Wondercraft saves Trend Radio during a 3-month presenter absence with AI voice cloning
Trend Radio relied entirely on live shows requiring heavy host time investment with no pre-recording option, early AI voice tools produced flat robotic tones unsuitable for broadcast, and a key presenter's 3-month absence created a significant scheduling gap the team could not fill manually.
Earlier AI voice tools used for jingles and filler content produced flat, robotic tones that failed to meet the station's creative standards.
Trend Radio maintained uninterrupted broadcasting covering 3 months of radio time during a key presenter's absence, with cloned voices now including emotional nuances, and the team freed to focus on interviews, event coverage, and community partnerships.
Frequently asked questions
What did this team achieve with this AI workflow?
Trend Radio maintained uninterrupted broadcasting covering 3 months of radio time during a key presenter's absence, with cloned voices now including emotional nuances, and the team freed to focus on interviews, event…
What tools did this team use?
Wondercraft.
What results were reported?
Uninterrupted broadcasting coverage during absence: 3 months; Team time saved: saved us so much time (source-reported, not independently verified).
What failed first in this deployment?
Earlier AI voice tools used for jingles and filler content produced flat, robotic tones that failed to meet the station's creative standards.
How is this back office ops AI workflow structured?
Presenter absence triggers need → AI voice cloning with emotion → Pre-record entire shows → Team redirected to creative work.