AI Directory

Coca-Cola automated over 50 HR audit processes across multiple SAP systems using an HR audit automation platform. This expanded audit coverage to 100%, increased accuracy, and added 16 extra hours of productive work daily, significantly enhancing compliance and operational efficiency.

Deel published insights on AI-driven personalized onboarding experiences, emphasizing tailored content delivery, automated checklists, and progress nudges. AI analyzes employee profiles to customize training and matches new hires with similar colleagues to improve cultural assimilation and engagement.

Talla implemented AI-powered chatbots and natural language processing to automate employee inquiries, training material delivery, and HR support. This reduced HR workload by 40%, improved knowledge retention by 30%, and accelerated employee adaptation by 25%, enabling scalable onboarding across multiple locations.

Harbinger created an AI-powered onboarding and learning solution automating skills gap analysis, personalized learning plans, and periodic knowledge nudges for a multinational investment bank. The system converted onboarding content into summaries and quizzes, reducing query resolution times from hours to minutes and decreasing escalations by 15%.

JIFFY.ai automated 80% of onboarding activities for a global professional services firm, accelerating the process and reducing manual HR workload. The AI platform handled document routing, task automation, and compliance checks, enabling HR to focus on strategic initiatives.

Switchboard automated employee onboarding by integrating six disparate tools into a single source of truth, saving 10 collective hours per new hire and enabling employees to ramp up 20% faster. The solution centralized onboarding data, automated task tracking, and improved communication across departments.

Beecker implemented a custom Power Automate solution for a luxury hotel group operating in 12 countries to automate employee onboarding. The automation reduced processing times by 68%, eliminated manual documentation errors that previously affected 22% of paperwork, and freed over 200 executive hours monthly, accelerating new hire integration.

CLA deployed an intelligent AI automation system to handle 15,000 invoices monthly for a food manufacturer. The system streamlined invoice routing and processing, enabling smooth, error-free AP operations at scale.

Younique, a beauty products retailer, automated invoice processing, 3-way PO matching, approvals, and vendor management with Tipalti. The system saved 2,080 AP hours annually, eliminated headcount needs, and supported global growth with enhanced visibility and control.

Energie Steiermark implemented Hypatos AI for end-to-end invoice automation, including validation against VAT and SAP order references. The AI system enabled one-touch processing and paved the way for future no-touch posting, improving compliance and efficiency.

The Second City used Ramp Bill Pay to automate invoice scanning, categorization, coding, and approval workflows. Integration with NetSuite eliminated manual reconciliation, halving invoice processing time and saving $40,000 annually. Vendor payments became faster and more accurate.

Foodpanda implemented Staple AI’s automation solution to capture invoice data from various formats and languages, performing three-way matching against purchase orders and goods received notes. The system integrated with warehouse management, reduced errors, and eliminated the need for additional hires despite growth.

JIFFY.ai deployed its AI-based Invoice Processing HyperApp across multiple countries for a major automobile manufacturer, handling 150,000 invoices monthly from 5,000 suppliers. The system achieved 85% straight-through processing within 12 weeks, streamlining multi-country invoice workflows and improving scalability.

H&H Purchasing automated their entire invoice processing system using zenphi’s AI document processing platform. This eliminated manual bottlenecks, reduced overtime and costs, and increased invoice processing capacity sixfold with near elimination of human error. The solution includes PDF renaming, data extraction, verification workflows, and exception handling with human intervention only when necessary.

FiscalGuard Group implemented an AI-enhanced auditing system that automatically analyzes financial transactions for compliance and reporting. Using predictive analytics and anomaly detection, the system identifies discrepancies and potential regulatory breaches, continuously learning from new data and regulations. This automation reduced compliance errors by 80% and auditing time by 70%, improving accuracy and operational efficiency.

Workday’s Illuminate™ platform integrates AI-driven forecasting and scenario analysis to process disparate financial data sources in real time. It provides predictive insights enabling finance teams to anticipate risks, allocate resources effectively, and perform continuous scenario planning. The natural-language interface allows decision-makers to refine forecasts and explore alternatives seamlessly, improving precision and responsiveness.

