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AI is already at work in companies

Tools that speed up what your team already does

These 20 companies already use AI in their everyday work. Each case says what they did, with its source, so you can see what is already possible.

  • 01

    Klarna

    Customer-service virtual agents

    An AI assistant handles refunds, returns and payment questions. In its first month it took two-thirds of Klarna's service chats.

  • 02

    Telstra

    Agent assist in the contact center

    Before and during each call, agents see the customer's history, why they are calling and AI suggestions.

  • 03

    Morgan Stanley

    Searching the company's knowledge

    Advisors ask an internal assistant about the firm's own documents. More than 98% of advisor teams use it.

  • 04

    HubSpot

    Lead scoring and next best action

    The CRM scores contacts and deals, ranks opportunities and explains what moves each score.

  • 05

    Coca-Cola

    Marketing content and creative

    "Create Real Magic" let creators make artwork with the brand's assets using GPT-4 and DALL-E.

  • 06

    Netflix

    Personalized recommendations

    What each person watches, browses and clicks turns into title suggestions made for them.

  • 07

    Walmart

    Demand forecasting and inventory

    Models forecast demand and decide how much inventory goes where, down to differences by ZIP code.

  • 08

    UPS

    Delivery route optimization

    AI and machine learning map the delivery route for each driver.

  • 09

    Siemens, Sachsenmilch

    Predictive maintenance

    Sensors and AI flag equipment problems early. Catching one failing pump in time saved a dairy plant a six-figure sum.

  • 10

    BMW Group

    Visual quality inspection

    Image recognition checks parts on the production line for missing, misplaced or defective pieces, in real time.

  • 11

    Visa

    Payment fraud detection

    Every card payment gets a fraud risk score in real time. Visa estimated it helped prevent $25 billion in fraud in one year.

  • 12

    HSBC

    Financial crime detection

    AI watches transactions for new crime patterns: 2 to 4 times more cases found, with 60% fewer false alarms.

  • 13

    Lemonade

    Insurance underwriting and pricing

    The insurer uses AI and data from its app and platform to underwrite and price some policies.

  • 14

    AXA

    Insurance claims

    AI decision systems speed up legitimate claims and help detect fraud, in 15 countries.

  • 15

    JPMorgan Chase

    Document review and data extraction

    COIN reads credit agreements and pulls out key terms in seconds, work that used to take more than 360,000 lawyer-hours.

  • 16

    GitHub

    Coding copilots

    GitHub's own engineers use Copilot to fix bugs, restructure code, prepare changes and review them.

  • 17

    Microsoft

    Cybersecurity

    In an internal study, analysts using an AI phishing agent found malicious emails up to 550% faster.

  • 18

    Unilever

    Recruiting

    AI-assessed video interviews for graduate hiring. Unilever said it saved 100,000 hours of interviews.

  • 19

    Mayo Clinic

    Medical imaging support

    AI does the first pass on imaging, like tracing and measuring structures on CT scans, to support radiologists.

  • 20

    Amgen

    Drug discovery

    Generative models design protein molecules and simulate which could be safer and more effective, millions at a time.

What's possible

What your team can do with AI

Real tasks, the ones that take a team the most time, and how AI helps with each one. Every idea has its own article with examples.

  1. 01

    Content ideation

    Campaign themes, blog angles, social-post concepts, messaging pillars

    Read more
  2. 02

    Blog and article drafting

    First drafts, outlines, summaries, SEO-friendly rewrites

    Read more
  3. 03

    Ad-copy generation

    Variations for Google, Meta, LinkedIn, display, and video ads

    Read more
  4. 04

    Email marketing

    Subject lines, nurture sequences, personalized lifecycle emails

    Read more
  5. 05

    Social-media creation

    Posts, captions, hashtag suggestions, content-calendar drafts

    Read more
  6. 06

    Image and creative generation

    Ad concepts, product visuals, campaign mockups, background images

    Read more
  7. 07

    Video production support

    Scripts, storyboards, subtitles, clips, voiceovers, video variations

    Read more
  8. 08

    SEO optimization

    Keyword clustering, content briefs, on-page recommendations, schema drafts

    Read more
  9. 09

    Website personalization

    Dynamic headlines, recommended content, offers by audience segment

    Read more
  10. 10

    Audience segmentation

    Grouping customers by behavior, intent, value, and interests

    Read more
  11. 11

    Lead scoring

    Identifying leads most likely to convert or need sales follow-up

    Read more
  12. 12

    Account-based marketing (ABM)

    Prioritizing target accounts and tailoring account-specific messaging

    Read more
  13. 13

    Campaign performance optimization

    Detecting weak ads, reallocating budget, and recommending next actions

    Read more
  14. 14

    Predictive customer churn

    Identifying customers likely to disengage or cancel before they do

    Read more
  15. 15

    Customer lifetime value prediction

    Finding high-value audiences for retention and acquisition campaigns

    Read more
  16. 16

    Social listening and sentiment analysis

    Tracking brand sentiment, emerging conversations, and customer concerns

    Read more
  17. 17

    Competitive intelligence

    Monitoring competitor messaging, launches, pricing, and share of voice

    Read more
  18. 18

    Market research synthesis

    Summarizing surveys, reviews, interviews, and open-text feedback

    Read more
  19. 19

    Chatbots and conversational marketing

    Capturing leads, answering product questions, and qualifying prospects

    Read more
  20. 20

    Localization and translation

    Adapting campaigns for regions, languages, cultural tone, and local SEO

    Read more

Who writes this

Hi, I'm Wanda

I have spent more than 20 years designing and building digital products: online stores, apps, email, animation and now systems built with AI. I studied psychology and communication, and that helps me explain new things without jargon.

WandaBuilds is my personal project: I write it in my free time, I test every tool before I recommend it and the opinions are my own.

More about me

Wanda Oyola
Wanda Oyola, designer, developer and communicator

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