AI Agents Deliver Personalized Night Radio Broadcasts, Cutting Costs by Up to 60%

40–60%

Operational cost reduction

1 person

Overseeing output (was a team)

Fully

Automated night programs

The Challenge

Preparing Nightly Radio Broadcasts Required a Full Team Doing Repetitive Manual Reformatting

Seznam sought to automate repetitive tasks involved in converting content into radio broadcasts, enabling human staff to focus on creating quality material rather than reformatting it. The project also aimed to explore personalisation options such as region-specific newscasts.

Our Approach

Two AI Agents: One Curates Playlists and News, One Writes Scripts with Real Presenter Voices

A specialised AI agent system was implemented where each agent handles specific broadcast production tasks. Agent #1 (Radio Broadcast Producer) generates time-optimised playlists, selects news articles, curates music, and schedules elements. Agent #2 (Radio Host & Script Writer) uses LLMs to write engaging scripts based on news, weather, and content guidelines, then applies text-to-speech technology trained on real presenter voices.

Results

Night Shows Fully Automated, Costs Cut 40–60%, One Person Now Oversees What a Team Once Did

Night programs now run fully automatically without live staff. Operational costs were cut by 40–60% through automated script creation and content selection. One person can now oversee final daytime output versus the previous team requirement. The system opens the door to region-specific personalised content delivery.

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