How AI + knowledge management works
for 300 companies

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

AXA Switzerland logoA
AXA SwitzerlandClaims processing
Mitsubishi Electric logoM
Mitsubishi ElectricIndustrial operations analytics
Sony Group logoS
Sony GroupKnowledge management
PepsiCo logoP
PepsiCoWorkforce collaboration
Telia Company logoT
Telia CompanyData tagging
AXA Switzerland logoA
AXA SwitzerlandClaims processing
Mitsubishi Electric logoM
Mitsubishi ElectricIndustrial operations analytics
Sony Group logoS
Sony GroupKnowledge management
PepsiCo logoP
PepsiCoWorkforce collaboration
Telia Company logoT
Telia CompanyData tagging
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Showing 9 of 300 case studies
New Zealand Rugby logoN

New Zealand Rugby

Entertainment|Mid-size

Player performance analysis

AgenticL2

Player data scattered across systems; every insight required manual work. Now coaches query 1,000+ data points per match in plain language.

via aws.amazon.com
Published today
Sanofi logoS

Sanofi

Pharmaceuticals & Biotech|Enterprise

Workplace assistant

AgenticL2

Thousands of legacy apps kept workflows scattered across siloed systems. Concierge replaced them—one AI companion every team fully trusts.

92%Verification Time Cut
via aws.amazon.com
Published 4 days ago
Airtree logoA

Airtree

Financial Services|SMB

Meeting preparation

AgenticL3

Eight siloed tools consumed hours of prep before every founder meeting. Now context surfaces in minutes — investors walk in already deep.

2 minsSummary Time Savings
via anthropic.com
Published Jun 11, 2026
Slovenské Elektrárne logoS

Slovenské Elektrárne

Energy & Utilities|Mid-size

Knowledge search

AgenticL3

Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.

2,100+Workdays Saved Annually
via microsoft.com
Published Jun 10, 2026
TBC Bank logoT

TBC Bank

Financial Services|Enterprise

Business analytics

AgenticL2

Data scattered across on-prem servers meant one report could take a month. Now 600 staff query the bank's data directly—answers in seconds.

50%Analyst Team Reduction
via databricks.com
Published Jun 9, 2026
Albatha logoA

Albatha

Consumer Products|Enterprise

Data integration

AgenticL3

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.

~$270KPotential Savings
via sap.com
Published Jun 5, 2026