Cuez in IBC Accelerators 2025: AI Assistance Agents for Live Production

Cuez is joining the IBC Accelerator Project 2025: AI Assistance Agents for Live Production

At Cuez, we envision broadcasting of the future as not only increasingly automated but also adaptable. That’s why we joined the IBC Accelerator project, AI Assistance Agents in Live Production. That is to say, we imagine a future where AI agents are not here to replace human work; on the contrary, they are here to help directors manage mundane tasks and make their work more efficient. Augmentation instead of automation.

With Champions like BBC and ITN, and Participants from Amira Labs, Cuepilot, Monks, and Highfield AI, we set out to create a proof-of-concept that integrates large language models (LLMs) and modular automation workflows to create specialised AI Assistance Agents who will speak the director’s language.

Supporting, Not Replacing, the Control Room

The idea behind the project is simple: can intelligent agents take on repetitive or technical tasks, so human teams can focus on what really matters — storytelling and decision-making?

What type of work would those AI Agents do?

The main task AI Agents would take on is human speech interpretation and assistance during production. Such agents don’t just understand everyday human language but also control room-specific jargon.

NRCS-integrated agents can assist in updating, organizing, and requesting information. For example, it can answer questions like “Move this segment to the top”, “What’s the item number for the story about school inspections, and how long is the clip in that item?”.

Automation Agents will be tasked with automating simple commands such as camera switching, audio mixing, and some playout control. That’s where cuez Automator takesthe stage.

Content Agents will be responsible for generating light content, such as lower thirds. In turn, Checking Agents will check the accuracy of content written by operators, flag spelling errors, and cross-check the script.

This is just some of the Agents who will be part of the “orchestrated crew” assigned to help producers and directors deliver accurate and effective broadcasts. But while the promise is exciting, we know that effective implementation depends on workflows, APIs, and most importantly, real human needs.

Cuez’s Role: Designing Smarter Workflows

As a company that already simplifies rundown, script, and automation workflows for live production, we are excited to participate in such a project alongside other forward-thinking partners. We’re not here to build flashy AI gimmicks — we’re focused on building tools that will fit into broadcast workflows, not completely reshape them.

Aaron Nuytemans, our Head of Growth, puts it best:

“We’re exploring how AI can quietly take care of the behind-the-scenes hustle — so that producers, directors, and technical teams can focus more on creativity, and less on chasing buttons or double-checking scripts.”

That means thinking modular, interoperable, and human-first. Our work on this Accelerator involves prototyping how AI agents could interact with live tools through natural language, but also understanding where they should step back and let the humans lead.

Just the Beginning

We’re still early in this journey. This Accelerator Project is just the beginning of a long journey towards a finished product that has a huge market potential. The goal is efficiency in production, scalability, and workflow transformation.

The broadcasting industry is long overdue for a shift — one that moves beyond legacy infrastructures and is adaptable to the current technological advances. AI-powered agents can help automate repetitive tasks that would previously take much time and effort, allowing teams to focus on what matters — content and editorial decisions.

At Cuez, we’re committed to building tech that amplifies human creativity in live production, not replaces it. AI can play a supporting role, but the spotlight belongs to the people making the show.

Learn more about this project here.

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