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Insights & articles

Articles from Prezelfy on cloud and AI: strategy, architecture, governance and adoption.

Diagram: a cloud bill above a dashed line, and below it an organization chart with tangled connections and a workaround between teams
2026-01-26 Cloud

The Hidden Organizational Cost of Poor Cloud Decisions

Cloud architecture shapes how teams work. Learn which AWS setups create organizational friction, the symptoms to look for, and how to design accounts, ownership and guardrails that scale.

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Diagram: an idea waits through ticket, approval, estimate and environment steps for weeks, compared with a direct path from idea to result on the same day
2026-01-23 Cloud

Decision Latency: The Cloud Cost That Never Appears on Your Bill

Decision latency is the time between a question and an answer your team can act on. Learn where it comes from, how to measure it, and which AWS patterns reduce it.

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Architecture sketch: a user passes an identity check into a runtime with four connected agents, which reach tools through a gateway, with memory below and a trace timeline
2026-01-21 AI

How Enterprises Build Secure and Observable AI Agents on AWS

A practical guide to running AI agents in production on AWS: what Amazon Bedrock AgentCore Runtime, Identity, Gateway, Memory and Observability do, how Strands Agents fits in, and an adoption path.

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Six tiles: private AI, agents in production, multimodal, governance, cost per use case and evaluation
2026-01-11 AI

AI Trends in 2026: What They Mean for Your AWS Setup

Six AI trends shaping enterprise adoption in 2026, and for each one what changes in practice and a concrete first step on AWS.

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Radar chart with five axes: foundations, security, delivery, cost and operations, showing an uneven maturity profile
2026-01-02 Cloud

Cloud as a Business Capability: A Practical Maturity Model

Cloud maturity is not about how many services you use. A practical five-dimension model with questions to assess where your organization stands and what to improve next.

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Diagram: scattered small circles labelled pilots on the left, and four services connected to one shared platform on the right
2026-01-02 AI

From AI Pilots to AI Services: What to Standardize First

Why AI pilots stall before production, and which shared capabilities to standardize first on AWS: model access, data access, guardrails, logging, evaluation and cost attribution.

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