AI use cases by industry

AI in action: how industries are transforming with AI.

15 real examples across five industries, from contract review and claims to clinical notes, retail and logistics. Each one shows the problem, what the AI does and the result the company reported.

Banking, wealth and payments

Banks run on documents, questions and decisions, which makes them natural ground for AI.

Commonwealth Bank of AustraliaMachine learning

Stopping scams before money leaves

The challenge
Scams and fraud were costing customers more every year, and manual review could not keep up.
What AI does
AI analyzes more than 20 million payments a day, flags suspicious transactions and sends around 20,000 proactive warnings to customers daily.
50% lowercustomer scam losses, with customer-reported fraud down 30%

Source: Finextra, 2024

Bank of AmericaConversational AI

A virtual assistant at massive scale

The challenge
Clients needed help with balances, payments and account questions at any hour.
What AI does
Erica, an AI assistant in the mobile app, answers questions, completes everyday tasks and surfaces personalized insights.
3 billion+client interactions since launch, reported in 2025

Source: ATM Marketplace, 2025

Morgan StanleyGenerative AI

Instant answers for financial advisors

The challenge
Advisors had to search a vast library of research and procedures to answer client questions.
What AI does
An assistant built on OpenAI models lets advisors ask plain-language questions across about 100,000 internal documents.
98%of advisor teams use it, and document access rose from 20% to 80%

Source: OpenAI customer story, 2024

For your business
What this could look like at your scaleFor a credit union or community bank: a member assistant that resolves routine questions around the clock, and a document agent that pre-reviews loan files before an underwriter sees them.

Insurance

Claims are where insurers win or lose customers. AI is shortening the wait and improving the conversation.

AvivaMachine learning

Rewiring the claims journey

The challenge
Complex motor claims took weeks to assess, and customers were frustrated by delays.
What AI does
More than 80 AI models now support the claims process, from routing to liability assessment.
23 days fasterliability assessment on complex cases, with complaints down 65%

Source: McKinsey case study, 2024

AllianzAgentic AI

Seven AI agents for storm claims

The challenge
After severe storms, thousands of small food spoilage claims piled up and took days to process.
What AI does
Seven specialized AI agents verify coverage, confirm the weather event, check for fraud and recommend a payout. A human claims professional makes every final decision.
80% fasterclaim processing and settlement, with files ready for human review in under five minutes

Source: Allianz, 2025

AllstateGenerative AI

Clearer, kinder claims communication

The challenge
Claims emails were full of jargon and could read as cold or suspicious.
What AI does
Generative AI drafts the messages sent to claimants. Representatives now review them for accuracy instead of writing from scratch.
About 50,000claims communications drafted each day, with clearer and more empathetic language

Source: The Register, 2025

For your business
What this could look like at your scaleFor a regional insurer or brokerage: AI that triages incoming claims, routes them to the right adjuster and drafts clear updates for customers.

Healthcare

Clinicians and staff lose hours to paperwork and payer rules. AI is giving that time back to patients.

Kaiser PermanenteGenerative AI

Ambient AI scribes

The challenge
Physicians spent evenings writing visit notes, a leading contributor to burnout.
What AI does
With patient consent, an AI scribe listens to the visit and drafts the clinical note for the physician to review.
16,000 hoursof documentation saved across about 2.5 million visits in 15 months

Source: Becker's Hospital Review, 2025

Nebraska MedicineConversational AI

AI agents that answer patient calls

The challenge
Patients waited on hold for routine requests like booking appointments and getting transferred.
What AI does
Conversational AI agents answer calls instantly, handle scheduling and routine questions, and pass complex matters to staff.
70%of incoming calls handled by AI, with 40% fewer calls needing a person

Source: Healthcare IT News, 2025

Community Health Care Network, FresnoMachine learning

Fewer insurance denials

The challenge
Prior authorization denials created rework, delays and lost revenue.
What AI does
An AI tool reviews claims before submission and flags the ones likely to be denied.
22% fewerprior authorization denials from commercial payers, saving 30 to 35 staff hours a week

Source: American Hospital Association, 2024

For your business
What this could look like at your scaleFor a pharmacy chain or clinic group: AI that handles refill and appointment calls, flags insurance problems before they become denials, and drafts documentation for staff to approve.

Retail and e-commerce

Retail runs on product data and customer questions. AI now handles both at a scale people cannot.

WalmartGenerative AI

Fixing the product catalog at scale

The challenge
Hundreds of millions of product details were incomplete or inconsistent, which hurt search and shopping.
What AI does
Generative AI created and improved product data across the online catalog.
850 million+catalog data points improved, work executives said would have needed about 100 times the staff

Source: Retail Dive, 2024

Lowe'sAgentic AI

An AI shopping assistant

The challenge
Home improvement shoppers need expert advice that is hard to give online.
What AI does
Mylow, an AI assistant, answers project questions and recommends products online. A companion version supports store associates.
3xhigher conversion for shoppers who use the assistant

Source: Retail Dive, 2026

KlarnaAgentic AI

AI-first customer service, with a lesson

The challenge
Millions of shoppers needed help with refunds, returns and payments in many languages.
What AI does
An AI assistant handles service conversations around the clock in 35 languages. In 2025 Klarna added human agents back so customers can always reach a person.
11 to 2 minutesaverage resolution time in the first month, with two-thirds of chats handled by AI

Source: CX Today, 2024 and Entrepreneur, 2025

For your business
What this could look like at your scaleFor an independent retailer or online brand: AI that writes and fixes product listings, answers shopper questions on your site and resolves order issues instantly.

Logistics and operations

In logistics, small gains repeated millions of times add up to enormous savings, and AI agents now handle the paperwork.

C.H. RobinsonAgentic AI

A fleet of 30+ AI agents

The challenge
Freight quotes, orders and appointments arrived by email and took people hours to process.
What AI does
More than 30 AI agents read requests, price quotes, enter orders and book appointments across the network.
32 secondsto deliver a custom price quote, with 3 million+ shipping tasks automated

Source: C.H. Robinson, 2025

DHL Supply ChainRobotics and AI

Robots that work alongside people

The challenge
Warehouses faced labour shortages and rising e-commerce order volumes.
What AI does
AI-guided mobile robots bring work to warehouse staff and optimize picking paths.
500 millionpicks across 35+ sites, with the latest 100 million completed in 154 days

Source: Logistics Business, 2024

AmazonGenerative AI

An AI traffic controller for robots

The challenge
Over a million warehouse robots had to share floor space without slowing each other down.
What AI does
DeepFleet, a generative AI foundation model, coordinates how robots move through fulfillment centres.
10% fasterrobot travel times across a fleet of 1 million robots

Source: The Robot Report, 2025

For your business
What this could look like at your scaleFor a distributor or field service business: AI that plans routes and schedules, predicts demand and equipment issues, and keeps inventory where it is needed.

These examples come from public reports by the companies named or by reputable publications, and figures are as reported at the time. GenAI Ventures was not involved in these projects. They are shared to show what is possible with AI, agentic AI and data.

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