Cognaize deployed an advanced AI-powered financial spreading system for a global financial information company, automating extraction and annotation of data from 500,000+ reports annually (12 million pages). The system supports 30+ templates and multiple languages, achieving 99.9% accuracy, reducing manual verification time by 75%, and making the process 5x faster and 10x cheaper.

OnCorps AI developed an end-to-end AI system that automates financial report preparation and validation for global asset managers. The system parses complex PDF reports, retrieves source documents, and runs nearly 200 automated checks using NLP and named entity recognition to handle format variations. Dashboards track exception resolution and provide management oversight, streamlining review of reports often hundreds of pages long.

HG Commerciale adopted Yokoy Expense, an AI-powered expense management tool, enabling employees to submit claims instantly by photographing receipts. AI verifies and categorizes expenses, while integration with HR, payroll, and ERP systems provides finance teams with real-time spending visibility and seamless data flow. Intelligent routing reduces errors, support costs, and processing delays.

SAP Concur integrated AI-powered receipt scanning, machine learning, and real-time expense tracking to automate receipt processing, fraud detection, compliance monitoring, and predictive analytics for spending behavior. This reduced manual expense processing by 80%, cut compliance violations and fraud, accelerated reimbursements, and improved budget forecasting and cost control.

ARAG leveraged Rydoo’s AI to scan receipts and autofill expense details with over 95% accuracy. Automated approval workflows prioritize manual review for complex or high-value expenses, enabling faster, error-free submissions. This resulted in significant cost savings, nearly 100% digital workflow, and faster approvals.

Memra’s AI digital employees automated the entire expense management process, cutting manual effort by 80%, increasing processing speeds by 5x, and achieving near-perfect accuracy. The system uses a Master Agent coordinating specialized Task Agents for invoice processing, data integration, payment workflow optimization, and continuous oversight to ensure efficiency and accuracy.

Urban Renewal Co. used AI-powered scenario analysis to simulate outcomes for a $20M city block project facing permit delays. AI modeled three scenarios, helping select the lowest-cost, least disruptive path, saving $1.2M and securing a $5M expansion opportunity.

SkyHigh Developments used real-time AI cost monitoring for a $30M tower build. AI flagged a 12% overrun risk due to a supplier change, enabling renegotiation and rescheduling that saved $900K and kept the project on track with improved budget control.

BuildRight Construction used AI-driven project budgeting tools to analyze five years of project and market data. AI flagged a 15% overrun risk on a $50M highway project, prompting early bulk ordering and avoiding a $2M cost spike. The project stayed on budget, earning a $3M bonus and improving risk management.

Fuelfinance’s AI platform automates forecasting, planning, and financial reporting by analyzing historical data, detecting trends, and updating projections in real time. The dashboard integrates with accounting tools, providing scenario modeling and cash flow tracking for better financial management.

Henkell Freixenet used Jedox’s AIssisted™ Planning module to improve forecast accuracy and scenario planning. The finance team compared AI-driven predictions with historical and planned figures, achieving 91% accuracy. AI simulations identified key business drivers, enabling more agile, driver-based planning and faster reporting.

SoulCycle consolidated 1,500 invoice payments into a single, easy-to-manage bill using AI-powered automation. This simplified financial management and reduced manual effort across payment processes.

Hausers Group manages 450 monthly invoices using AI automation, reducing manual workload and improving invoice handling efficiency.

Klaar.me adopted AI-driven paperless accounting and accounts payable automation to streamline financial operations, reduce manual errors, and lower operational costs.

Stack Overflow used AI to automate bookkeeping workflows, reducing manual data entry and reconciliation by 90%. This automation improved data accuracy, enabled real-time financial insights, and enhanced decision-making capabilities.

