AI systems for content and media teams
Move a piece through brief, sourcing, rights, and review without losing the editorial judgement that makes it worth publishing.
Where does a piece of work actually wait in your pipeline — and is anybody measuring that, or does everyone just know?
the queue that waits on one person
Production rarely stalls on the writing. It stalls in the gaps: waiting for a rights check, waiting for the one person who knows whether an asset was cleared, waiting for a brief that lives in somebody’s sent folder. Each wait is short enough to seem unavoidable and frequent enough to set your real publishing rate.
the workflows we take on here
- Repackaging one approved piece into the formats each channel needs
- Keeping brief, sources, rights status, and current owner on a single record
- Drafting the mechanical variants: lengths, summaries, alt text, and metadata
- Telling an editor which pieces are waiting, on what, and for how long
where the handoffs actually break
now
A brief in a message thread, sources in a personal drive, rights status remembered rather than recorded, and a reviewer who finds out the piece exists when it lands.
after
One record per piece carrying its brief, its sources, its rights status, and its current owner, so the next person can start without an archaeology session.
what a first slice covers in production
Source and rights metadata that travels with the asset instead of beside it
Draft transformation for the mechanical work: formats, lengths, and channel variants
A review gate that a named editor holds, before anything reaches an audience
the editorial judgement we leave alone
We will not automate the decision about whether something is worth publishing. Machines are useful for the mechanical half of content work and actively harmful when handed the taste.
Thirty minutes, no charge, no deck required.