AI Use Case Catalog — 172 use cases

Browse by business function. Each profile includes implementation requirements, data needs, AI methods, and real-world evidence from documented deployments.

Aftersales (1)

• Service Diagnostics

  Remote truck diagnostics uses connected-vehicle data to support fault diagnosis and maintenance before service work begins.

Compliance (4)

• Regulatory Reporting

  Grounds AI in a knowledge graph to produce auditable compliance monitoring and regulatory reports from fragmented enterprise data.

• Compliance Monitoring

  Software records and analyses regulated conversations to spot possible compliance failures and missed disclosures.

• Pharmacovigilance

  AI extracts adverse-event data from unstructured and semi-structured documents to support pharmacovigilance and earlier side-effect detection.

• Compliance Gap Assessment

  KPMG Australia used Comply AI to help Audit and Assurance subject-matter experts assess client documents against ESG standards.

Customer Support (9)

• Customer Support Automation

  AI automates customer support by answering routine questions, surfacing account or case context, routing work, and escalating to humans when needed.

• Sentiment & Feedback Analysis

  Analyzes customer sentiment from support interactions and feeds the results back to service teams.

• Agent Assist

  Supports customer-service agents with suggested answers, retrieved information, and next-step guidance while they handle customer inquiries.

• Ticket Classification & Routing

  AI classifies customer support tickets and routes them to the right team or agent.

• Conversation Summarization

  Summarizes prior customer conversations so support agents can pick up cases faster with context.

• Suggested Response Generation

  AI drafts suggested replies and conversation summaries for customer support agents.

• Case Documentation

  AI generates case summaries for customer-service agents so they can document calls faster.

• Escalation Prediction

  Predict likely support escalations so teams can respond proactively before cases miss service levels.

• Resolution Recommendation

  An assistant helps technical-support staff find information for customer questions and choose the next best action.

Finance & Accounting (17)

• Enterprise Risk Analytics

  Continuous, AI-driven risk management for GRC and internal audit teams.

• Fraud Detection

  Detects fraud by scoring transactions, logins, calls, or payment signals in real time so teams can intervene before losses or bad approvals occur.

• Expense Management

  Automated review and approval of employee expense reports and invoices before reimbursement.

• Invoice Processing

  Automates invoice extraction, approval routing, and posting into finance systems.

• Financial Reporting

  AI speeds up recurring financial reporting tasks such as preparing pacing reports.

• Anti-Money Laundering

  Automated monitoring and investigation of transactions, customers, and alerts to detect money laundering risk and reduce false positives.

• Financial Planning

  Finance teams use machine-learning models to predict costs from business drivers and prefill digital plans for P&L planning.

• Know Your Customer

  Remote identity verification for account opening and AML checks in financial services.

• Tax Support

  Automated tax reconciliation and compliance review across fragmented tax data and regulatory content.

• Credit Scoring

  Uses alternative data and machine learning to score borrowers, especially where traditional credit history is thin or unavailable.

• Financial Analysis

  AI aggregates and analyzes financial data for credit analysis and compliance review.

• Revenue Recognition

  Orchestrates revenue recognition across ERP, CRM, billing, and data warehouse systems, with AI agents layered in for anomaly detection and variance analysis.

• Cash Flow Management

  An internal finance chatbot helps support cash-flow forecasting.

• Sales Forecasting

  AI-supported commercial forecasting for LVMH Maisons.

• Account Reconciliation

  AI helps finance teams match accounting transactions, isolate unmatched items, and speed up reconciliation work.

• Audit Evidence Collection

  AI helps audit teams gather, process, and organize supporting evidence for account reviews, testing, and workpapers.

• AI Infrastructure Cost Optimization

  Routes AI workloads to lower-cost models and spots infrastructure cost inefficiencies.

Governance (3)

• Model Inventory Management

  Discover and inventory AI models, applications, and services so security teams can govern AI use and prioritize risk review before deployment.

• AI Risk Classification

  Risk classification is used to decide how much evaluation, red teaming, and security review an AI agent needs before release.

• AI Use Case Inventory

  An enterprise system to evaluate, approve, and oversee AI use cases through governance workflows.

