it_support · media · workflow

Untold Studios empowers artists with an AI assistant built on Amazon Bedrock

Untold Studios needed to harness ML to enhance competitive edge while maintaining strict data security, and faced the challenge of building accessible interfaces for a diverse artist base with varying technical experience and access needs.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Artist queries via Slack
Artists interact with the Untold Assistant through private direct messages or by @-mentioning it in Slack channels.
Tools used
Amazon BedrockClaude 3.5 SonnetStable Diffusion 3Amazon CloudWatchSlackRAG
Outcome

The Untold Assistant handles up to 120 queries per day and cuts information retrieval time from minutes to seconds, delivering a significant reduction in time spent searching for information and reduced load on the support and technology team.

Results
Time savedup to 120 queries per day
Volumeabout 10–20%
Source

https://aws.amazon.com/blogs/machine-learning/how-untold-studios-empowers-artists-with-an-ai-assistant-built-on-amazon-bedrock?tag=soumet-20

How we source this →

Grounding & classification
Source type: technical build writeup
31 fields verified against source quotes, 5 dropped as unverifiable.
agent assistcontent generationconversational aiknowledge searchragknowledge basebuilder submittedmetric backednamed customerproduction runtime claimedsource backedworkflow describedmediaemployee productivityresolution time reductiontime savedtechnical build writeupback office opsit supportautonomous resolutionrag answering