Industry

AI use cases in automotive

Car makers, dealers and mobility providers: sales assistance, in car assistants, service booking and warranty operations.

Use cases: 12
Deployments: 29
Organizations: 27
Outcome disclosed: 52%

12 Automotive use cases

27 organizations in 8 countries run these use cases in public. 52% of those 29 deployments disclose a measurable outcome.

Automotive

AI agent for dealer service retention and aftersales outreach

AI dealer service retention is an AI agent that reaches vehicle owners by text or email when service is due and books the appointment in that conversation. It continuously mines a dealer's service records for each vehicle's factory intervals, declined work, open recalls and lapsed visits, and answers what is due, so a lean service team keeps more of the visits it would otherwise lose to time or a competitor.

Deployments

5 public, best grade C

Autonomy

Supervised agent

Cross industryBanking

AI agent for early collections and hardship support

A voice and messaging agent that contacts customers in early arrears to collect payments. It answers their inbound calls too, 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.

Deployments

4 public, best grade C

Reported cost reduction

75%

SameDay Auto Finance, vendor claim

Cross industryTechnology and software

AI agent for inbound lead qualification and meeting booking

An inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson. It works on the website, chat, messaging or the sales phone line, answers their first questions, qualifies against the organization's criteria, and writes the conversation context into the CRM so the salesperson receives a ready conversation.

Deployments

8 public, best grade C

Median conversion uplift, vendor reported

19%

3 deployments

ManufacturingAutomotive

AI copilot for plant operators and maintenance technicians

A plant operator and maintenance copilot is 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.

Deployments

5 public, best grade B

Reported accuracy

at least 90%

Daikin Industries, organization claim

AutomotiveManufacturing

AI copilots for production scheduling and sequencing

AI production scheduling and sequencing is AI that continuously resequences production orders and material flow between lines as conditions change, flagging conflicts and proposing changes for a human to approve. This includes routing parts and transfer carts and resequencing the order list at a line, triggered by events such as a machine going down, a rush order or a late part. A planner or operator no longer works out the sequence by hand.

Deployments

2 public, best grade B

Reported productivity gain

about 86%

Hyundai Motor Group, organization claim

Cross industryGovernment and public sector

AI document intelligence for unstructured forms and documents

Intelligent document processing is AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, and splits, classifies and extracts the required fields. Each field gets a confidence score, is validated against business rules and source systems, and only the uncertain cases go to a person before the data enters the downstream process.

Deployments

10 public, best grade B

Median cycle time reduction, vendor reported

60%

4 deployments

Cross industryBanking

AI for legacy code modernization

AI for legacy code modernization reads old code such as COBOL and explains what each program does. It also works on languages like PL/I or old Java, mapping each program's data flows and dependencies, drafting the equivalent modern code or specification, and generating the regression tests needed to prove the new system behaves like the old one.

Deployments

7 public, best grade B

Reported cycle time reduction

about 50%

Google, organization claim

Cross industryGovernment and public sector

AI for support knowledge article generation and maintenance

AI knowledge article generation is AI that drafts support knowledge base articles from resolved tickets, cases and conversations. It also 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.

Deployments

4 public, best grade B

Autonomy

Copilot

ManufacturingAutomotive

AI quality inspection on the production line

AI production line quality inspection is AI that inspects every unit on a production line to find defects, missing parts and wrong variants in real time. It works from camera images, sound or machine process data, and routes the few anomalies it flags to a quality inspector instead of relying on manual sampling at the end of the line.

Deployments

4 public, best grade B

Reported cost reduction

Pegatron, vendor claim

AutomotiveManufacturing

AI supply chain risk and disruption monitoring

Supply chain disruption monitoring is AI that watches transport lanes, weather, strikes, ports and a manufacturer's own suppliers' suppliers for signs of a coming disruption. It turns scattered news and sensor signals into one validated alert per event, giving planners enough lead time to reroute, expedite or substitute before the disruption reaches production or the customer.

Deployments

8 public, best grade C

Reported productivity gain

at least 50%

Schaeffler, vendor claim

BankingAutomotive

AI underwriting and verification for auto loans

AI underwriting and verification for auto loans is AI that verifies the income, identity, employment and residence data on an application for a lender. It checks that data in real time against supporting documents and external databases, clears routine stipulations automatically, flags fraud patterns such as altered pay stubs, and gives the lender's credit policy engine a verified, structured application instead of a stack of documents a person has to check by hand.

Deployments

7 public, best grade B

Reported automation rate

70%

Westlake Financial, organization claim

Automotive

Generative AI voice assistant in the car

An in car AI voice assistant is a voice assistant built into the vehicle that uses a large language model to hold a natural conversation with the driver and passengers. It 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.

Deployments

8 public, best grade B

Autonomy

Autonomous

Free PDF playbook

AI use cases in automotive: the playbook

12 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 29 public deployments behind these use cases at automotive organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Automotive use cases
KPI	Median	Reported range	Data points	Claimed by
Productivity gain	86%	50% to 90%	3	1 organization, 2 vendor

Business functions

AI patterns used

Deployments by stage

Announced
1
Pilot
1
Production
20
Scaled
7

Public deployments by region

North America
14
Europe
13
Asia Pacific
2

Organizations with a public deployment

Audi
BMW Group
BYD
Bob Rohrman Kia
Bridgestone Americas
CarMax
Consumer Portfolio Services
Fred Anderson Toyota
General Motors
Honda
Hyundai Motor Group
Maroone Auto Group
Mercedes-Benz Group
Mercedes-Benz Group AG
Murfreesboro Nissan
Paragon Honda
Renault
Rivian
Schaeffler
Stellantis
Toyota Motor Europe
Village Toyota
Volkswagen
Volvo Group
Walter's Automotive Group
Westlake Financial
ZF Friedrichshafen

The same use cases in other industries

43 public deployments at 42 organizations outside automotive run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries

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State of AI Use Cases

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KPI benchmarks

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Methodology

How every record is verified and graded.