The short answer: live production teams get better results by coordinating the tools they already own than by buying more of them. A unified hybrid orchestration layer connects ingest, production, and distribution into one predictable workflow, and AI automation should be added to that workflow in stages. This guide covers the business case, the data behind the AI caution, and the practical steps, drawing on a March 2026 TVBEurope commentary.
What a Unified Orchestration Layer Is
A hybrid orchestration layer is a coordination layer that spans on-premises and cloud production systems. It controls how video feeds are received, produced, and delivered, so the same steps run in the same order each time.
The TVBEurope commentary describes the move from siloed infrastructure to this model as the main change in live production. It ties the change to three trends:
- Digital-first operations, where content is planned for digital platforms from the start.
- AI and workflow automation, where software handles repeatable steps.
- IP-based live production, where video moves over standard networks instead of dedicated links.
Three business principles follow from the commentary:
- Choice. An open suite that works within existing ecosystems gives more protocol and partner options.
- Fit. Technology and teams should match the use case rather than follow one standard model.
- Layering. AI-driven, hybrid human-AI, and cloud-native production models can run together to support tier-one, tier-two, and tier-three content.
Where Siloed Workflows Create Cost
Siloed production rarely appears as a single expense. It appears as small, repeated costs spread across a production calendar:
- Manual handoffs. Staff move feeds, files, and information between systems that do not share context.
- Duplicated effort. Each destination gets its own production steps even when the content is the same.
- Waiting time. Work stops while one team hands a task to the next.
- Inconsistent results. Each team runs the steps slightly differently, so quality varies by event.
A coordinated layer targets all four. It does not remove the need for skilled people. It reduces the time those people spend on transfers and rework, which matters most for teams with limited staff.
For more on running several live outputs with a small team, see How My Three-Person Crew Started Shipping to Five Platforms Without Losing Our Minds.
How AI Fits In: Three Stages
The commentary describes AI in media workflows as moving through three stages. Each stage carries a different level of oversight.
| Stage | What it does | What leadership should check |
|---|---|---|
| Rules-based | Follows fixed instructions set by people | That the rules still match current operations |
| Generative | Creates new content such as text or graphics | Quality review before anything airs |
| Agentic | Uses multiple software agents that collaborate on tasks | That the workflow is fully understood before agents are added |
The commentary is explicit about the third stage: agentic AI needs a clear understanding of the workflow, or it disrupts operations. Its stated goal for automation is scale without sacrificing control or quality.
What the Gartner Data Says
Gartner’s June 2025 forecasts show why a staged approach makes sense. The figures below come from its press release on agentic AI.
| Measure | 2024 baseline | Gartner forecast |
|---|---|---|
| Agentic AI projects canceled | Not applicable | Over 40% by end of 2027 |
| Day-to-day work decisions made autonomously | 0% | At least 15% by 2028 |
| Enterprise software applications including agentic AI | Less than 1% | 33% by 2028 |
Gartner attributes the expected cancellations to escalating costs, unclear business value, or inadequate risk controls. Read together, the rows show fast adoption alongside a high failure rate. The practical response is to document the workflow, automate well-understood steps first, and set cost, quality, and risk measures before expanding.
Why Audience Change Raises the Stakes
The commentary reports that 82 percent of attendees at DPP 2026 agreed that the 2025 prediction of power shifting to the creator economy proved accurate. Major broadcasters are acting on that shift. Marketing Week reported that the BBC agreed a partnership with YouTube to produce original content for the platform.
The result is that one team often serves linear channels and digital platforms at the same time. Separate workflows for each channel multiply the effort.
Story-Centric Workflows
Story-centric workflows are an industry-wide approach. The team organizes around the story instead of the platform and plans from start to air across linear and digital outputs. Platform-specific versions are produced from one workflow.
The business effect is that the cost of each additional version of a piece of content should fall, because the versions share planning, editorial context, and production steps. It also keeps editorial context attached to the story as it moves between tools, which reduces rework when output is adapted for a new platform.
ITV provides a recent example. According to a LiveU press release, ITV streamed its Love Island: The Morning After podcast live on ITVX and YouTube for the first time, with a cloud production service coordinating the workflow between Majorca and London.
Do you know Keeping a Lean Crew Live Across Multiple Platforms at Once? Watch how a lean team keeps several live outputs running.
A Practical Adoption Path
The commentary and the Gartner data point to the same order of operations. A workable plan for an executive team looks like this:
- Map the current workflow. List every system, handoff, and owner for a typical live event.
- Segment content by tier. Decide which events need full crews, which suit a hybrid model, and which can run on cloud-native production.
- Choose open components. Favor tools that work within your existing ecosystem and support the protocols your partners use.
- Automate selectively. Start with repeatable steps, and give each automation a named owner and a measure.
- Review quarterly. Compare cost per output, time to air, and error rates against the starting point.
Buyers should also ask any vendor how its tools connect to systems already in place, since coordination is the point of the exercise.
LiveU in the Orchestration Picture
LiveU is a live video technology company. The TVBEurope commentary was written by its VP of Product Marketing and SaaS Sales, Roy Hasson, so it represents the company’s perspective. The descriptions below are LiveU’s own.
- LiveU Nexus. A cloud-native gateway that ingests, converts, and routes IP video feeds without additional hardware. LiveU says it accepts Zoom calls, YouTube streams, and other web sources through a URL or meeting link, and routes them into other LiveU products.
- LiveU Studio. A browser-based cloud production service. LiveU states that one operator can produce a multi-camera event and distribute it to up to 30 linear and digital platforms.
- ITV deployment. In the press release above, Leon Langdale, Technical Producer at ITV Studios, said LiveU Studio has given ITV a flexible entry point into cloud-based production. The release also says Studio managed concurrent streams to TikTok, Instagram, and YouTube for the series finale teaser show.
- Standards work. On September 3, 2026, LiveU announced it had joined the Smart Stories consortium, an IBC Accelerators effort to define an open standard for sharing story context between production tools.
Bottom Line
Coordination across tools is the next source of efficiency in live production. Match production models to content tiers, document workflows before automating them, and plan around stories so one workflow serves every platform. Vendor claims, including LiveU’s, should be validated against your own event requirements before purchase.
FAQ
Q: What is a unified hybrid orchestration layer?
A: It is a layer that coordinates on-premises and cloud production tools into one workflow, reducing manual handoffs and making results repeatable.
Q: How should a company approach agentic AI in live production?
A: Document the workflow first, automate the repetitive and well-understood steps, and set measures for cost, quality, and risk. Gartner expects over 40 percent of agentic AI projects to be canceled by the end of 2027.
Q: What does a multi-layered production model include?
A: AI-driven, hybrid human-AI, and cloud-native approaches, used together to support tier-one, tier-two, and tier-three content.
Q: What does LiveU Nexus do?
A: LiveU describes it as a cloud-native gateway that ingests, converts, and routes IP video feeds, including Zoom calls and YouTube streams, without additional hardware.
Q: How many platforms can LiveU Studio distribute to?
A: LiveU states that one operator can distribute a multi-camera production from a browser to up to 30 linear and digital platforms.
Q: Which broadcaster has used LiveU Studio for digital-first output?
A: According to LiveU, ITV used it to stream Love Island: The Morning After live on ITVX and YouTube, coordinating production between Majorca and London.