Deep: How are products using AI summarization?
Practical use cases and examples from LinkedIn, Docusign, Vanta, Stripe and more
🔒DoP Deep dives are in-depth pieces of analysis where we explore what top tier tech companies are building so that you can stay up to date with and learn lessons from the world’s leading products.
If you’d like to upgrade to receive them you can do so below. Or you can find out more about what you get as a paid subscriber here.
Hi product people 👋,
One of the most powerful abilities of LLMs is their ability to summarize information. And in some ways, it’s one of the most polarizing.
When LinkedIn launched its “Takeaways” feature which summarizes post content, one user branded it a “terrible use of generative AI”. Slack’s recent rollout of conversation summaries also proved controversial as users questioned whether they were able to really rely on a summary to get up to speed with important business updates.
Meanwhile, Bing has rolled out a new AI summarization version of search and at the same time, new analysis shows that Google has quietly reduced the frequency with which its AI summarization is shown to users. With Perplexity and OpenAI now entering the race to create the summarized version of the web, the future of search does look set to be transformed.
But what use cases exist beyond some of the more conventional approaches?
In this deep dive we’ll take a look at how top tech companies are using AI summarization across a variety of different use cases including things like customer support, ecommerce, fraud detection and more.
If you’re considering adding AI summarization features to your own product this might be a helpful resource to use as inspiration.
Coming up:
How this analysis is structured
A deeper look at how companies including Vanta, Docusign, Hubspot, Stripe, Miro and more are using AI summarization to power new product features
How AI summarization works - a simple technical explanation
How to assess AI summarization feature opportunities for your product - a practical framework for building AI summarization features
The 20+ companies featured in full
How this analysis is structured
This in-depth deep dive looks at how each company we’ve featured is using AI summarization in their product.
The analysis explores AI summarization across the following dimensions:
Product - to help get a wide perspective on the topic, we look at products spanning various industries including SaaS, social media, ecommerce, mobile and others.
Feature - the name of the feature used by the company which leverages AI summarization.
Use case category - to help contextualize how AI summarization is used, for each product’s use cases, we’ve categorized the use case into distinct categories.
How it works - a detailed explanation of how the AI summarization feature works for this specific product. For some companies we’ve included multiple different features with their own individual explanations.
Links to the feature - links to find out more information about the feature and how it works in the context of the product.
Summarization categories explained
To help give you the best overview possible, we’ve included a variety of different AI summarization use cases which are broken down further into the following categories. Here’s some of the categories featured in this deep dive:
Workplace productivity
Ecommerce
Social media
Search
News aggregation
Document review
Security
Personal productivity
Customer support
You can get access to the full list of 20+ companies and AI summarization features in full at the end of this post.
Company deep dives
Vanta
Use cases: document review, workplace productivity, security