Human Resources (12)

• Employee Engagement & Feedback

  AI summarizes employee feedback from surveys, reviews, and meetings so HR and managers can spot themes and act on them.

• Performance Management

  Software helps managers and employees prepare, structure, and support performance reviews with survey data, feedback, and review context.

• Talent Retention

  AI helps HR teams predict attrition risk and shape career paths, skills development, and retention actions.

• Workforce Planning & Analytics

  AI helps HR teams plan workforce capacity, skills, and headcount by analyzing employee and work data and testing business scenarios.

• Talent Sourcing and Candidate Screening

  AI helps recruiters source candidates, pre-screen applicants, and prepare shortlists and interviews for open roles.

• Employee Onboarding

  AI supports employee onboarding by answering new-hire questions and helping new hires learn people and names.

• Compensation Analytics

  Machine-learning recommendations support salary increase decisions during compensation reviews.

• Candidate Matching

  AI helps recruiters screen, score, and compare applicants so human teams can prioritize the right candidates for review.

• Learning Recommendations

  AI recommends personalized learning content to employees based on their roles, skills, and assessment results.

• Skills Gap Analysis

  Coursera uses machine learning to assess employee course performance and show business customers where skill gaps exist.

• HR Service Assistant

  An internal HR assistant handles routine employee questions and service requests through chat and self-service apps.

• Internal Talent Marketplace

  An internal talent marketplace matches employees to internal jobs, projects, mentorships, and learning opportunities.

IT & DevOps (22)

• Code Generation

  AI assists software teams with code creation, code context, test generation, and related development tasks.

• Code Review

  AI reviews code changes, flags defects or issues, and in some cases helps approve pull requests before engineers do a final check.

• Test Automation

  AI generates, validates, and helps maintain software tests inside developer workflows.

• Vulnerability Discovery

  AI scans code and software products for security flaws, then helps teams verify findings and prepare fixes.

• Incident Management

  AI helps IT and operations teams collect incident context, identify patterns, and prepare or surface next steps for faster handling of service and security incidents.

• Monitoring & Observability

  Internal teams use observability tooling to trace and debug AI applications during development.

• Spam Detection

  Screens incoming email for phishing and forwards suspicious messages to security analysts.

• Inference Optimization

  Optimizing deployed model serving to reduce latency, improve throughput, and control GPU use in production inference.

• Attack Simulation

  AI red-team testing for AI systems before launch and in production.

• Attack Surface Management

  Unify security and IT asset data into a queryable layer for attack-path analysis and exposure management.

• Legacy Code Modernization

  AI helps developers understand legacy code, generate modern replacements, and validate the changes before release.

• CI/CD Automation

  AI post-processing in the software-development workflow helps improve code readability, generate unit tests, and address security issues before code moves forward.

• Code Documentation

  AI helps software engineers produce and maintain documentation for precision-agriculture software and FieldOps.

• Cybersecurity Threat Detection

  AI scans security assets and events against threat intelligence and helps triage alerts in internal security operations.

• IT Service Desk Assistant

  An employee-facing IT service desk assistant answers routine support questions, troubleshoots common issues, and escalates unresolved cases to human engineers.

• AI Compute Orchestration

  Orchestrating internal AI platforms so teams can standardize pipelines, manage model lifecycles, and deploy AI services into production.

• Identity and Access Intelligence

  AI interprets access requests, applies permissions, and automates provisioning and approval steps for employees or agents.

• Incident Root Cause Analysis

  Generative and agentic tools analyze logs and incident data to help teams find the root cause of service outages and security incidents.

• Alert Correlation

  AI triages security alerts in the SOC and routes lower-level incidents to automation while analysts keep critical threats.

• Network Traffic Analysis

  AI analytics helps monitor mobile network performance and support network planning in Vodafone’s operations.

• Security Policy Compliance

  A security-focused generative AI query tool helps employees check company security policies, standards, and guidance when building AI applications.

• Threat Intelligence Analysis

  Generative AI supports cyber-defense teams by drafting attack-training emails, helping with attack diagnosis, and speeding up threat-intelligence detection-rule work.

Knowledge Management (9)

• Document Processing

  Employees use AI to read, summarize, classify, and extract information from internal documents and contracts.

