Pilot purgatory plagues AI adoption; prototypes impress, then stall. AI Fusion

Works institutionalises the journey from idea to enterprise value. Phase One benchmarks processes by automation potential, ethical risk, and carbon impact; a business-case engine ranks use cases on NPV and time-to-benefit. Phase Two stands up a secure model factory: curated data products, feature stores, MLflow pipelines, and retrieval-augmented generation for domain grounding. Every model passes bias, robustness, and energy-efficiency gates before promotion to production. Phase Three embeds AI outputs into workflows–claims adjustment, demand sensing, code review–via low-code action cards, ensuring adoption. Phase Four governs at scale: policy-as-code ties usage to explainability thresholds; carbon meters throttle high-load inference during peak fossil-fuel hours. Clients average 28 percent productivity lift, 40 percent defect reduction, and USD 200 million in new digital revenue within two years while staying audit-ready for the EU AI Act–demonstrating that responsible AI is profitable AI.