Progress is saved as the run goes, so a job that's interrupted picks up where it left off instead of starting over. Because the coordination happens outside the conversation, the plan stays on track no matter how big the task gets.

Work you'd normally plan in quarters now finishes in days. Claude dynamically writes orchestration scripts that run tens to hundreds of parallel subagents in a single session, checking its work before anything reaches you.

The workflow you ship on day one is not the moat. The loop that production usage creates over time is.

For Ramp, Claude Opus 4.7 stands out in agent-team workflows. We're seeing stronger role fidelity, instruction-following, coordination, and complex reasoning, especially on engineering tasks that span tools, codebases, and debugging context.

95% of organizations are getting zero return on AI deployed, with most failures found due to 'brittle workflows.'