• Personalized Recommendations

  Personalized recommendations surface products, videos, listings, or content that match a user's past behavior and stated or inferred preferences.

• Knowledge Assistant

  An internal knowledge assistant helps employees ask questions and retrieve answers from company information, policies, and product knowledge.

• Knowledge Base Management

  Organises fragmented internal knowledge into connected, searchable context so employees can find answers and reuse expertise.

• Deep Research

  Employees use Copilot for internal research, summarization, ideation, and translation.

• Enterprise Search

  Employees search internal knowledge bases, documents, and work systems through natural-language query tools and chat assistants.

• Meeting Knowledge Extraction

  Captures meeting content and turns it into summaries, notes, and follow-up drafts for later use.

• Expert Knowledge Capture

  Captures employee know-how from internal documents and expert review so it can be reused in knowledge work.

• Investment Research Copilot

  AI helps investment teams analyze investment information and support security selection and macro-investment research.

Marketing & Sales (19)

• SEO Optimization

  Uses an AI agent to inspect a site, pull Google Search Console data, read supporting documentation, and draft or audit SEO articles.

• Content Generation

  AI that drafts and adapts marketing content from campaign context, product assets, and brand materials.

• Market Research

  Teams use AI to search, summarize, and synthesize research inputs into client-ready or decision-ready insights.

• Audience Segmentation & Targeting

  Uses customer and dealership data to segment audiences and target marketing across digital channels.

• Content Moderation

  AI helps DoorDash moderate reviews in internal workflows.

• Dynamic Pricing

  AI recommends restaurant-specific menu prices based on estimated local willingness to pay.

• Campaign Optimization

  Uses AI and scenario modeling to compare campaign and marketing investment choices, then adjust spend toward better-performing outcomes.

• Conversion Optimization

  AI and memberships are used after purchase to raise customer lifetime value and profit.

• Audience Intelligence

  AI turns survey, interview, and interaction data into audience insights for marketing, sales, and campaign planning.

• Conversational Commerce and Marketing

  A messaging-based sales process where buyers can discover products, ask questions, and get purchase help through conversational channels.

• Flight Search

  Machine learning adjusts flight search results in real time as itineraries and schedules change.

• Churn Prediction

  Predict subscriber risk from behavioural signals and use the score to target follow-up or access treatment.

• Customer Lifetime Value Prediction

  ASOS uses customer lifetime value prediction in marketing to customize and target retention strategies.

• Proposal & Quotation Creation

  AI helps sales teams retrieve, synthesize, and draft proposal content for customer deals.

• Lead Scoring & Prioritization

  Prioritizes sales tasks and follow-up on opportunities using current work-system context.

• Video Localization and Dubbing

  Autodesk localizes campaign and product videos with generative-AI translation services so marketers can review translated versions and update product names through a dictionary-based platform.

• Channel Analytics

  AI-powered analytics helps B2B teams investigate revenue drivers and direct-sales performance across digital channels.

• Sales Outreach Optimization

  Optimizes sales outreach by using AI to surface leads, research prospects, prioritize follow-ups, and generate outreach content.

• Ask Engine Optimization

  Curated internal knowledge helps teams answer business questions through AI search and generative-AI tools.

Operations (18)

• Quality Control

  AI screens physical and digital outputs for defects, then routes exceptions to human review.

• Operational Disruption Management

  AI helps operations teams detect disruptions, reuse knowledge from similar cases, and reduce downtime or manual recovery work.

• Resource Allocation

  AI recommends and executes how cloud, network, beds, and staff are allocated so teams can respond to demand and bottlenecks faster.

• Process Automation

  Automates repetitive operational work such as document uploads, manual transactions, and report requests.

• Capacity Planning

  Uses demand and network data to plan capacity so stores or infrastructure can be sized and adjusted to expected load.

• Incident Investigation Support

  Engineers use AI to analyze operational telemetry or production data and support incident or issue investigations before they act.

• Risk Prediction

  Predictive monitoring for civil assets that flags infrastructure risk before surface damage appears.

• Remote Patient Monitoring

  AI-linked ambient monitoring for senior living facilities to watch residents, flag falls, and support care coordination.