WeWork implemented AI-powered accounts payable automation to reduce monthly invoice processing from over 1 million to just 3,000. The solution streamlined invoice handling, consolidated payments, and improved accuracy, freeing staff to focus on higher-value work and significantly cutting operational costs.

Botkeeper provides AI-driven bookkeeping with a human touch, automating data entry, reconciliation, and reporting for accounting firms. This automation reduces manual workload, minimizes errors, and ensures continuity even with staffing fluctuations, allowing firms to reallocate staff to higher-value services and scale confidently.

Coursebox offers intelligent AI tutors available 24/7 to provide instant, tailored guidance on complex topics, enabling employees to upskill at their own pace and resolve challenges without waiting for scheduled training sessions. The platform increases engagement and learner satisfaction through personalized support.

TTMS implemented AI-driven e-learning modules with practical exercises and personalized feedback to train new helpdesk hires in ticket handling, communication, and English skills. The platform provides management with actionable insights to target improvements and ensures consistent customer support responses.

Litslink provides AI-driven personalized learning platforms and virtual simulations that help medical professionals stay current with new procedures and technologies. The platform offers tailored content, real-time feedback, and immersive scenario-based training, improving clinical skills, confidence, and patient care quality.

Eklavvya’s platform leverages generative AI to create real-world, customized, and interactive assessments across technical, ethical, and role-based scenarios. It automates grading, delivers detailed analytics, and adapts to learner progress for efficient and objective evaluation. The platform supports secure, proctored exams at scale, enabling organizations to streamline recruitment, certification, and upskilling processes.

Hyperspace’s AI platform delivers adaptive, interactive assessments, real-time learner tracking, and role-playing scenarios powered by AI avatars. The system provides detailed analytics on learner strengths and gaps, boosting engagement, retention, and practical skill mastery. AI avatars enable context-aware, personalized simulations that improve learner satisfaction, recall, and skill application.

Litslink Healthcare Training employs AI-powered personalized learning platforms and virtual simulations to help medical professionals stay current with evolving treatments and technologies. The AI tailors content to individual learner needs and provides immersive, scenario-based training, enhancing clinical skills, confidence, and patient care quality.

General Electric leverages AI-powered tools to analyze employee performance data and deliver personalized feedback, fostering continuous improvement and engagement. Additionally, GE employs AI-driven predictive maintenance systems that monitor equipment via sensors, predict failures, and optimize maintenance schedules, reducing downtime and costs. GE also implemented a digital performance management platform (PD@GE) enabling real-time feedback and goal tracking, improving employee engagement and reducing turnover.

Bank of America implemented “The Academy,” an AI-powered training platform that uses conversation simulations and immersive virtual reality (VR) experiences to help employees rehearse client interactions and real-world scenarios. The platform enables employees to sharpen communication skills, build confidence, and deliver consistent, high-quality customer service. It also integrates AI coaching in call centers and teaches AI fundamentals including prompt engineering. Over 200,000 employees worldwide have benefited from this innovative approach.

USF Innovative Education integrated ChatGPT to develop interactive scenario-based training and knowledge-check activities, complemented by AI-powered animated video introductions using Vyond Go. This approach improved student engagement, reinforced learning concepts, and enabled self-assessment, leading to better learning outcomes and efficient content production.

The Judge Group collaborated with a leading telecom training provider to overhaul hundreds of hours of complex training content into concise, engaging, learner-centric courses using AI. The approach accelerated integration of learning elements, improved learner engagement, and reduced course design and development time by 30%. The process was documented to enable scalability and future reuse.

Bosch applies predictive analytics to identify potential product defects early in the manufacturing process, enabling proactive quality control. This reduces customer complaints, improves product reliability, and increases customer loyalty.

Rolls-Royce employs predictive analytics to monitor aircraft engine performance in real time, forecasting maintenance needs to reduce unscheduled engine removals and enhance safety and reliability. The system analyzes sensor data to predict failures and optimize maintenance schedules.

