A CV parsing pipeline stops being a parser the moment a score sorts a list. Where Textract and Bedrock actually fit, why redacting names does nothing for bias, and what to document before anyone asks you to explain a ranking.
A confident answer with a citation from a matter the reader was walled off from. Nothing crashed, nothing alerted. Building legal document intelligence on AWS with Textract, Bedrock and OpenSearch is the easy half; the hard half is tenant isolation, verified deletion, S3 Object Lock holds, what leaves the account, and an audit trail that names the actual user.
The demo works, then someone sees records they shouldn't. Nothing errors. Here's how to build a Salesforce AI assistant with Amazon Bedrock that respects your sharing model: which doors AWS and Salesforce just closed, why identity propagation is the failure mode that bites, and how to shape the tool surface so the agent can't wander.
Semantic search finds the most persuasive document, not the earliest one. Here is how to architect an AI construction claims and dispute intelligence platform on AWS so retrieval respects the contractual clock, schedule data stays out of the vector index, every answer resolves to a page, and privileged material never shares a retrieval path with project records.
A practical architecture for a secure AI medical assistant on AWS, organised by the boundary the data crosses: the input box, your own invocation logs, cross-Region inference routing, the retrieval index, and clinical accuracy. Includes real commands, the failure modes that stay invisible until an audit, and the trade-offs worth knowing before you build.