Articles about AI Strategy - practical insights for businesses leveraging AI.
AI Strategy
Senior AI leadership is scarce, slow to hire, and easy to get wrong. A Fractional AI Lead gives you the ownership and accountability now, on a defined mandate. Here is what the role owns, how to structure it, and when you should hire permanently instead.
AI Strategy
Most AI business cases are approved on a number nobody tested. Here is how to validate a projected return before you build: a measured baseline, honest attribution, full lifetime cost, and why a fixed-fee scope keeps the answer honest.
AI Strategy
An AI data infrastructure assessment tells you whether your data can support the AI system you want to build: access, coverage, quality, labels, lineage, and the production serving path. Here is the checklist, the fast probes, and what to do when the answer is no.
AI Strategy
Most AI projects fail for organisational reasons, not technical ones. This is the strategic roadmap that heads off failure at each stage - five gates from framing the problem to sustaining a system in production, and when to stop.
AI Strategy
An AI readiness audit validates the business case before anyone writes code: data readiness, feasibility, ROI, EU AI Act risk, and build vs buy. Here is the assessment framework, and what it costs to skip it.
AI Strategy
Hermes Agents are goal-driven AI agents that carry work across the systems your business already runs on. Here is how they optimise operations, where they pay off, and how to deploy them without losing control.
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