Why decentralized translation slows teams down

When each team or market handles translation in their own way, everything becomes hard to track: spending, deadlines, quality, handoffs, and even accountability.

You spend more time managing workflows than producing results when:

• Everyone uses different tools, vendors, and workflows
• There’s no shared approved terms → repeated corrections
• You don't have visibility into who is working on what
• You translate the same content multiple times
• AI tools produce inconsistent results or don't have quality checks
• Managers can notice problems only when deadlines are at risk

It’s not disorganization, it’s scattered processes creating delays, extra work, and errors.