The most grounded AI conversations at OTT Question Time 2026 weren’t about creativity. They were about operational drag.

Where AI is delivering real value today:

• Faster localisation across languages and regions
• Managing complex and overlapping rights windows
• Improving forecasting, scheduling, and planning accuracy
• Unlocking value from deep and underused archives

In markets like MENA and APAC, this matters even more. Scale, language diversity, and rights complexity make manual processes expensive very quickly. Some case studies referenced 50–60% reductions in specific operational workloads simply by removing repetitive tasks.

The pattern is consistent.

AI works best when it:

• Removes manual, repetitive effort
• Gives teams a better starting point
• Frees people to focus on editorial judgement, strategy, and experience

What it doesn’t do well is replace human decision-making.

The teams getting this right aren’t chasing AI narratives. They’re applying it quietly, deliberately, and in service of speed, accuracy, and sustainability.

And this is where infrastructure matters.

AI only delivers operational value when workflows, metadata structures, and rights management are already coherent. Without that foundation, automation amplifies chaos.

At DIAGNAL, this is exactly where the focus sits – building operational clarity into CMS and app workflows first, so intelligent automation becomes practical, measurable, and sustainable.