Built for the people managing the queue: what changed in XTM Cloud 26.3
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See how global teams manage localisation faster and with less manual work.
A traditional TMS was built for a world where localization happened in isolated projects. You set up a job, moved files around, managed a static workflow, reviewed the output, and delivered it.
That model made complete sense when content arrived in predictable batches. But today, content never stops.
Teams are creating more material than ever, adapting it instantly, and pushing it across endless channels, formats, and markets.
For localization leaders, this means a constant stream of operational noise: more decisions to make, more micro-tasks to manage, and far less time to focus on strategic work that actually requires human expertise.
So, how do we keep up when the volume of content vastly outpaces our capacity to manage it manually?
The answer comes down to intelligence.
Moving from manual management to intelligent decision-making
Enterprise localization teams face two compounding pressures: soaring content volume and rising complexity.
AI makes creating and adapting content easier than ever, but not every asset carries the same level of business risk. A legal contract, a high-stakes campaign, and an internal product description all require localization, but the cost of an error in each case is drastically different.
The core challenge for teams today isn't just getting translations done. It's deciding where to focus limited time and attention.
That is why we are building an intelligence layer into our technology. Intelligence means a platform that understands what a piece of content is, grasps its context, evaluates risk, checks complexity automatically, and route-navigates the next steps. It allows teams to confidently delegate routine automation while reserving human judgment for where it creates the most value.
Introducing XTM IQ and XTM Cloud 26.3
Instead of just plugging an AI translation engine into a legacy workflow, XTM IQ integrates AI, quality signals, context, and governance directly into the core platform layer.
With XTM Cloud 26.3, we are putting this vision directly into your everyday workspace to give you time, control, and clarity back:
- Less administrative friction: Project managers can execute actions across jobs, batches, and languages in fewer clicks. LSPs can now accept or reject projects directly inside the Workflow Editor, eliminating back-and-forth management.
- Clearer quality signals: Translation Quality Index (TQI) now evaluates translations consistently, regardless of how they were generated, so you know instantly where human review is actually needed. Plus, clear AI usage and consumption tracking keep costs predictable.
- Seamless system handoffs: Deeper REST API project configurations and automated Style Guide syncing mean less time moving data between tools, letting localization run quietly in the background of your broader content operations.
- Broader global reach: Expanded support for 14 additional sign languages ensures your global content strategy reaches more audiences in truly accessible ways.
Technology should give people their time back
The real value of XTM Cloud 26.3 is about fundamentally changing how your team operates.
We can't solve the content explosion by asking people to work faster or review more segments. Technology must step up to handle the operational background noise.
By removing repetitive tasks and low-risk decisions, XTM IQ doesn't replace human expertise, it elevates it. It lets your team focus on high-impact judgment, cultural nuances, and strategic risk management.
XTM Cloud 26.3 is our next step toward making that future your everyday reality.
Andreas is Head of Product at XTM International, bringing over a decade of expertise in TMS consultancy, language technology, and software training. A professional translator by background, he has held a range of industry roles including Global Solutions Architect and Product & Solution Manager. He is a regular speaker at industry events, where he shares insights on AI-driven localization, smart workflow automation, and the future of language technology.
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