Cleveland Clinic developed a predictive “readmission risk score” model using electronic medical record (EMR) data and 18 clinical and social variables to identify patients at high risk of hospital readmission within 30 days. The model supports personalized care planning and targeted interventions to reduce unnecessary readmissions, improve quality of care, and lower healthcare costs.

Walmart leverages predictive modeling and machine learning to analyze purchasing patterns, weather data, and seasonal trends to forecast product demand. This enables efficient shelf stocking, reduces waste, and improves customer satisfaction through better inventory management and supply chain optimization.

Target implemented AI-powered predictive analytics combined with visualization dashboards to analyze customer purchasing patterns and forecast demand. These tools enabled teams to spot trends, optimize inventory levels, reduce surplus, and improve marketing strategies, resulting in better revenue and customer satisfaction.

Uber implemented advanced data visualization dashboards to clarify complex and dynamic pricing structures and operational data. These visual tools helped stakeholders quickly understand pricing models, reduce ambiguity, and improve transparency, supporting better strategic and operational decisions.

BMW partnered with Accenture to develop the Enterprise Knowledge Harmonizer and Orchestrator (EKHO) platform, leveraging generative AI to transform enterprise data into real-time actionable insights. The platform accelerates decision-making across product development, supply chain, and customer personalization, boosting productivity and operational efficiency across North America.

Dojo uses Google Cloud’s Looker and Gemini generative AI models to build intuitive, AI-powered dashboards that enable business users to explore payment data with natural language queries and dynamic visualizations. This approach simplifies complex payment trends and anomaly detection, empowering faster and more informed business decision-making.

Vodafone deployed TOBi, an AI-powered chatbot using natural language processing and machine learning, across multiple digital messaging platforms to handle customer queries efficiently. TOBi understands over 100 intents, supports chat and voice inputs, and can process images and screenshots for faster issue resolution. It seamlessly escalates complex issues to human agents while providing continuous updates on support tickets. The chatbot has transformed Vodafone’s customer service by reducing wait times, increasing automation, and improving customer satisfaction.

Upstart, a leading fintech, integrated AI-powered risk modeling and alternative data analysis into its credit scoring and loan approval process. This approach expanded credit access to underbanked populations, increased loan approvals by 27%, and reduced default rates by 16%. AI models analyze thousands of data points, including non-traditional financial behaviors, to provide fairer, more accurate lending decisions and faster underwriting.

Snowdrop applies Google Cloud AI and geospatial data analytics to enrich transactional data for financial institutions. This approach improves data accuracy by 40%, increases merchant-to-transaction matching by 15%, and scales processing to over 2.1 billion transactions monthly.

MSCI integrates machine learning with Google Cloud’s Vertex AI, BigQuery, and Cloud Run to enrich datasets covering approximately 1 million asset locations worldwide. This advanced data enrichment helps clients better manage climate-related financial risks through detailed analysis and reporting.

Macquarie employs predictive AI tools on Google Cloud’s Vertex AI platform to clean, unify, and enrich 100% of its data assets. This reduces noise and data roadblocks, enabling teams to generate better insights with generative AI tools, improving decision-making and customer outcomes.

Kredito developed an AI-powered risk assessment model leveraging advanced data analytics and machine learning to predict payment behaviors more accurately. This enabled faster access to working capital for clients by providing lenders with deeper insights into creditworthiness beyond traditional credit scores.

Intesa Sanpaolo developed the Democratic Data Lab on Google Cloud to empower its risk management teams and democratize data access across departments. The platform integrates Vertex AI, Gemini, BigQuery, and Looker to unify lab and production environments, enabling faster development and deployment of risk management solutions. It automates data extraction and model training, reduces regulatory reporting time, and fosters collaboration, improving oversight and control of financial risks in complex markets.

Kanerika developed a ChatGPT-powered CRM dashboard for an ERP provider, enabling holistic sales data visualization, KPI identification, and actionable insights. The dashboard improved sales team performance, customer retention, and competitive edge.

