TLDR: At the upcoming IBC2025 show in Amsterdam, Witbe will introduce ‘Agentic AI,’ a new solution for automating video service quality assurance. This technology represents a strategic shift from reactive generative AI to proactive, autonomous systems that manage complex, goal-oriented processes. The launch signals a change for audio and video professionals, moving their roles from hands-on fault-finding to managing the AI systems that ensure quality.
At the upcoming IBC2025 show in Amsterdam, Witbe is set to unveil a new ‘Agentic AI’ solution designed to automate quality assurance for video service providers. While on the surface this seems like a tactical tool for broadcasters, it represents a profound strategic shift for all audio and video production professionals. This isn’t just another AI tool that generates content; it’s a system designed to autonomously manage complex, goal-oriented processes. The launch is the clearest signal yet that intelligent automation is graduating from executing simple commands to taking over entire roles, compelling every filmmaker, editor, sound designer, and developer to re-evaluate their approach to quality assurance—transitioning from a ‘hands-on’ role to that of a ‘systems manager’.
What is ‘Agentic AI’ and Why Is It Different From the Generative AI You Know?
The term ‘AI’ has become synonymous with Generative AI tools that create text, images, code, or audio from a prompt. Agentic AI, however, operates on a different level. Think of it as the difference between a content creator and a project manager. Generative AI is reactive; it excels at producing specific content when prompted. Agentic AI is proactive and autonomous; you give it a complex goal, and it independently plans and executes a series of tasks across multiple systems to achieve it. It’s designed not just to create, but to make decisions and take action without constant human supervision. For instance, while you might ask Generative AI to ‘create a seamless video transition,’ you would task an Agentic AI with ‘ensuring this entire 4K film stream delivers a flawless visual and audio experience on every major platform, identifying and flagging any issues from source to screen.’ This is precisely what Witbe aims to do for video delivery.
Beyond the NOC: How Agentic QA Will Ripple into Production Workflows
While Witbe’s immediate focus is on broadcast and streaming delivery—partnering with companies like TAG Video Systems for complete source-to-screen monitoring—the underlying agentic philosophy has direct implications for creative workflows. Today’s quality control (QC) in production is often a manual, time-consuming process that happens at the end of a long creative cycle. An agentic approach embeds intelligent, autonomous QC directly into the production process itself.
For Filmmakers & Video Editors: Imagine an AI agent integrated into your editing software. Its goal isn’t just to render a file, but to perpetually ensure quality. It could autonomously scan timelines for continuity errors, jarring cuts, out-of-sync audio, or color inconsistencies between clips shot days apart. It could manage complex version control, flagging when a team member is working on an outdated sequence, thus preventing hours of lost work.
For Sound Designers & Music Composers: The challenges of maintaining audio quality across a film, a podcast series, or a video game with thousands of assets are immense. An agentic system could be tasked with maintaining perfect audio balance, ensuring all dialogue meets broadcast loudness standards, detecting unwanted background hum in archival footage, and ensuring the final mix sounds correct on everything from a high-end theatrical system to mobile earbuds. This goes beyond a simple plugin; it’s a persistent, goal-driven quality supervisor.
For Game Developers & Designers: Game development is a prime environment for agentic QA. Instead of relying solely on human testers, an AI agent could be tasked with playing through new builds to achieve specific objectives, not just to find crashes, but to identify and report on subjective experience flaws like stuttering asset loads, inconsistent physics, or audio cues that fail to fire under specific conditions.
The Strategic Shift: From ‘Finding Faults’ to ‘Managing Quality Systems’
The introduction of Agentic AI forces a fundamental change in the role of the production professional. The job is no longer about the laborious, hands-on task of finding every individual flaw. Instead, it becomes about defining the very parameters of quality and managing the intelligent system that enforces them. Your value shifts from manual execution to strategic direction.
Your expertise will be used to ‘teach’ the agent what ‘good’ means. This involves setting the acceptable tolerances for color variance, defining the rules of narrative continuity, and establishing the standards for audio immersion. The professional transitions from being the person who checks the work to the architect of the system that guarantees quality. This doesn’t make creative oversight obsolete; it makes it more powerful by scaling it across the entire project with perfect consistency.
The Future is Assured
Witbe’s launch of an Agentic AI for QA is more than just another industry announcement; it’s a preview of a new paradigm. The focus of AI in media is expanding from content creation to content perfection. For filmmakers, producers, and designers, the immediate challenge is to begin thinking about your quality control processes not as a final checklist, but as a dynamic system. The professionals who thrive will be those who embrace this shift, learning to manage these intelligent agents to deliver flawless creative work at a scale and consistency previously unimaginable.
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