ZANUS AI FOR BROADCASTING & MEDIA — AI WORKFORCE

A researcher that never misses air.

Assign work to the AI the way you assign it to staff: type, sources, deadline, priority. The morning rundown research packet, the weekly archive digest, the monthly rights review — executed on schedule, with citations, under review.

Get started

Private tenant or your own servers · unlimited users · your archive stays yours

Assigning AI work with the four-step wizard

Four steps: work type, media and libraries, tags, schedule — the AI takes it from there.

What it does

Work types for a newsroom

Archive pull, script draft, metadata pass, rights review: work types molded to your operation, with default libraries and examples per type.

Urgent / Overdue / Today

The AI’s workload is managed like the team’s: one-click views show what is urgent, late, today and tomorrow — nothing slips silently before air.

A researcher’s diligence, on the record

Every work is a full session: reasoning streamed, sources cited to the clip and second, milestones tracked, linked to the story and the calendar.

Every morning, 5 AM: the research packet is ready

Set “Daily Rundown Research” once: every morning the AI compiles what the archive holds on the day’s planned stories — prior coverage, key quotes with timestamps, background — and files the packet before the morning editorial meeting.

Recurring schedules for daily production work
Quotes cited to the clip and the second
Packet in Output, awaiting the producer

Roster of scheduled AI works for a newsroom

Media software is priced by storage tier and edit seat, and archive search still means metadata fields someone typed in 2009 — while the producer needs the exact quote before the 6 PM rundown locks. Zanus AI: the content itself transcribed and searchable to the second, click-to-play timestamps from every search result, unlimited users — and the archive stays in YOUR tenant, training nobody else’s model.

Questions, answered

Can we supervise mid-work?

Yes — open any session, read the reasoning, redirect it, or stop it. The AI works like staff: visible, accountable, interruptible.

What volume can it handle?

It does not get tired: the constraint is your review capacity, not the AI’s. High-volume archives graduate to the On-Prem Tokens Server.

A researcher that never misses air.

What it does

Every morning, 5 AM: the research packet is ready

Questions, answered

See it working on YOUR station — the demo IS the product.