Used For

• +**Your data team spends 15 hours/week writing SQL reports** → Business users ask questions in plain English, get answers in minutes instead of ticket queues
• +**Your customer support gets 200 repetitive questions daily** → AI agents handle 80% automatically using your actual documentation and policies
• +**You're running GPU clusters that crash at 3am and cost $5K/month idle** → Pay per API call, zero infrastructure headaches
• +Fine-tune models on your private data - no sharing with AWS or model makers
• +Guardrails block 88% of harmful content and catch 99% of hallucinations before users see them

Best For

• >Your AWS team needs AI apps built in days, not months, and has a real budget
• >You're already deep in AWS and need AI that doesn't leak data to competitors
• >Manual data queries are killing your analysts and executives want "ChatGPT for our data"

Not For

• -Solo developers or startups under 50 people — you'll burn through $1K experimenting before you build anything useful
• -Teams wanting simple drag-and-drop AI — this requires actual coding and AWS knowledge
• -Non-AWS shops — the migration headache isn't worth it when OpenAI API costs 10x less for basic tasks

Pairs With

• *S3 (where your training data lives and processed outputs go)
• *Snowflake (what your AI agents actually query when users ask business questions)
• *Lambda (to trigger AI workflows without managing servers)
• *Slack (where your team gets notified when AI agents need human help)
• *SageMaker (if you want to import custom models after Bedrock's options aren't enough)
• *CloudTrail (because executives want logs of every AI interaction for compliance)
• *OpenAI (what you'll switch back to when the AWS bills hit)

The Catch

• !Prompt experimentation will secretly cost $50-200/week because there's no spending caps and tokens add up fast
• !You need someone who knows AWS IAM and VPC setup or you'll spend days on permissions instead of building
• !Knowledge Bases sound easy but still need 5-10 hours of schema work and S3 data prep to actually work

Bottom Line

Serverless AI that costs enterprise money even when you're just experimenting.