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Amazon Web Services cloud solutions and best practices

The Monday digest

The three posts worth your time each week, one paragraph each. From the people building production AI.

Choosing Azure OpenAI, Amazon Bedrock, or Vertex AI for enterprise AI - Professional blog header image
AWS

October 7, 2026

Choosing Azure OpenAI, Amazon Bedrock, or Vertex AI for enterprise AI

Most enterprise AI programs stall for the same reason: the model is not the hard part, the surrounding controls, data access, and workflow integration are. Azure OpenAI fits Microsoft-first estates, Amazon Bedrock fits AWS-first governance and agent patterns, and Google Vertex AI fits teams centered on Google Cloud data and ML operations.

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HCP engagement compliance automation: spend more time engaging, less time reviewing - Professional blog header image
AWS

September 28, 2026

HCP engagement compliance automation: spend more time engaging, less time reviewing

Manual HCP engagement reviews drain time and increase risk. This guide shows how to automate pre-checks, approvals, spend validation, and reporting with agentic AI while keeping auditability and human approval for regulated decisions. Build compliance into the workflow, deliver measurable time-to-value, and stay EU AI Act ready.

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Community bank compliance agents: a practical plan for policy search with citations - Professional blog header image
AWS

September 27, 2026

Community bank compliance agents: a practical plan for policy search with citations

Community banks do not need an autonomous compliance decision-maker. They need a governed policy-search agent that retrieves only approved sources and drafts answers with citations and escalation paths. Here is a concrete plan you can ship in a quarter, with controls aligned to supervisory expectations and the EU AI Act timeline.

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Automotive AI in 2026: Production agents, not pilots - Professional blog header image
AWS

September 26, 2026

Automotive AI in 2026: Production agents, not pilots

Automotive AI is shifting from pilots to production agents across software-defined vehicles, manufacturing, and supply chain. This post shows how to deliver governed, multi-cloud AI with measurable outcomes in weeks, not years, and how to de-risk deployments under the EU AI Act.

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Hybrid cloud AI deployment: when your data lives in multiple environments and your AI needs to work everywhere - Professional blog header image
AWS

September 25, 2026

Hybrid cloud AI deployment: when your data lives in multiple environments and your AI needs to work everywhere

Your data sits across Azure, AWS, Google Cloud, on-prem, and edge. You need agentic AI that works everywhere without breaking governance. Here is a practical, production-focused plan to deploy hybrid cloud AI with one control plane, multiple execution zones, and measurable outcomes.

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RAG for 50,000+ regulatory documents: ingestion, permissions, and audit trails that work - Professional blog header image
AWS

September 24, 2026

RAG for 50,000+ regulatory documents: ingestion, permissions, and audit trails that work

At 50,000 regulatory documents and beyond, RAG only works in production if ingestion, permission enforcement, and audit trails are designed as first-class controls. This post lays out an AWS-centered reference architecture with Amazon Bedrock Knowledge Bases, retrieval-time ACL checks, and immutable audit logging that stands up to GxP, HIPAA, SOX, GDPR, and the EU AI Act.

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Amazon Bedrock handover checklist: acceptance tests and operating ownership for production workflows - Professional blog header image
AWS

September 23, 2026

Amazon Bedrock handover checklist: acceptance tests and operating ownership for production workflows

Most Bedrock pilots fail at handover, not at build. This checklist gives you the acceptance tests, rollback criteria, and named operating ownership you need to move an Amazon Bedrock workflow into production with confidence. Aligns to governance and audit expectations ahead of the EU AI Act deadline.

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AI observability for production agents: monitor actions, data, tools, and outcomes - Professional blog header image
AWS

September 22, 2026

AI observability for production agents: monitor actions, data, tools, and outcomes

Most AI monitoring stops at response text. In production, you need to see what the agent did, what data it touched, which tools it called, and what business outcome followed. Here is a practical, governance-ready plan to reach end-to-end observability in weeks, not years.

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Production begins|with a usable handover architecture diagram: Acceptance evidence to Operating owner to Recovery rehearsal
AWS

September 18, 2026

An AWS AI handover your operations team can run

Hand over an AWS AI workflow with executable acceptance tests, operating ownership, and a recovery plan. Define what happens after the first successful demo.

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Connect the knowledge.|Preserve the boundary. architecture diagram: Microsoft 365 source to Entitlement mapping to AWS workflow
AWS

September 4, 2026

Connect Microsoft 365 knowledge to an AWS AI workflow

Connect approved Microsoft 365 content to an AWS AI workflow while preserving document access. Scope identity mapping, deletion, and citation behavior explicitly.

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Human approval|must control execution architecture diagram: Proposed action to Authorized review to Bounded execution
AWS

August 19, 2026

Build human approval into an AWS AI workflow

Make human review an enforceable step in an AWS AI workflow. Bind approval to a specific proposed action and test expiration, denial, and duplicate execution.

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Observe the workflow,|not just the model architecture diagram: Request trace to Quality & cost to Operator action
AWS

August 5, 2026

Observe Bedrock workflows beyond the model response

Measure Amazon Bedrock workflows from request to business outcome. Plan application traces, sensitive-data handling, and cost alerts before production.

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