CIOs in Energy and Insurance are redefining how tech drives business. This post explores how two leaders used independent, data-driven insights to align technology decisions with strategic goals during critical transformations, turning complexity into clarity and enabling real business impact.

Harvard’s 2025 study reveals AI adoption is outpacing team readiness, creating a critical “speed to skill” gap. We see the result daily: code acceleration without architectural understanding. To succeed, teams must stop treating structure as fixed and start refactoring their culture like code.

AI is moving fast in software teams. But the results are not the same everywhere. Some teams ship more value. Others ship more noise. The difference is not the AI tool. It’s the environment where the tool is used. That environment is Developer Experience (DX).

Investors often focus on market fit and revenue multiples, but the real "deal killers" are usually hidden deep in the engineering culture. We call these the 5 Silent Killers of software assets. They are the structural and legal rot that audits often miss until it's too late.

DX Hub’s Squads module brings structure, data, and decision-making together in one place. From organizational views to squad-level insights, it transforms raw metrics into actionable intelligence—helping leaders and teams make faster, clearer, and more aligned decisions.

AI doesn’t fail because of bad models — it fails because of broken foundations. Without a unified developer experience, solid data strategy, and experimentation guardrails, even the best AI won’t deliver results.

Turn AI strategy into real impact. We align your ambitions with the reality of your data, architecture, and team capabilities, providing a clear roadmap and the governance needed to execute at scale.

The new Squad Dashboard in DX Hub represents a major step forward in how organizations transform operational data into actionable knowledge.

The future of decision-making is already happening here: a collaboration where human insight and machine intelligence move in parallel, toward clarity and impact.

The role of the CIO has evolved from “keep the lights on” to “drive business outcomes”. Yet, many IT organisations still struggle to articulate how technology investments translate into business value.