Practitioner pillar guides on the topics our consulting practice sees most often in board-level briefs. Each is a working artefact - not a marketing landing page.
The EU AI Act is the first systemic AI law most global corporates will encounter. This pillar guide covers what the Act actually does, how to operationalise it, and the timelines that matter.
How enterprises move from demo-quality generative AI to production systems that survive audit, scale predictably, and hold their cost line.
AI governance is not a layer added before launch. It is engineered into the work from the first interview. This pillar covers the standards, controls and operating model that make AI deployable.
Generative AI raises the cost of bad data dramatically. A pipeline that silently broke for three days used to delay a dashboard; now it silently fabricates plausible-sounding wrong answers. The architectural compensation is data-product thinking.
AI workloads are not normal compute. They are inference-bound, GPU-sensitive and cost-sensitive in new ways. Modernisation programmes that ignore this end up paying twice.
AI ROI conversations get stuck on the wrong metrics. This pillar covers the value-pool framing, unit-economics view and reporting cadence we use with finance leaders.