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Measuring Agentic AI ROI: Introducing The Triad ROI Framework

Measuring Agentic AI ROI: Introducing The Triad ROI Framework

Agentic AI is redefining how enterprises measure success — not just in innovation, but in real financial returns. In this second step toward Agentic AI excellence, we introduce the Triad ROI Framework, a practical model for quantifying value across cost savings, revenue growth, and risk reduction. Learn how to assess impact over time, track the right metrics, and build the foundations for sustainable AI-driven performance.

Agentic AI: From Hidden Tool to Trusted Partner

Agentic AI From Hidden Tool to Trusted Partner

Agentic AI is transforming the way we work, evolving from hidden tools in the shadows to trusted collaborators. In this blog, we explore the four stages of agentic AI, the key risks of data, hallucination, and context drift, and why human-in-the-loop governance is essential for building trust and maximising productivity.

How AI Became My Coding Assistant (And Why It Should Be Yours Too)

AI Coding Assistant

AI coding assistants are changing how developers work. In this blog, Ian Ng shares how Amazon Q Developer became a powerful coding partner, helping automate routine tasks so developers can focus on architecture, problem-solving, and building better solutions faster.

5 Traits of a Winning Data Strategy for Business Success

Data Strategy Diagnostic - 5 Traits of a Winning Data Strategy

A winning data strategy combines strong governance, reliable quality, and scalable architecture to drive measurable outcomes. With AWS and Cevo’s Data Strategy Diagnostic, organisations can build the foundation for AI-driven innovation and long-term growth.

AI Agent Evaluation Techniques: Step 1 in AI Excellence

AI Agent Evaluation Techniques Step 1 in AI Excellence

Evaluating AI agents is the critical first step in achieving AI excellence. This blog explores modern frameworks and benchmarks that assess agents’ core capabilities, domain-specific performance, generalist reasoning, and evaluation methodologies, ensuring AI systems are reliable, adaptable, and ready to deliver real business value.

Advanced Prompt Engineering for AWS

Advanced Prompt Engineering for AWS

Advanced prompt engineering for AWS goes beyond basic prompts. By using techniques like chain-of-thought reasoning, few-shot learning, and iterative refinement, you can guide AI to deliver smarter, context-aware solutions that actually work within real-world project constraints. In this post, I share the methods I use on client projects to turn AI into a true consulting partner.

Prompt Engineering for AWS: Why I Started Having Real Conversations with AI

A. human hand reaching for a robotic hand. Prompt Engineering for AWS

Prompt engineering for AWS has transformed the way I work in cloud consulting. By learning to give AI tools like Amazon Q and Amazon Bedrock the right context, constraints, and roles, I’ve gone from getting generic answers to receiving tailored, cost-saving solutions. In this post, I share the practical techniques that turn AI into a true partner for solving complex AWS challenges.

How PII redaction in the cloud prevents data breaches

A photo of a confidential document with sensitive data that has been censored.

As data breaches surge across Australia, protecting Personally Identifiable Information (PII) has never been more urgent. In this practical guide, I share why PII redaction in the cloud is essential for both compliance and resilience and how AWS-native tools can help you detect, redact, and govern sensitive data at scale. Whether you’re just starting out or refining an existing approach, this article offers real-world strategies to reduce breach impact and build customer trust.