How do we combine work produced at the same time without losing consistency?
Parallel AI work saves waiting time and creates more places for assumptions to drift. Give every task the same current brief, assign one person to reconcile the outputs, and send any change to a central decision to every task it touches.
Before you combine the outputs, compare the decisions behind them. Give each task the same current brief and say which facts it can rely on. Mark the questions that are still open, and keep a hypothesis from turning into an instruction just because it sits in a shared document.
The person reconciling should check that audience, scope, source version and approval status match across the pieces. A polished combined result can still carry incompatible assumptions.
When a central decision changes, tell every affected task and record which work has to be revised. Updating the original brief doesn't change work that's already underway.
Then judge the assembled result against the assignment, and look at the individual parts too. Skip that and the time you saved on waiting can come back as a bigger reconciliation job at the end.
What to try this week
Before the next parallel project starts, put the shared brief on one page and send that same page to everyone working on it.