marketing_ops · saas · workflow
Skai builds Celeste with Amazon Bedrock Agents to reduce report generation time by 50–90%
Skai's customers were spending up to 1.5 days per week manually preparing static reports, could not intuitively query complex advertising datasets, and lacked dynamic visualization tools — critical business questions remained hidden in siloed data that required technical expertise to access.
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 · User submits natural language query
Users submit questions and view responses via the Customer Experience UI frontend.
Tools used
Amazon Bedrock AgentsAmazon BedrockCelesteAnthropic's Claude 3.5 Sonnet V2Amazon CloudWatchAmazon CloudWatch Logs InsightsIAMAmazon NovaRAGWatchDogMeta's Llama
Outcome
Deploying Celeste on Amazon Bedrock Agents delivered 50% faster report generation, 75% faster case study creation, 80% faster QBR composition, and 90% faster report-to-recommendation time, turning workflows that once took days or weeks into processes completed in minutes.
Results
Time saved50% Faster
Volume75% Faster
Grounding & classification
Source type: technical build writeup
46 fields verified against source quotes.
agentic workflowcontent generationconversational aidata extractionragsummarizationknowledge basefailure mode describedmetric backednamed customerpeer confirmedproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedmediasoftwarecycle time reductionemployee productivitytime savedtechnical build writeupmarketing opsagentic task executionrag answering