Context Windows brings together case studies on what companies are doing with AI, from across the web. We compare their results so you can prioritise the use cases that are actually working.
Get a free personalized overview of what's working with AI in your industry and your role.
Real-world implementations from
A 30-year-old RPG codebase, no map of what was inside. Bob read every line, surfaced hidden risks, and handed back a modernization roadmap.
Metric definitions had splintered; six analysts handled all requests. A Claude agent now routes 30+ users to consistent, SQL-backed answers.
Lost parts sales sent teams manually piecing together the root cause from scattered data. Five subagents now surface the full picture.
Data lived in paper registers; monthly snapshots meant crises surfaced too late. Staff now run offline dashboards, no engineers or internet.
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Context Windows brings together case studies on what companies are doing with AI, from across the web. We compare their results so you can prioritise the use cases that are actually working.
Get a free personalized overview of what's working with AI in your industry and your role.
Real-world implementations from
A 30-year-old RPG codebase, no map of what was inside. Bob read every line, surfaced hidden risks, and handed back a modernization roadmap.
Metric definitions had splintered; six analysts handled all requests. A Claude agent now routes 30+ users to consistent, SQL-backed answers.
Lost parts sales sent teams manually piecing together the root cause from scattered data. Five subagents now surface the full picture.
Data lived in paper registers; monthly snapshots meant crises surfaced too late. Staff now run offline dashboards, no engineers or internet.
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.