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 2,400+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,400+ 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 2,400+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,400+ 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%
Tecban rolled out Microsoft 365 + GitHub Copilot to 3,000+ users across 98 use cases, achieving up to 30% productivity gains with governance intact.
DIRECTV adopted Databricks Genie so anyone can query its 1,200-attribute customer dataset in plain language, getting instant answers instead of waiting days or weeks.
PhysicsWallah added ElevenLabs voice to its AI tutor — which resolves 90%+ of doubts — serving the 52% of students who prefer audio-first learning in Hinglish.
Rippling built a production multi-agent AI layer on LangChain Deep Agents in ~6 months, serving millions of users across HR, IT, payroll and finance.
GoFundMe replaced its blank fundraiser form with a Sierra conversational agent, helping organizers raise 5% more (≈$125M) while 65-75% felt less stressed.
Promenade's reps use Revenue AI to generate standardized deal handoff notes in under a minute instead of 10+, saving up to 6 hours a month for selling.
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
Foundation models that read sensor streams alongside maintenance logs, manuals, and technician notes to predict equipment failures.
AI agents that autonomously handle customer requests — processing refunds, modifying accounts, making bookings, and resolving issues without human intervention.
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.
Tecban rolled out Microsoft 365 + GitHub Copilot to 3,000+ users across 98 use cases, achieving up to 30% productivity gains with governance intact.
DIRECTV adopted Databricks Genie so anyone can query its 1,200-attribute customer dataset in plain language, getting instant answers instead of waiting days or weeks.
PhysicsWallah added ElevenLabs voice to its AI tutor — which resolves 90%+ of doubts — serving the 52% of students who prefer audio-first learning in Hinglish.
Rippling built a production multi-agent AI layer on LangChain Deep Agents in ~6 months, serving millions of users across HR, IT, payroll and finance.
GoFundMe replaced its blank fundraiser form with a Sierra conversational agent, helping organizers raise 5% more (≈$125M) while 65-75% felt less stressed.
Promenade's reps use Revenue AI to generate standardized deal handoff notes in under a minute instead of 10+, saving up to 6 hours a month for selling.
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
Foundation models that read sensor streams alongside maintenance logs, manuals, and technician notes to predict equipment failures.
AI agents that autonomously handle customer requests — processing refunds, modifying accounts, making bookings, and resolving issues without human intervention.
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.