Case study · From the Pluris libraryReceipt no. 4776
What sucked
Kent Online's journalists were spending significant time on repetitive, routine tasks, transcription, research and administration, that ate into time for discovering new stories and digging into the facts.
The newsroom wanted to use AI to speed up and improve reporting without compromising editorial standards, but needed practical, responsible ways of working rather than abstract AI theory.
What they built
GenFutures Lab delivered a hands-on AI training programme for 25 Kent Online journalists, built around real newsroom workflows, live demos, guided exercises and labs covering research, transcription, summarisation, headline testing and responsible use, using ChatGPT and Claude with RTF/RISEN/RODES prompting frameworks and NUJ-aligned guardrails.
What changed
25 journalists
The full newsroom trained to apply AI across the reporting cycle.
Less admin time
Transcription and routine tasks automated, freeing time for reporting.
Responsible by default
NUJ-aligned guardrails embedded into every AI workflow.
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