Tag: Workflows

Behind a smooth arrival, someone orders the towels. Keep each purchase connected from request to invoice, design for imperfect deliveries and bound the AI.

Sixty percent of what? Long-running AI work should show what is done and checked, ask for help in a way people can answer and resume from the current facts.

Long-running AI work needs a record outside the chat. Use fixed workflows where you can, check what is true before resuming and define done in advance.

Simple automations grow into tangled diagrams. Follow one case through the failures: where is it waiting, can a person recover it, can the rules change safely?

Pausing a meal subscription should check the next delivery, show the cutoff where the decision happens and connect to work already in production.

“Processing” can’t cover inspection, offers, disputes and payouts. Model transitions as decisions, give exceptions a route and keep the customer view simple.

Many workflows need clear rules plus one interpretation step, not an autonomous agent. Map the task, then compare designs on the same awkward cases.

Buyback businesses run checkout in reverse: the package arrives, gets valued, an offer goes out and a payout follows. Model each step as an explicit state.

When one function handles approvals, suppliers and timeouts, explicit workflow states, recorded steps and planned recovery make the process supportable.