Larridin
An analytics tool for measuring enterprise AI adoption, workflow optimization, and return on investment
About Larridin
Larridin helps organizations understand the real impact of AI across teams, tools, and business workflows: it measures adoption depth and proficiency by team and role, identifying processes where AI is already running, stalled, or ready for automation; connects GitHub, Jira, and the development stack to analyze the delivery speed, quality, and return on investment of AI-augmented engineers per AI seat; and tracks licenses, model calls, and token usage to identify unused seats, model spending, and recoverable budget.
Best for
Best use cases
Evaluate the return on AI investment
Measure team AI adoption and proficiency
Optimize business workflow automation opportunities
Review license and model spending
Features
AI Adoption Measurement
Measures adoption depth and proficiency by team and role to identify actual working capabilities.
Workflow Optimization
Continuously maps business workflows to identify where AI is running, stalled, or ready for further automation.
Developer Intelligence
Connects GitHub, Jira, and the development stack to measure the speed, quality, and return on investment of AI-augmented engineers.
Spend Intelligence
Tracks licenses, model calls, and token usage to identify unused seats, model overspend, and recoverable budget.
Pros
- Covers teams, tools, and business workflows
- Connects GitHub, Jira, and the development stack
- Tracks licenses, model calls, and token usage