• Schedule Optimization

  Optimizes job scheduling from historical task data so teams can assign work faster and more accurately.

• Fault Detection & Diagnostics

  AI analyzes borescope video to flag possible engine issues during inspection.

• Project Cost Estimation

  An internal quoting and cost-estimation system helps manufacturers process customer quote requests faster and estimate nonstandard work more consistently.

• Load Forecasting

  AI forecasts energy demand or gas demand for facilities so operations teams can plan maintenance and consumption in advance.

• Clinical Trial Optimization

  AI flags potential protocol deviations during clinical trial conduct by matching medication names and classes against study rules.

• Industrial Process Monitoring

  Monitors manufacturing processes in line, detects defects or deviations, and supports process adjustments before issues spread.

• Operational Anomaly Detection

  AI monitors operational data to surface anomalies, issues, and early warning signals in ongoing operations.

• Safety Risk Prediction

  AI reviews reported event data to surface safety trends and potential issues before they become incidents.

• Shop Floor Optimization

  Production-floor teams build and deploy machine-learning models for inspection and equipment monitoring in manufacturing factories.

• Spare Parts Forecasting

  Forecasting spare parts demand to support inventory and replenishment planning.

Other (17)

• Predictive Maintenance

  AI monitors equipment condition data to flag likely failures early so maintenance can be scheduled before breakdowns interrupt operations.

• AI-Assisted Video Editing

  AI turns written research or communications into reviewable client and employee videos.

• Warehouse Operations Optimization

  AI analyzes warehouse work and generates work orders to improve picking, packing, and item collection efficiency.

• Weather Forecasting

  Weather forecasting models are used to produce local weather and rainfall guidance for agricultural planning.

• Collision Avoidance

  Systems that detect nearby hazards and warn or steer buses, ships, or drones away from collisions.

• Generative Design

  Design teams generate and compare product or component alternatives from sketches, requirements, or parameter sets, then refine the best option by hand.

• Pest Identification

  Field technicians upload pest photos to identify the pest and receive suggested treatment plans.

• AI-Accelerated Simulation

  AI speeds up virtual crash and structural simulation so engineers can run more design iterations earlier in vehicle development.

• Autonomous Harvester

  Autonomous harvesters use computer vision and machine learning to find ripe nuts and guide robotic machines in orchards.

• Yield Prediction

  Forecast greenhouse crop yield from climate data so growers can plan further ahead.

• Legal Document Analysis

  Legal teams use AI to search, compare, review, and classify contracts and other legal documents.

• AI-Assisted Medical Research

  Internal medical-AI research uses agents, curated data, and high-performance infrastructure to support data curation, annotation, model training, testing, and clinical validation.

• Customer Relationship Management

  AI helps sales and client-facing teams choose who to contact and manage customer conversations more efficiently.

• Breeding Optimization

  AI supports targeted plant breeding in internal R&D.

• Contract Risk Analysis

  Scans contracts for function-specific provisions and non-standard terms in finance and procurement.

• Due Diligence Automation

  AI helps analysts verify third parties, compile public-source due diligence reports, and summarize escalated cases for subject-matter experts.

• Weed Detection

  Computer-vision models distinguish crops from weeds so spraying can target only the plants that need treatment.

Procurement (2)

• Procurement Optimization

  AI supports supplier negotiations and procurement optimization by automating autonomous negotiations and extending them across spend categories.

• Supplier Evaluation

  Generative AI helps procurement teams compare supplier offers against tender requirements and review supporting documents.

Product Development (26)

• Drug Discovery

  AI supports drug discovery by generating predictive chemistry and safety outputs, and by speeding up model testing and deployment for research teams.

• Autonomous Driving

  AI supports autonomous-vehicle development by analyzing road data, training vehicles in simulation, and testing fixes before they reach the road.

• Biometric Identification

  Comparing a live face to stored identity images or watchlists to verify who a person is or flag a match in security screening.

• AI-Optimized Additive Manufacturing

  AI optimizes additive manufacturing conditions and controls metal 3D printing in product development.

• Autonomous Flight

  Autonomous flight systems pilot aircraft and drones without a human pilot in the loop for missions such as surveillance and package delivery.