Toptal designed a dashboard UI for a US startup to help human operators monitor and resolve AI image recognition errors in real time. The dashboard visualized exceptions, progress, and resolutions, improving transparency and enabling faster human-in-the-loop corrections.

easyA created multiple AI-powered dashboards for finance and fitness clients, consolidating large datasets, integrating predictive analytics, and providing customizable, real-time visualizations. AI-driven alerts and anomaly detection enabled proactive issue resolution and performance optimization.

Quantzig developed a comprehensive AI-powered decision dashboard for a leading US pharmaceutical company to eliminate information clutter and enhance executive decision-making. The solution analyzed existing dashboards to identify key data points, integrated an AI assistant for dynamic real-time insights, and provided clear, benchmark-based views. This reduced manual effort in insight curation and writing, enabling faster, clearer decisions and increased trust in data.

Scotiabank uses Google Cloud’s Gemini and Vertex AI to power predictive banking experiences and an award-winning AI chatbot. These AI tools enhance digital client service, provide operational insights, and improve customer support effectiveness.

United Wholesale Mortgage uses Google Cloud’s Vertex AI, Gemini, and BigQuery to automate mortgage underwriting, doubling underwriter productivity and shortening loan close times. The AI-driven platform supports 50,000 brokers and clients with faster, data-driven mortgage processing.

SEB’s wealth management division implemented an AI agent built on Google Cloud that suggests responses and generates call summaries during client interactions. This AI assistance increased operational efficiency by 15% and improved the quality of client conversations.

Wayfair employs AI to automate product catalog enrichment, updating product attributes five times faster than manual processes. This automation improves data quality, reduces operational costs, and accelerates time-to-market for new products.

DHL leverages AI-powered business intelligence and machine learning to optimize routing, warehouse operations, and package delivery. AI predicts demand by analyzing historical data, market trends, and real-time inputs like weather and geopolitical events. This enables proactive resource allocation, improved order picking, and dynamic delivery route optimization, reducing costs and enhancing operational efficiency globally.

UPS implemented ORION (On-Road Integrated Optimization and Navigation), an AI-powered logistics platform that analyzes customer data, traffic patterns, weather, and package volumes in real time to generate optimized delivery routes. ORION autonomously adapts to changing conditions, reducing travel distance, saving costs, and benefiting the environment.

Shelf.io provides an AI-powered suggestion engine and analytics dashboard that helps contact center agents navigate complex recommendations, track performance, and eliminate fragmented “shadow knowledge.” Real-time analytics and RAG (Red-Amber-Green) optimization tools improve troubleshooting and support outcomes by delivering faster query handling and better content maintenance.

ClickUp integrated Maven AGI’s Co-Pilot, a ChatGPT-based AI tool designed for customer support, to provide instant ticket summaries, suggest responses, and deliver analytics on support efficiency. This reduced agent workload by enabling customers to self-serve and empowered agents with quick access to accurate answers, resulting in a 25% increase in support rep solves per hour and reduced onboarding time for new staff. The AI was fine-tuned to reflect ClickUp’s brand voice and tone.

Telstra, Australia’s leading telecommunications company, implemented two AI-powered tools-Ask Telstra and One Sentence Summary-built on Microsoft Azure OpenAI Service, Azure AI Search, and Azure Machine Learning. Ask Telstra provides AI-generated responses by searching internal knowledge bases, while One Sentence Summary condenses recent customer history into concise summaries for agents. These tools accelerate agent onboarding, improve customer interactions, reduce follow-up contacts, and enhance overall support efficiency.

A public B2B SaaS company used LivePerson’s Conversational Cloud® and generative AI to automate chat support, achieving a 70% deflection rate (up 30%), 44% first contact resolution (up 30%), and a 75-point NPS improvement. Slack integration enabled seamless escalation to human agents for complex issues.

The Serafen Group automated order inquiries and repetitive tasks with ZyraTalk’s AI chat, reducing staffing costs by 40% while maintaining high-quality support and efficient order processing.

SERVPRO integrated ZyraTalk’s AI live chat to handle high inquiry volumes and provide instant answers to common questions, resulting in a 50% reduction in response times and improved customer experience.

