United StatesTechnology and telecom2026 – ongoingSlack
Claude-based search, summaries and recaps inside Slack
Slack's average user saved 97 minutes a week with Claude-based summaries and recaps
Problem
Slack users face large volumes of messages, threads and files each day. Finding what matters in them takes time.
Approach
Slack, a Salesforce company, built AI features on Claude models. They include search across conversations and files, channel and thread summaries, and recaps of priority messages and unread mentions. The features respect content and channel permissions. Slack's engineering teams worked with Anthropic on prototyping and model testing.
Results
Takeaway
Slack reported time saved per user for its summary and recap features. The company did not say how it measured the 97 minutes.
Categories
- Size
- Large enterprise
- Industry
- Technology and telecom
- Business function
- Internal work and knowledge management
- Innovation type
- Product and service innovation
- AI technology
- Generative AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Anthropic's customer story describes how Slack built search, summary and recap features on Claude models. It gives one result figure, 97 minutes saved per week by the average user. The page carries no date; the Internet Archive first saved it on April 16, 2026.
Full details are in the original sources.