Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
A global market infrastructure leader provides a corporate governance platform trusted by more than 4,500 organizations, including nearly half of the Fortune 100, to manage highly sensitive board deliberations and merger strategies.
Board books regularly ran to hundreds of pages, causing severe information overload and making meeting preparation a heavy lift for directors. The...
“It’s no longer just about doing tasks faster. It’s about surfacing the right information at the right time so directors can focus on strategy, not administration.”
Nasdaq's Document summarization is part of this use case:
Global exchange operator and technology provider for capital markets and trading.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Associates spent hours combing messy evidence. Now, AI securely extracts facts and builds timelines, freeing lawyers for case strategy.
Finance teams spent days combing unstructured data for reports. Now, AI agents generate them in minutes, freeing analysts for strategy.
Scattered data and legacy Java bottlenecked engineers and analysts. AI agents automated code migration and generated verified summaries.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Heavy manual workloads delayed key documentation. AI now extracts insights and summarizes records, freeing teams to focus on members.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
A global market infrastructure leader provides a corporate governance platform trusted by more than 4,500 organizations, including nearly half of the Fortune 100, to manage highly sensitive board deliberations and merger strategies.
Board books regularly ran to hundreds of pages, causing severe information overload and making meeting preparation a heavy lift for directors. The...
“It’s no longer just about doing tasks faster. It’s about surfacing the right information at the right time so directors can focus on strategy, not administration.”
Nasdaq's Document summarization is part of this use case:
Global exchange operator and technology provider for capital markets and trading.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Associates spent hours combing messy evidence. Now, AI securely extracts facts and builds timelines, freeing lawyers for case strategy.
Finance teams spent days combing unstructured data for reports. Now, AI agents generate them in minutes, freeing analysts for strategy.
Scattered data and legacy Java bottlenecked engineers and analysts. AI agents automated code migration and generated verified summaries.
Employees faced email avalanches and 2-hour storyboard drafts. AI summarizes backlogs and cuts drafting to 30 minutes.
Heavy manual workloads delayed key documentation. AI now extracts insights and summarizes records, freeing teams to focus on members.
Agents typed furiously while customers waited on hold. AI now summarizes calls, saving the team 250,000 hours annually.
Minor compliance updates once forced full video reshoots. Now, course creators generate and edit AI avatar videos directly from text.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.