AT&T
Retail sales guidance
Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
- Targeted 67% reduction in retail sales cycle
- 8 weeks from ideation to pilot-ready
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
Call coaching meant combing recordings one at a time; reps needed three months to ramp. AI now coaches every rep after every call.
AI scattered across five tools, burning millions with no tie to outcomes. One layer replaced them—account plans cut from months to a day.
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.
Managers repeated mistakes no one could see. Now calls are scored; stumbles route them to an AI simulator before their next lead.
Manual scoring across 34 provinces consumed 2,000 hours per cycle—and still reached only 17% of outlets. AI covers 70%+ in days.
Lapsed donors went cold by default — the manual pull took hours the team didn't have. Que surfaces them weekly; one 7-year gap yielded $15K.
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
Call coaching meant combing recordings one at a time; reps needed three months to ramp. AI now coaches every rep after every call.
AI scattered across five tools, burning millions with no tie to outcomes. One layer replaced them—account plans cut from months to a day.
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.
Managers repeated mistakes no one could see. Now calls are scored; stumbles route them to an AI simulator before their next lead.
Manual scoring across 34 provinces consumed 2,000 hours per cycle—and still reached only 17% of outlets. AI covers 70%+ in days.
Lapsed donors went cold by default — the manual pull took hours the team didn't have. Que surfaces them weekly; one 7-year gap yielded $15K.