Enterprise AI agents on AWS
Architecture, security, and deployment guidance from teams running AI agents inside their own AWS accounts — not in someone else's SaaS.
Enterprise AI Companies: Five Types, and How to Choose Between Them
Enterprise AI companies fall into five types. Compare them on data control, cost and time to production, with independent adoption data and vendor questions.
~13 min read
2026-10-12
Enterprise AI: What the Evidence Says About Getting It to Work
Enterprise AI explained through independent research: what decides success, how data quality and governance matter, and what the evidence cannot yet tell us.
~11 min read
2026-10-12
Amazon Bedrock in Production: What the Platform Actually Gives You (and Where It Gets Hard)
Amazon Bedrock gives AWS-native teams unified API access to 100+ foundation models. Here is what it actually delivers in production — and where it gets hard.
~16 min read
2026-10-10
Enterprise AI: What It Actually Takes to Go from Pilot to Production
What enterprise AI requires: data quality, deployment architecture, and human oversight — grounded in Stanford's 51-deployment study and McKinsey's 2026 survey.
~14 min read
2026-10-10
How to Choose Enterprise AI Software: The Three Deployment Decisions That Actually Matter
How to choose enterprise AI software: build, SaaS, or in-account deployment — decision criteria, ROI metrics, and a pre-commitment checklist.
~15 min read
2026-10-02
Deploy an AI agent in your AWS account without building the platform from scratch
A production-ready scaffold that runs in your environment — not ours. Auth, RAG, runtime, observability, all inside your AWS account.
~8 min read
May 15, 2026