AI-powered video summarisation at scale
Built an automated pipeline that ingests broadcast video, transcribes, and produces editorially-formatted summaries — cutting analyst review time dramatically.
The challenge
Editorial teams were spending hours manually reviewing long-form video content to extract key moments, quotes and summaries for downstream products.
What we built
Designed a serverless ingestion pipeline on AWS to handle large video files with chunked, fault-tolerant processing
Combined Amazon Transcribe for STT with foundation models on Bedrock for editorial-style summarisation against a custom prompt-and-style guide
Added a human review surface so editors could accept, edit, or reject AI output and feed corrections back into the pipeline
Outcomes
Analyst time per video dropped from hours to minutes
Pipeline scales to peak news cycles without intervention
Editorial voice preserved through prompt engineering + reviewer feedback loop
Ready to Automate with AI?
Schedule a free consultation with our team of ex-AWS specialists. We'll discuss your challenges and outline how AI-powered automation can transform your workflows—no commitment required.
