Industry
Car makers, dealers and mobility providers: sales assistance, in car assistants, service booking and warranty operations.
8 organizations in 4 countries run these use cases in public. 20% of those 10 deployments disclose a measurable outcome.
A voice and messaging agent that contacts customers in early arrears and answers their inbound calls, takes payments and sets up payment arrangements within preapproved rules, and recognises signs of hardship or vulnerability so those customers go straight to a trained person.
An AI agent that engages inbound prospects the moment they arrive on the website, chat, messaging or the sales phone line, answers their first questions, qualifies them against the organization's criteria, and books a meeting or hands a ready conversation to the right salesperson, with the context written into the CRM.
A generative AI assistant for the people who run and repair machines in plants, workshops and service centres: it answers fault and procedure questions from equipment manuals, fault reports, shift logs and live machine data, in the technician's language, with links to the sources, so faults are diagnosed faster and expert knowledge is not lost when experienced staff retire.
AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, splits and classifies them, extracts the required fields with a confidence score, validates them against business rules and source systems, and sends only the uncertain cases to a person before the data enters the downstream process.
AI that reads legacy code such as COBOL, PL/I or old Java, explains what each program does, maps its data flows and dependencies, drafts the equivalent modern code or specification, and generates the regression tests needed to prove the new system behaves like the old one.
AI that drafts knowledge base articles from resolved tickets, cases and conversations, detects questions the knowledge base does not answer and articles that are outdated or contradict each other, and proposes new or revised articles for a knowledge owner to review and publish.
AI that inspects every unit on a production line, from camera images, sound or machine process data, to find defects, missing parts and wrong variants in real time, and routes the few anomalies it flags to a quality inspector instead of relying on manual sampling at the end of the line.
A voice assistant built into the vehicle that uses a large language model to hold a natural conversation with the driver and passengers, controls comfort, navigation and media functions, answers questions about the car and the world, and keeps the vehicle's own commands and data under the car maker's control.
Free PDF playbook
8 use cases with deployments, value, playbooks and governance, in one document for your team.
Computed from the 10 public deployments behind these use cases at automotive organizations. Numbers update with every checked record.
Audi, BMW Group, CarMax, Mercedes-Benz Group, Rivian, Toyota Motor Europe, Volkswagen, Volvo Group.
19 public deployments at 19 organizations outside automotive run these use cases too. They are not counted in the numbers above; each use case page shows them.
