31
Exit Interview Intelligence Agent
Human resourcesIn build- The problem
- Exit interviews are collected inconsistently and documented manually. Data quality is poor, participation is low, and by the time a trend is visible the people who could have told you about it have gone.
- What it does
- Standardises and automates exit data collection, then analyses trends in real time.
- What changes
- Participation rises, collection becomes uniform, and attrition patterns surface while they can still be acted on.
32
Executive Recruitment Intelligence Agent
Talent intelligenceIn build- The problem
- Executive hiring spreads across email, documents and conversations with many stakeholders. Recruiters reconstruct candidate status and decision context by hand, and senior candidates are lost to delay.
- What it does
- Centralises recruitment intelligence into one queryable view covering candidate status, interview progress and decision context.
- What changes
- Manual status tracking disappears, stakeholder back-and-forth shrinks, and decisions get made with the full picture in view.
33
Innovation Evaluation Agent
StrategyIn build- The problem
- Innovation teams research and assess submitted ideas across market opportunity, scalability, ecosystem fit and competitive landscape. It is slow, and it limits how many ideas get a fair hearing.
- What it does
- Automates the research and applies standardised scoring to internal submissions, with the reasoning visible behind each score.
- What changes
- Evaluation cycles speed up, scoring becomes comparable across submissions, and the innovation pipeline becomes visible to the people funding it.
