Continuous Evolution: Building Adaptability in the Age Of AI

In the age of AI, standing still is not an option. Continuous evolution and adaptability are essential for organisations to thrive, harness technology, and turn rapid change into a competitive advantage.

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 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.

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.

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

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.

Agentic AI for your enterprise: Cutting through the hype

Agentic AI is full of promise but also full of hype. In this blog, I cut through the noise to explore how enterprises can pragmatically adopt Agentic AI, starting with strong data foundations, human-in-the-loop workflows, and a responsible approach to governance. From the “Iron Man Suit” philosophy to avoiding shadow AI, this is a roadmap to real, sustainable impact, not science fiction.

NEOS is redefining customer service in the life insurance industry with generative AI

Cevo has partnered with leading life insurance brand NEOS to use generative AI to radically improve the efficiency of managing…

Retrieval Augmented Generation (RAG) Options in AWS

Cevo Consultant JO Reyes explores options for building Generative AI applications using Amazon Web Services (AWS).

How to Build, Train and Deploy Your Own Recommender System – Part 2

In this article, JO Reyes demonstrates how to build a recommender system from the ground up and deploy it to serverless AWS.

How to Build, Train and Deploy Your Own Recommender System – Part 1

In this article, JO Reyes explains how to build a recommender system using Matrix Factorisation.