Mentioned in 290 AI use cases across 30 industries
An AI assistant answers planning questions by pulling the right guidance from linked cyber, engineering, software, cost, and program protection references when teams are building a TEMP.
An energy company uses customer data to estimate which households are likely to leave, so it can intervene before they switch providers.
AI would eventually handle some maintenance-related steps automatically in the background so workers do less repetitive system work.
Engineers ask the AI to walk through different quality decision paths so they can see what might happen before choosing an action.
This setup lets an external AI assistant securely plug into Seismic so it can look up content, react to events, and help users complete content-related tasks.
Ask questions in plain language about complex medicines-regulation information and have the model help find or explain relevant content.
Bring billing, meter, trading, and production data into one system, then use AI to spot unusual patterns that may mean lost revenue, fraud, or settlement mistakes.
AI models analyze clinical research data to spot patterns and help teams make better development decisions sooner.
AI runs smart tests automatically every time developers change code, so teams get quick feedback before releasing updates.
If a customer needs to change or cancel an appointment, the AI follows the business rules, updates the calendar, and can help refill open slots instead of leaving them empty.
X Games trained a model on company information so new hires can ask questions about things like sales templates or benefits instead of hunting for answers manually.
Maintenance data is sent into company dashboards so finance, operations, and maintenance can all see the same numbers and make better decisions.
Instead of relying on one AI app, Linklaters is combining several AI tools so lawyers can chat, review deals, manage contracts, and use Legora together on client matters.
Use automation to gather all the paperwork and records that prove a supplier followed the rules for safety-critical aircraft parts.
Use available mould stock by date/code to decide when and how much same-grade liquid metal to melt, instead of planning melts in isolation.
The FTC is ordering major AI companies to hand over detailed information so it can understand how generative AI tools are built, sold, and used in the marketplace, including possible effects on competition and consumers.
Shows which service agreements have gone unbilled, how long they have been waiting, and which accounts have the biggest billing delays.
A chat assistant is added around Maximo so workers can ask plain-language questions about maintenance and asset management and get useful answers.
If customer complaints are already logged in a service system, the company can connect that complaint system to quality workflows so complaints automatically feed formal corrective action tracking.
A phone app overlays hidden telecom network assets and instructions onto the real world so technicians can find the right cabinet, cable, or equipment faster.
When an email arrives with several files, the system tries to summarize each attachment and combine the results so an agent can understand the email package quickly.
Instead of digging through spreadsheets, leaders can ask plain-English questions about billing and collections and get answers with tables and dashboard links.
AI writes a first draft of a sales email by combining what the company already knows in CRM with information from the prospect’s website.
A chatbot or search assistant answers staff questions by looking up the exact rule in the crop insurance handbook instead of making them read thousands of pages.
AI writes personalized building messages so occupants get clearer guidance about what is happening and what they should do.
This is like giving every shopper their own smart personal assistant that knows the entire store, all the promotions, and the shopper’s preferences, and can guide them from “I have a need” to “order placed” through natural conversation across web, app, or even voice.
Instead of downloading giant seismic files and processing them later, the system changes and enhances the data instantly in the cloud while people work with it.
AI can understand a request like 'give me all approved drawing files for this project handover' and automatically find, bundle, and deliver the right files while respecting access rules.
A telecom-focused large language model is paired with network knowledge so staff or systems can better understand operations data and support maintenance and performance tasks.
AI reads business documents like sales orders and invoices and pulls out the important details automatically.
When a technician gets stuck, AR or remote assistance tools connect them to an expert who can guide the repair live, instead of the technician hunting through manuals or waiting for help.
AI helps government staff read benefit applications faster, pull out important details, and flag what needs attention so people can decide cases more quickly.
AI can help with school tasks, but people should ask the questions first and make the final decisions after thinking about the results.
A chat assistant lets workers ask plain-language questions about maintenance, reliability, and asset management instead of digging through systems manually.
Oracle provides downloadable integration guides so utility teams can see how different cloud systems connect before they deploy or upgrade them.
The AI reads manuals, procedures, reports, and old analyses so workers can ask questions and get useful summaries without hunting through files.
Set up systems that continuously collect business and market data automatically so revenue decisions are based on fresh, detailed information instead of gut feel.
Equinor turned messy, hard-to-reuse seismic processing outputs into a governed shared data foundation so teams can rerun only what changed, analyze results more easily, and trust the data.
Holcim is exploring generative AI so employees can quickly ask questions and get useful guidance drawn from years of plant knowledge and historical data.
A company rolls out AI agents carefully by choosing workflows, connecting systems, setting rules, and measuring results so the AI can act safely in customer service.
AI can help make schoolwork easier to access, such as supporting translation or helping students who struggle with reading, while still matching each student's needs and accommodations.