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Systems AI

For newsrooms where the flow never slows and formats keep multiplying

Three kinds of team get value from this quickly. One kind does not get value at all, and we would rather say so on the first call.

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Several titles, one team, several standards

Multi-brand media groups

Several brands under one roof, dozens to hundreds of pieces published a day, each with its own editorial standard.

What hurts
  • The same story has to appear across several titles, each with its own standard, tags and covers.
  • Coordination lives in chat, and the process lives in a few strong people.
  • Management cannot see where production stalls or what a piece costs.
Who buys
COO, managing director of the group, digital director.
Who uses it
Output editor, feed editor, social editor.

Each brand gets its own media unit with its own routes, prompts and limits. A new brand or language version is configuration, not a development project. Cost and volume are visible per brand.

The editor-in-chief of a brand worries that AI content is being imposed on them, and IT worries about another system next to the CMS. Our answer: the human decision point is architecture, not a promise; each brand keeps its own route; Genix stands beside your CMS, not instead of it.

Hourly output, several formats, live air

High-tempo and broadcast newsrooms

A station network or a multi-format newsroom working in shifts, with a high frequency of bulletins.

What hurts
  • A digest is needed every hour, and voicing, assembly, beds and normalisation are manual.
  • The text version for the site is produced separately and late.
  • Live air never becomes content, even though there is news in it every day.
Who buys
Programme director, network head.
Who uses it
News editor, and partly the sound engineer.

Live audio is transcribed, split into stories and pushed into a route automatically. One piece of material produces the bulletin, the article and the channel post. Routine digests go to the machine; authored programming stays with people.

Presenters worry about voice identity, and sound engineers doubt a machine will mix it the way they do. Our answer: we do not claim studio-quality mixing, and we do not put synthetic voice on authored programming — that is a scope decision, not a limitation we are hiding.

Several voices, several clients, unit economics that has to hold

Brand media, publishers and content agencies

A team serving several brands or clients at once, each with its own voice, channels and rhythm.

What hurts
  • Every client has their own voice, channels and rhythm.
  • Cost per piece does not fall as volume rises.
  • AI spend is unpredictable and cannot be attributed per client.
Who buys
Agency owner, head of content.
Who uses it
Content manager, social manager.

Each client is a media unit with its own prompts, keys and limits. AI cost is metered and capped per unit, so it can be attributed and invoiced. A repeatable process becomes something you can show in a tender.

The senior copywriter worries about craft, and the finance lead worries about an opaque AI bill. Our answer: every paid AI call is metered, and limits are set per unit — cost is visible per brand and can be capped without stopping the rest.

Common objections, answered

Who we are not for

Solo creators and teams without a flow. Anyone wanting a button that writes 500 SEO articles. Anyone who wants the editor removed from the loop. One-off campaigns. Anyone who needs a fully isolated on-premise instance from day one. Anyone who requires SOC 2 or ISO 27001 as a precondition to talk — we do not hold them.

See how we work

Recognise your newsroom here?

Book the qualifying call and we will tell you, in thirty minutes, whether this is worth your time.

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See how we work
Built for newsrooms with a real production flow