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
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,300+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,300+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
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
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,300+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,300+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
AI agents that autonomously handle customer requests — processing refunds, modifying accounts, making bookings, and resolving issues without human intervention.
Foundation models that read sensor streams alongside maintenance logs, manuals, and technician notes to predict equipment failures.
Forecasting demand, credit risk, churn, and sales pipelines — foundation models extending traditional forecasting with reasoning over unstructured signals like emails, calls, and reports.
LLMs that analyze customer calls, chats, and meetings — generating coaching summaries, deal insights, quality scores, and sentiment trends.
AI-assisted creation of written, visual, and multimedia content across marketing, communications, and publishing workflows.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Fragmented systems scattered updates across 800 franchises. On a unified platform, staff use Copilot to summarize missed discussions.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Scattered monitoring across 125+ AI models slowed debugging. Unified telemetry lets teams trace issues from user sessions down to the GPU.
Typing notes during consults pulled focus from patients. Now, ambient AI drafts clinical summaries so neurologists stay fully present.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
AI agents that autonomously handle customer requests — processing refunds, modifying accounts, making bookings, and resolving issues without human intervention.
Foundation models that read sensor streams alongside maintenance logs, manuals, and technician notes to predict equipment failures.
Forecasting demand, credit risk, churn, and sales pipelines — foundation models extending traditional forecasting with reasoning over unstructured signals like emails, calls, and reports.
LLMs that analyze customer calls, chats, and meetings — generating coaching summaries, deal insights, quality scores, and sentiment trends.
AI-assisted creation of written, visual, and multimedia content across marketing, communications, and publishing workflows.
150+ siloed AI projects fragmented the campus. Standardizing on Copilot empowered students and staff to securely automate daily workflows.
Fragmented systems scattered updates across 800 franchises. On a unified platform, staff use Copilot to summarize missed discussions.
Intimidating spreadsheets caused rushed evaluations. Now, a guided Claude app pulls Jira tickets to help engineers write concrete reviews.
Scattered monitoring across 125+ AI models slowed debugging. Unified telemetry lets teams trace issues from user sessions down to the GPU.
Typing notes during consults pulled focus from patients. Now, ambient AI drafts clinical summaries so neurologists stay fully present.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.