We use cookies to personalize content and to analyze our traffic. Please decide if you are willing to accept cookies from our website.
Advanced Settings
Become A Client!

Articles by Category: Strategy Brief

When Smartphone-First Computing Qualifies as an Enterprise Endpoint
Strategy Brief

When Smartphone-First Computing Qualifies as an Enterprise Endpoint

Android’s new desktop capabilities make smartphone-first computing a credible enterprise option, but technical feasibility is not enough. CIOs should approve laptop replacement only where workload, control, resilience, productivity, and lifecycle economics prove the architecture is genuinely better for users today.
Data Readiness for AI Agents Starts With the Decision
Strategy Brief

Data Readiness for AI Agents Starts With the Decision

Agent-data readiness should be measured by whether an agent has the governed information required for a defined decision, not by how much of the enterprise data estate it can technically reach.
Endpoint Management: Standardize Control, Not Tool Count
Strategy Brief

Endpoint Management: Standardize Control, Not Tool Count

Endpoint sprawl is not, by itself, a reason to buy unified endpoint management. Consolidate only where gaps are material, then introduce Artificial Intelligence (AI) as bounded assistance before allowing it to make changes at scale.
Digital Accessibility Belongs in Application Governance
Strategy Brief

Digital Accessibility Belongs in Application Governance

CIOs should now make digital accessibility an enterprise governance requirement, treating jurisdictional legal obligations and common engineering standards separately, and keeping human validation alongside automation and AI.
Low-Code Is Not a Backlog Strategy
Strategy Brief

Low-Code Is Not a Backlog Strategy

CIOs need a routing decision before they approve another application platform. Low-code should be treated as a selective delivery tier within application portfolio governance. It is not a general backlog-clearing strategy.
Operational AI: Scale the Service, Not the Model
Strategy Brief

Operational AI: Scale the Service, Not the Model

Operational AI should be funded as a service decision, not a model decision. The immediate risk is not simply inaccurate output. It is AI becoming embedded in enterprise software, connected to internal data and tools, and granted authority before service governance catches up.
Frontier APIs vs. Open-Weight Models: How Financial Services CIOs Can Improve AI ROI Without Mistaking Token Savings for Value
Strategy Brief

Frontier APIs vs. Open-Weight Models: How Financial Services CIOs Can Improve AI ROI Without Mistaking Token Savings for Value

For a regulated financial institution, replacing a token bill with GPUs does not automatically improve return on investment. It can move costs and accountability into capacity planning, model serving, evaluation, cyber controls, resilience testing, specialist staffing, audit evidence, and incident response.
When AI Becomes a Metered Service, CIOs Need More Than a Budget Cap
Strategy Brief

When AI Becomes a Metered Service, CIOs Need More Than a Budget Cap

A budget cap can stop a bill from crossing a threshold. However, it cannot tell a CIO which workloads should use premium models, which prompts are wasteful, when caching matters, whether long context is necessary, or which business unit is consuming AI because usage is easy rather than because it improves an operating result.
AI Coding Gains Are Real. The Hidden Cost Is Moving Downstream
Strategy Brief

AI Coding Gains Are Real. The Hidden Cost Is Moving Downstream

AI coding tools can accelerate development, but the hidden cost often moves downstream into review, validation, release, and remediation. CIOs should scale selectively, fund the control layer, and measure whether the whole delivery system improves. Not just whether developers generate code faster.
AI Token Sprawl: Govern Developer Agents by Workflow Value, Not Consumption
Strategy Brief

AI Token Sprawl: Govern Developer Agents by Workflow Value, Not Consumption

As AI coding tools and agentic workflows become embedded in software delivery, CIOs need to govern AI spend by business value, workflow impact, and platform dependency. Not by seats, prompts, requests, or tokens alone.