger connections and more humanized, targeted messaging across a dispersed workforce. This approach improved team cohesion, employee engagement, and communication effectiveness.

Slack piloted AI algorithms including predictive text, automated responses, message prioritization, thread summarization, and relevant channel suggestions. These AI features improved team engagement by helping users find and respond to important messages faster, reducing information overload and boosting productivity. The pilot reported a 30% increase in message response efficiency and saved users an average of 97 minutes per week.

TechFlow, a global technology company with dispersed teams across multiple time zones, integrated ChatGPT into its internal messaging platform to enhance communication efficiency. The AI assistant monitors conversations, extracts action items, sets reminders, answers queries on policies and projects, and transcribes and translates live meetings. This integration reduced communication gaps, streamlined information flow, and improved cross-team collaboration, saving employees valuable time and enabling focus on strategic tasks.

Adobe integrates Wrike’s AI-powered project management platform to monitor creative project progress, resource utilization, and deadlines in real time. AI-generated insights enable managers to identify trends, adjust resource allocation, and ensure timely delivery of high-quality creative work. This enhances project visibility, reduces bottlenecks, and improves overall team productivity.

NASA’s Jet Propulsion Laboratory (JPL) employs Trello integrated with Butler AI to manage complex space missions such as the Mars Rover project. The AI-driven system predicts potential project roadblocks by analyzing historical data, task completion times, and communication patterns. It proactively recommends corrective actions like timeline adjustments and resource reallocations, enabling early issue resolution, improved cross-team coordination, and reduced project delays.

Eric.ai provides AI-powered meeting note-taking and summarization tools that capture key points, action items, and decisions in real time. Businesses using Eric.ai report improved meeting productivity, better follow-up, and reduced administrative overhead. The AI integrates with popular conferencing platforms to automate note capture and distribution.

Hopin utilizes AI for attendee networking, adaptive video streaming, and sentiment analysis during virtual conferences. AI pairs attendees based on interests, optimizes video quality in real time, and analyzes engagement metrics to adjust session pacing. Post-event dashboards provide actionable insights on attendee preferences. These innovations increased session attendance, improved networking, and ensured stable streaming for large audiences.

Cvent deployed AI-powered matchmaking and dynamic agenda building for conferences, using machine learning to connect attendees, exhibitors, and sponsors based on profiles and interests. A 24/7 AI virtual assistant provides real-time attendee support. These features boosted networking quality, reduced organizer workload, and provided detailed post-event analytics for future planning.

Bizzabo integrated AI-driven analytics and engagement tools for hybrid events, enabling personalized session recommendations, real-time engagement tracking, and adaptive resource allocation. AI dashboards allow organizers to adjust session lengths and networking events dynamically, improving virtual and in-person attendee experiences, reducing virtual drop-off rates, and optimizing resource use.

ConferLink deployed an AI-enhanced platform for global tech conferences to increase participant engagement and networking. AI matched attendees with similar interests, personalized agendas, and provided real-time sentiment analysis to dynamically adjust event flow. This led to a 50% increase in networking activities, 35% higher attendee satisfaction, and 25% fewer logistical issues.

Eventico Technologies developed an AI-powered platform for managing complex, multi-venue events. Features include dynamic scheduling, predictive analytics, AI chatbots for attendee interaction, facial recognition for contactless check-ins, and real-time health monitoring. This integrated AI approach improved operational efficiency and attendee experience, reducing event management costs by 30% and increasing attendee satisfaction by 20%.

Axios HQ provides an AI-powered internal communications platform that helps organizations plan, compose, align, and measure internal updates. Using AI features powered by OpenAI GPT-3.5 and GPT-4, Axios HQ assists users in drafting, summarizing, editing, and targeting communications with Smart Brevity® style. The platform shortens updates by 40% on average while maintaining critical detail, improving clarity, engagement, and speed of information dissemination.

