IT leadership

  • IT Teams: Take a Page from Product Development’s Notebook

    IT teams adopting product-style ways of working need more than new rituals. The real issue for CIOs is how to redesign funding, decision rights and performance measures so agility improves business outcomes instead of just speeding up activity.

  • Managing Technical Debt in the Midst of Modernization

    Technical debt is not just a code issue; it is a portfolio and governance decision. For CIOs and transformation leaders, the key question is how to fund, measure, and assign ownership for debt without undermining modernization, resilience, or delivery accountability.

  • How Teaming Supercharges Collaboration

    Teaming matters to technology and transformation leaders because collaboration fails when governance, accountability and incentives are not redesigned with it. The key issue is not enthusiasm for cross-functional work, but whether the operating model can sustain it and turn it into measurable enterprise outcomes.

  • Key Steps for Launching Your IT Outsourcing Partnership

    IT outsourcing matters because it is an operating-model decision, not just a staffing tactic. Leaders need to define decision rights, benefits measures, and internal oversight before work moves outside the organisation, or they risk losing control while still carrying the management burden.

  • Which Employees Do You Promote?

    Promotion decisions in IT shape more than careers: they affect accountability, retention, succession and culture. CIOs need clear promotion paths, separate reward from role change, and standards that make advancement defensible across technical, managerial and lateral careers.

  • Making the Transition to Artificial Intelligence

    AI adoption matters because it quickly becomes a governance, funding and operating-model issue rather than a series of isolated pilots. CIOs need to decide which use cases deserve investment, who owns outcomes and how to manage workforce impact before scaling.

  • How, When, and Why to Hire a Chief AI Officer

    A chief AI officer can sharpen AI ambition only if leadership first defines decision rights, funding rules and accountability across CIO, CTO and risk functions. This matters because AI programs often fail at scale when governance is unclear and adoption is treated as a side project.

  • How to Handle a Toxic Boss

    Toxic managers in IT are not just an HR issue; they can damage delivery, retention and decision quality. This matters to CIOs and CTOs because it turns leadership behaviour into an operating risk that needs governance, escalation paths and accountability.

  • Your Board is Your Best Insurance Against Turbulence

    Boards can be a source of strategic resilience when turbulence exposes hidden weakness. For CIOs and transformation leaders, the issue is not ceremonial oversight but timely challenge, escalation discipline and decision rights that prevent small problems becoming governance, regulatory or portfolio crises.

  • High-Stakes Leadership: How CEOs Navigate Critical Decisions

    High-stakes decisions in technology and transformation are as much a governance problem as a leadership one. This piece matters because it highlights how decision rights, escalation paths and portfolio discipline shape the quality of choices made under pressure.

  • 6 hard truths CEOs must confront in the generative AI era

    Generative AI success is now less about enthusiasm and more about executive control: clear ownership, disciplined portfolio choices and an operating model that can scale adoption without creating fragmented tools, duplicated spend or unmanaged risk.

  • Enterprise Cost Optimization: Strategies for CIOs

    Enterprise cost optimization matters because it is really a governance and portfolio discipline: CIOs must decide where to save, where to reinvest, and how to prove that technology spend is still supporting business value without adding unnecessary complexity or risk.