• Visual Content Generation

  Researchers generated synthetic fingerprint images to test weaknesses in fingerprint matching systems.

• Algorithmic Trading

  AI systems generate and adjust trading decisions and risk controls in automated trading workflows.

• Chip Design

  AI helps engineering teams design, analyze, and validate chips faster and with fewer design errors.

• Visual Inspection

  Visual inspection systems check parts, assemblies, or finished vehicles from photos or video to find defects and confirm that installed components match what the line expects.

• Digital Pathology

  Digital pathology models use slide images and clinical variables to predict treatment response and recurrence risk in breast cancer care.

• Biomarker Discovery

  GPU-accelerated analysis of gene-expression combinations to support biomarker discovery and patient stratification.

• Materials Discovery

  Machine learning and robotics are used to propose and test new chemical compounds and materials.

• Advanced Driver Assistance Systems

  Automotive teams use camera data, cloud ML infrastructure, and driver-support software to develop and improve advanced driver assistance systems.

• AI Travel Planning

  Hilton uses AI to help guests plan trips through the Hilton AI Planner.

• Flight Booking Assistance

  AI helps travel agents or travelers search, narrow, and complete flight bookings from a natural-language request.

• Autonomous Network Operations

  Autonomous network operations uses digital twins and agentic AI to prevent outages, find root causes, and speed mitigation in large-scale network operations.

• Indoor Agriculture

  Indoor farms use proprietary robotics, AI, and smart operations technology to grow leafy greens and herbs year-round.

• RoboAdvisory

  A Latin American robo-advising platform used in financial services product development.

• Autonomous Equipment

  Daifuku uses AI, robotics, IoT, and digital twin technologies to develop autonomous material handling equipment for warehouses and manufacturing sites.

• Digital Twin Simulation

  AI is used to build digital twins of proposed production lines and simulate manufacturing before physical construction.

• Drug Repurposing

  Using a graph-based knowledge layer to connect fragmented R&D data and support drug repurposing decisions.

• Product Concept Testing

  AI turns social-media insights into product proposals that employees can evaluate before prototyping and testing.

• Requirements Engineering

  AI helps teams draft and refine engineering specifications, requirements documents, and early design artifacts for product development work.

• Vehicle Testing

  AI supports vehicle test planning, test generation, and validation by using historical and specification data to reduce manual engineering work.

• Automotive Simulation

  Stellantis is using AI in virtual development during early-stage vehicle design.

• User Feedback Synthesis

  GenAI analyzes written product reviews to summarize feedback and sentiment for product development teams.

Production (6)

• Automated Material Handling

  AI supports remote machine operation, site analytics, and in-cab safety controls for Caterpillar’s heavy equipment operations.

• Robotic Manipulation

  Robots use vision, control software, and robotic arms to pick, place, move, inspect, and operate equipment in production and lab workflows.

• Autonomous Mobile Robot

  Autonomous mobile robots move materials safely across factory floors in automotive manufacturing plants.

• Production Anomaly Detection

  AI monitors production and quality-control data to spot anomalies, defects, and workflow deviations on the factory floor.

• Maintenance Guidance

  Technicians use a generative-AI maintenance copilot to get equipment details, repair guidance, and captured plant knowledge during repairs.

• Worker Assistance

  Employees use Nova to look up company information and troubleshoot issues on the factory line.

Supply Chain Management (5)

• Demand Forecasting

  Demand forecasting uses historical and external signals to estimate future material needs and support inventory, production, and logistics planning.

• Inventory Optimization

• Production Planning

  AI helps teams plan production by combining supplier, demand, and order data to adjust forecasts and scheduling.

• Demand Sensing

  Uses demand sensing on POS feeds to improve promotional and media-driven demand forecasting.

• Logistics & Route Optimization

  AI plans routes for robots, trucks, or inbound parts movements to reduce congestion and unnecessary travel.

Sustainability (2)

• Energy Optimization

  Optimizes energy use in plants, buildings, vessels, networks, and charging infrastructure by using models, simulations, and digital twins to find waste and adjust operations.

• ESG Reporting

  Centralise global greenhouse-gas and ESG data for reporting and disclosure across sites and subsidiaries.