Tracing specific actions across 300,000 pages was impossible. Gen AI now links vague pledges to evidence, cutting analysis time by 90%.
An ocean conservation nonprofit sought to assess corporate sustainability across 2,500 companies representing over 70 percent of global market capitalization.
Previous analyses identified high-level ambitions but could not verify concrete implementation across 300,000 pages of documentation. The team lacked...
“Our work with McKinsey started with the Business for Ocean Sustainability project. Today this report provides a snap shot of the current status of the impact of industries on the oceans. We are now working with 54 international oceanographers to identify all of the different pressure points within the ocean environment. Some 80 percent of the issues are from land-based activities so, industries have a key role to play.”
Marine conservation foundation for ocean literacy and sustainable blue economy.
Related implementations across industries and use cases
Four experts spent 24 hours analyzing one dataset. AI now extracts insights in 13 minutes to direct veterinary and anti-poaching care.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Manual analysis delayed emergency prep by a month. AI now synthesizes feedback in 30 minutes, helping teams fix readiness gaps faster.
Tracking relied on static docs and voicemail. Centralized logs and AI search now coordinate transplants, increasing capacity 4x.
Staff manually searched websites for 30 minutes per report. AI now scours the web to build interview guides in five minutes.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.