Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
Scoring display photos took a reviewer ~1 min each; as stores multiplied, delays stacked up. AI now returns scores moments after upload.
Hours searching SharePoint, days waiting for QA, reports rewritten when templates changed. Now two agents answer instantly from live docs.
Manually pulling flight risk data took half a day — so it never got done. Three words later, Rippling built a scoring rubric from scratch.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.
Manual scheduling prevented recruiters from advising talent. Now, a conversational AI manages calendar holds and reschedules via text.
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
Real-world implementations from
Scoring display photos took a reviewer ~1 min each; as stores multiplied, delays stacked up. AI now returns scores moments after upload.
Hours searching SharePoint, days waiting for QA, reports rewritten when templates changed. Now two agents answer instantly from live docs.
Manually pulling flight risk data took half a day — so it never got done. Three words later, Rippling built a scoring rubric from scratch.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
1,000 extractors, each needing 5–10 manual steps to configure—AI agents now write the ETL scripts. Full scope done in 4 weeks, not 19.
Manual scheduling prevented recruiters from advising talent. Now, a conversational AI manages calendar holds and reschedules via text.