Real-world results

Documented outcomes from companies that have put AI, automation, search and digital optimization to work, and what each one means for a business like yours.

Examples marked “Industry example” are drawn from public sources, each linked. They are not ThinkInstantAI client work. Our own case studies will appear here as client engagements are approved for publication.

Showing 5 examples

AI & intelligent automationIndustry example

Klarna · Fintech · 2024

Klarna's AI assistant handled two-thirds of its customer service chats in its first month.

What they did: Launched an AI assistant, built with OpenAI, that resolves customer service chats in more than 35 languages, while customers can still choose to talk to a person.
Reported results: 2.3 million conversations in the first month, work equivalent to 700 full-time agents, 25% fewer repeat inquiries, and resolution time cut from 11 minutes to under 2.
The lesson: In 2025 Klarna began bringing more people back into support for complex cases. Automate the routine, and keep humans for nuance.

Source: Klarna press release

SEO & AI search visibilityIndustry example

Rotten Tomatoes · Media · Google case study

Rotten Tomatoes measured a 25% higher click-through rate on pages with structured data.

What they did: Added structured data markup to 100,000 unique pages, so search engines could understand each page and show it as a richer result.
Reported results: 25% higher click-through rate on the enhanced pages than on pages without structured data. In another Google case study, Food Network enabled search features on 80% of its pages and saw 35% more visits.
The lesson: Pages that machines can read clearly earn more attention in search, and the same clarity helps AI systems understand your content.

Source: Google Search Central

AI strategy & consultingIndustry example

Morgan Stanley · Wealth management · 2023 to 2024

Morgan Stanley tested every AI use case before launch, and over 98% of advisor teams now use its assistant.

What they did: Built an evaluation framework with OpenAI to test each AI use case against real tasks before deployment, with advisors grading answers for accuracy.
Reported results: More than 98% of advisor teams actively use the internal AI assistant, and access to the firm's knowledge documents rose from 20% to 80%.
The lesson: Governance and testing are what make adoption possible. People use AI tools they can trust.

Source: OpenAI customer story

AI analytics & business intelligenceIndustry example

UPS · Logistics · 2012 to today

UPS's route optimization system cuts around 100 million miles from its deliveries every year.

What they did: Built ORION, which applies advanced algorithms and machine learning to package and map data to plan the most efficient route for each driver, every day.
Reported results: About 100 million fewer miles and 10 million fewer gallons of fuel a year, with expected savings of $300 to $400 million annually. Cutting one mile per driver per day is worth up to $50 million a year.
The lesson: Small gains multiplied across repeated daily decisions add up fast. Analytics pays off first where the same decision is made thousands of times.

Source: INFORMS analytics success story

Website & digital experienceIndustry example

Vodafone · Telecommunications · 2021

Vodafone made a landing page load its main content 31% faster and sold 8% more.

What they did: Ran an A/B test between two otherwise identical landing pages, one optimized for Core Web Vitals, measuring load speed for real visitors.
Reported results: A 31% improvement in Largest Contentful Paint led to 8% more sales, a 15% better lead-to-visit rate and an 11% better cart-to-visit rate.
The lesson: Speed is a conversion feature. Measure it on real visitors and test changes before rolling them out.

Source: web.dev case study

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