How AI-native companies turn workflows into operating capability
Basis, Clay, and Exa Labs use agents for onboarding, account management, and developer integrations. Their examples show what enterprise leaders can borrow.
TL;DR
- Frontier AI firms generate significantly more output tokens per user than typical firms, indicating a shift towards AI execution.
- Leading firms connect AI agents to company context and tools, delegate substantive work, and make workflows repeatable.
- Basis uses agents to reduce employee onboarding time from two hours to 30 minutes by creating reusable onboarding skills.
- Clay employs agents to manage scattered deal context across various platforms, providing a persistent workspace and daily priority lists for sales teams.
- Exa Labs uses agents to monitor for integration opportunities, gather context, create pull requests, run tests, and prepare updates for their 'Exa everywhere' goal.
- Key steps for enterprises to implement AI workflows include choosing a consequential value surface, defining measurable outcomes, writing agent job descriptions, building a human system around the agent, making experimentation visible, and carrying operating patterns forward.