Dun & Bradstreet built an AI-powered tool using Google Cloud’s Gemini to generate personalized email announcements for prospects and customers. The system tailors content based on research data, user queries, and customer preferences, enabling sales and marketing teams to quickly deliver targeted, relevant communications. This improves outreach effectiveness, accelerates sales cycles, and enhances engagement with decision-makers.

PODS partnered with advertising agency Tombras to launch an AI-powered out-of-home (OOH) campaign using Google’s Gemini AI. They equipped PODS moving trucks with LED digital billboards that adapted messaging in real time based on GPS location, weather, traffic, and neighborhood-specific data across New York City. The campaign generated over 6,000 unique headlines covering 299 neighborhoods in just 29 hours, making every announcement hyper-local, personalized, and data-driven.

ClickUp, a project management platform with complex product usage leading to challenging customer inquiries, integrated Maven AGI’s ChatGPT-based Co-Pilot to assist support agents. The AI tool provides instant ticket summaries and suggested responses, reducing agent workload and enabling customers to self-serve more effectively. This integration improved support efficiency, reduced onboarding time for new agents, and fine-tuned AI responses to align with ClickUp’s voice and tone.

Telstra deployed Microsoft Azure OpenAI-powered “Ask Telstra” to help customer service agents quickly access extensive customer history and product information by summarizing detailed CRM data into concise answers. This AI-driven tool speeds up customer inquiries, reduces the need for repeated information, and accelerates onboarding of new agents. Alongside, the “One Sentence Summary” tool provides instant, succinct summaries of recent customer interactions, improving agent understanding and call handling efficiency.

Barracuda Networks employs AI and natural language processing to detect and prevent phishing attacks by scanning email content and user behavior. Its AI models analyze message intent, sender reputation, and embedded links, quarantining suspicious emails before they reach users. The system continuously learns from new threats, reducing phishing breaches by 95%, financial losses by 40%, and false positives, while improving user awareness and incident response.

CrowdStrike’s Falcon platform leverages AI and behavioral analytics to protect endpoints and cloud workloads globally. It continuously monitors billions of events, detecting anomalies and predicting attacks before execution. Falcon’s agentic AI learns normal behavior patterns and identifies deviations indicative of malware, ransomware, or zero-day exploits, enabling proactive threat prevention and rapid incident response.

Infosys collaborated with a multinational consumer goods company to implement an Identity and Access Management (IAM) solution encompassing people, processes, and technology. The system automated user provisioning and deprovisioning, enforced governance policies, and improved compliance with internal controls and external regulations. This resulted in a 25% reduction in ticket volume, zero-day provisioning for new joiners, and enhanced business agility.

Zluri’s access management solution automates identity verification, onboarding/offboarding, access requests, and enforces policies such as least privilege and segregation of duties. Integrated with HRMS and SaaS applications, it provides centralized dashboards for IT teams to efficiently manage user access, reducing risks of over-provisioning and unauthorized access.

people.ai, a fast-growing AI software company, faced challenges with manual physical access control across multiple offices worldwide. Genea provided a unified, cloud-based platform integrated with Okta identity management, enabling centralized global access management, automated provisioning/deprovisioning, and simplified compliance through easier activity log reviews. The system supports HID cards, fobs, mobile devices, and wearables, providing flexibility and real-time remote management.

An anonymous healthcare staffing agency implemented AI recruitment to address critical shortages by automating initial interviews, credential verification, and clinical knowledge assessments via scenario-based questions. The system increased placement speed by 73%, improved client satisfaction scores from 7.2 to 9.1, reduced candidate dropout rates by 48%, and increased revenue per recruiter by 52%.

An anonymous leading technology company deployed an AI recruiter to handle initial screening and assessments of over 2,000 software engineering applicants monthly. The AI conducted asynchronous technical interviews using GPT-based models, rubric-based scoring, and generated consistent feedback. This automation reduced time-to-hire from 45 to 12 days, increased recruiter capacity by 67%, improved candidate quality by 34%, and lowered cost-per-hire by 61%.