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Cascade Assignments Keeps Your Global Projects Moving Automatically

Cascade Assignments Keeps Your Global Projects Moving Automatically

Work shouldn’t stall just because the right supplier didn’t see the invite in time. With Cascade Assignments, Smartcat now gives enterprise teams a hands-off way to keep work moving, protect deadlines, and apply supplier priorities exactly the way they’re meant to run.

Cascade Assignments expands Assignment Templates by adding automated priority groups, timed acceptance windows, and structured fallback logic. This turns your templates from a static setup into an automated system that keeps work moving.

Keep Your Projects Moving by Automating Assignments

Cascade Assignments brings structure and automation to one of the most operationally painful steps in localization workflows:

  • Priority Groups that match your real supplier strategy
    Your internal teams, trusted freelancers, and vendor pools get automatic invites in the exact order you want.

  • Custom delay windows that protect your timelines
    Give preferred groups time to accept while still guaranteeing on-time fallback for urgent or after-hours work.

  • Automatic fallback that keeps work moving
    Smartcat expands invitations when a group doesn’t respond. No more checking, waiting, or manual chasing.

  • AI Assignment as a safety net
    For tasks that can’t wait, AI picks up the work if all groups decline or time out.

How to Keep Every Project Moving on Time

Getting value from Cascade Assignments is simple:

  1. Set your priority groups
    Add internal teams, preferred freelancers, or Marketplace suppliers in the order you want them invited.

  2. Define your acceptance windows
    Choose how long each group gets before Smartcat moves to the next.

  3. Turn on automatic fallback
    Smartcat expands invitations without manual follow-up—day, night, or across regions.

(Optional) Add AI Assignment as your final step
Guarantee nothing stalls, even when no human accepts.

Protect deadlines with automated, predictable assignments

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