Strategic IT & Architecture Advisory articles.
Aligning technology roadmaps with business objectives — enterprise architecture, AI strategy & roadmap, modernization and CIO/CTO advisory.
Latest in Strategic IT & Architecture Advisory.
FinOps for AI and Cloud: A CIO Framework for Making Spend Visible to Product Teams
Cloud cost was finally becoming predictable for a lot of organizations — and then AI workloads, with their much more variable, usage-driven cost profile, reintroduced a lot of the unpredictability FinOps practices spent years taming.
Read article →Zero Trust for Non-Human Identities: Securing AI Agents and Service Accounts
Most zero trust programmes were designed around human identities — employees, contractors, their devices. AI agents, service accounts, and automation now routinely outnumber human identities in a modern environment, and a disproportionate share of them still run on standing, broad, rarely-reviewed access.
Read article →Platform Engineering and Internal Developer Platforms: What CIOs Need to Know Before Investing
Platform engineering has moved from a niche practice at a handful of large tech companies to one of the most common line items in enterprise engineering roadmaps — and like most trends that move that fast, it’s easy to invest in the label without understanding the specific problem it’s meant to solve.
Read article →Technical Debt vs Innovation Budget: A CIO Framework for Prioritizing Modernization Spend
The conversation almost never happens explicitly, but it happens anyway, by default, every budget cycle: technical debt remediation loses to new initiative funding, until an outage, a security incident, or a failed project forces the conversation that should have happened proactively.
Read article →Enterprise Architecture Frameworks in 2026: TOGAF, AI-Augmented EA, and What’s Actually Changed
TOGAF has been the dominant enterprise architecture framework for over two decades, and it remains so in 2026 — but the gap between how it’s taught and how mature architecture practices actually apply it has widened, and AI tooling has started to change parts of the job itself.
Read article →From AI Pilot to AI Transformation: A Roadmap That Survives Contact With Reality
A striking share of enterprise AI pilots never make it to production at scale. The pattern is rarely that the model didn’t work — it’s that the organization around it wasn’t ready for what scaling actually requires.
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