Case studies — Smarterapps Ai
Media AI automation
How an Australian media business can give audiences a faster path to the right story, help producers research from their own archive, and move a piece through editorial without losing the rights trail.
The situation
What was getting in the way.
An Australian publisher kept the archive in one system, the rundown in another and rights emails in a third. Audience questions about subscriptions and corrections hit a small inbox. Producers re-searched footage they were sure the archive held.
Editors would use an assistant that retrieved their archive and their style notes. They would not use one that drafted a published line without a producer, or that guessed a rights status.
This anonymised use case is a composite of the media work Smarterapps Ai designs. It is not a named publisher and it does not claim an audience figure.
Read the matching industry page on Media and entertainment AI, or talk to us via contact or chat.
What we would build
The app, the assistant and the automation.
Each part is scoped so a person keeps the decision that matters. This is the shape of the engagement, not a claim that every module ships on day one.
01 — Audiences
Audience app
Follow topics, manage a subscription and reach corrections or support without starting from a blank email.
02 — Research
Archive assistant
Producers ask the archive and the style notes you approve. Results cite the asset or the page. If it is not in the archive, the assistant says so.
03 — Rights
Rights and metadata
Rights status and usage notes captured against the asset, with unknowns flagged rather than defaulted to cleared.
04 — Desk
Publishing workflow
A piece moves through the stages your desk already has. The assistant prepares. It does not publish.
05 — Support
Audience assistant
Subscription and access questions from published help content. Complaints and corrections go to a person with the story attached.
06 — Systems
CMS and archive integration
Reads the content system and the asset library you run, so research does not create a third copy of the archive.
How it runs
From the first request to the system of record.
The automation prepares work. It does not take the action your organisation reserves for a person.
Step 01
A producer asks the archive
The assistant returns assets and notes with identifiers. It does not fetch unlicensed material from the web to fill a gap.
Step 02
Rights stay explicit
Unknown rights are a flag. The workflow cannot mark an asset cleared unless a person in the role you name does so.
Step 03
Drafts wait for the desk
A briefing can be prepared. Publish, legal sign-off and correction decisions stay on the desk.
Step 04
Audience issues reach the right queue
Subscription questions resolve from help content. A correction opens a task on the story, for an editor.
Outcomes
What this pattern is built to change.
Research that cites your archive. Producers get the asset identifier, not a confident paragraph with no source.
Rights unknowns stay unknown. The system does not quietly treat silence as clearance.
The desk still publishes. Automation prepares stages. People publish.
Corrections have a path. Audience issues land on the story instead of a side inbox.
Controls
What the automation is not allowed to do.
Archive access follows existing production roles. The assistant does not scrape or generate a substitute for material you do not hold. Publishing and legal approval are human steps. Audience accounts see only their own subscription. Correction tasks are attributable.
Smarterapps Ai builds the software and the operating guardrails with you. We do not invent a compliance position for your sector. The person you already hold accountable — clinician, adviser, officer, supervisor — still makes that decision.
This page is an anonymised composite use case. It uses a realistic Australian scenario. It is not a published result for a named organisation.
Keep going
Industry page, services and chat.
The industry page covers how we build. This page covers one operating pattern.
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You can also open the chat on this page and describe the workflow. A person follows up from there.
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FAQs
Questions we expect on the first call.
Will this write and publish stories?
It can prepare research from your archive. Publishing stays with your editors.
Can it clear rights?
No. It records the status you enter and blocks a silent default to cleared. A person makes the clearance call.
Does the audience assistant speak for the newsroom?
Only from help content you publish. Complaints and corrections are queued to editors.
Where next?
The archive search your producers already do by hand. Contact or chat and we will ground it in the library you trust.
Start with one workflow
Retrieve the archive. Let editors publish.
We will take one desk, the asset library it already trusts, and the rights field that must never be guessed. Or open the chat on this page.