Chas Roberts adopted ZyraTalk’s AI web chat to provide instant support, answer service questions, and guide purchases. This led to a 30% increase in customer engagement and improved sales funnel effectiveness.

Cove Smart implemented Tidio’s Lyro AI to automate live chat support, achieving an 80% reduction in response times, a 70% increase in self-service resolution rates, and a 35% improvement in customer satisfaction.

Bella Santé, a luxury med spa, implemented Tidio’s live chat combined with Lyro AI Agent to automate customer support, personalize client interactions, answer FAQs, gather leads, and escalate complex queries to human agents. This resulted in $66,000 in sales via AI, 75% of chats automated, 450+ new leads in 6 months, and improved personalization and customer satisfaction.

HappyFox uses AI to analyze support tickets, generate and update knowledge articles, optimize search, and recommend relevant content. AI identifies content gaps, evaluates article performance, and enables natural language queries, improving self-service and reducing agent workload.

Document360 offers AI-powered creation and management of knowledge bases, technical documentation, user manuals, and SOPs. AI search, multilingual support, and content analytics help reduce support tickets and keep documentation current and relevant.

Tettra’s AI-powered knowledge base provides instant answers from company documents, Slack summaries, and automated routing to subject matter experts. AI search, tagging, and dashboards help teams find, curate, and update knowledge efficiently, reducing repetitive questions and improving collaboration.

Guru provides an AI knowledge base platform offering enterprise search, content recommendations, and automated content verification and maintenance. Features include AI-powered search, topic identification, and an assistant for summarizing and creating content, integrated with existing tools to improve onboarding and support efficiency.

Netguru developed a custom AI-powered knowledge base called “Netguru Memory” to centralize internal knowledge, case studies, and client solutions. The system uses AI to gather, structure, and retrieve information from multiple sources, featuring a natural language search bot for instant access.

A major utility company serving 2.6 million customers adopted eGain’s AI Knowledge Hub™ combined with Generative AI to overhaul its knowledge base. The platform automated content creation, tagging, and linking, enabling agents to find information 6x faster and build knowledge 5x quicker, significantly improving agent productivity and customer satisfaction.

Automaise and Ada AI platforms help leading brands automate ticket categorization, routing, and resolution. AI agents deflect up to 43% of tickets, reduce ticket volume by 50%, and increase customer satisfaction by over 9%, enabling scalable, efficient support.

Baleària implemented Zendesk AI chatbots to answer common travel support questions and deflect tickets before reaching agents. This resulted in a 96% customer satisfaction score, significant ticket volume reduction, and improved customer experience.

Medline employs Zendesk AI bots to automate ticket sorting and responses across multiple channels, freeing agents to focus on complex issues. Zendesk Copilot assists agents with insights for better problem-solving, improving customer experience and scaling ticket management.

Infiniticube implemented generative AI-powered ticketing for Sun West Mortgage, automating classification, routing, and context-aware responses. The Angel AI bot reduced response times and manual interventions, enhancing accuracy and customer satisfaction.

iQuasar developed an AI-powered ticket management system for a leading Mid-Atlantic IT firm, automating ticket categorization using OpenAI for content analysis and .NET for seamless integration. The system reduced manual labor and errors, streamlined workflows, and improved customer satisfaction.

Lindy.ai provides AI-driven customer feedback analysis for various clients by automating collection, categorization, and sentiment analysis from surveys, chat logs, and reviews. This enables companies to act on trends quickly and improve customer experience with actionable recommendations.

TLG Marketing applied AI to analyze reviews and ratings for a hospitality client, identifying specific service aspects needing improvement. Post-implementation, the client saw a 25% increase in positive reviews and enhanced overall service quality through targeted operational changes.

TLG Marketing implemented AI-driven analytics for a retail client to unify feedback from various sources, reducing response time to inquiries by 40% and significantly boosting customer satisfaction scores through actionable insights and prioritization.