Most AI adoption advice optimises the existing process. Tickets, standups, code review, documentation — these didn't emerge from first principles. They evolved as workarounds for human limitations: forgetting, context loss, blind spots, communication bandwidth. AI doesn't share most of those constraints. Embedding it into workflows designed around human limitations means asking it to operate inside constraints built for a problem it doesn't have. The argument here is that the failure mode isn't tooling or team readiness — it's that the process itself was always the bottleneck.
Most AI adoption advice optimises the existing process. Tickets, standups, code review, documentation — these didn't emerge from first principles. They evolved as workarounds for human limitations: forgetting, context loss, blind spots, communication bandwidth. AI doesn't share most of those constraints. Embedding it into workflows designed around human limitations means asking it to operate inside constraints built for a problem it doesn't have. The argument here is that the failure mode isn't tooling or team readiness — it's that the process itself was always the bottleneck.