Otter.ai adopted as company-wide accessibility and productivity solution at anonymous media company
Employees with hearing disabilities struggled to follow fast-moving closed captions in video calls while simultaneously taking notes, requiring significantly more cognitive effort than for hearing colleagues.
Other transcription tools were evaluated and found to be less accurate, and some required waiting until the end of a call to produce reliable output.
Otter increased accessibility for employees with hearing disabilities and accelerated productivity across the organization, with journalists gaining searchable interview transcripts and all team members benefiting from accurate, referenceable meeting records.
Frequently asked questions
What did this team achieve with this AI workflow?
Otter increased accessibility for employees with hearing disabilities and accelerated productivity across the organization, with journalists gaining searchable interview transcripts and all team members benefiting fro…
What tools did this team use?
Otter.
What results were reported?
Working professionals with a disability (external study): 30%; Disabilities that are invisible (external study): 62%; Organizational productivity impact: accelerated productivity across the organization; Transcript accuracy relative to evaluated alternatives: most accurate in transcribing (source-reported, not independently verified).
What failed first in this deployment?
Other transcription tools were evaluated and found to be less accurate, and some required waiting until the end of a call to produce reliable output.
How is this back office ops AI workflow structured?
Meeting or interview begins → AI-powered real-time transcription → User reviews and highlights transcript → Search centralized transcript archive.