OpenAI's latest Enterprise Signals report highlights a growing divide in AI adoption among companies. Frontier firms now generate 8.3× more output tokens per active user than typical firms, up from 2.6× in January.
The widening gap reflects a deeper shift in how leading companies use AI agents to connect with company context and tools, delegate more substantive work, and make workflows easier to repeat.
Basis, Clay, and Exa Labs have built agents into employee onboarding, account management, and developer integrations. Their workflows show how teams can improve processes over time.
Basis reduced onboarding time from two hours to 30 minutes by using agents to automate setup and provide immediate access to Codex, a company-specific onboarding skill.
Clay’s GTM engineers created persistent workspaces and dedicated subagents for each account, cutting inbox triage time by an hour each night.
Exa Labs turned its integration process into a defined workflow for Codex, with clear priorities, access to sources, and human review before shipping any changes.
These examples show how AI-native workflows can be made repeatable, measurable, and scalable. Enterprises can learn from these patterns to build trust and improve execution.
Source: openai
