**The Challenge** Industrial service providers do clever technical work to make their customers' operations more efficient — saving fuel, reducing emissions, extending equipment life. But the customer in many cases is a corporate sustainability office or a shipping company's investor relations team. They don't speak in compression ratios and exhaust gas temperatures; they speak in CO2 tonnes, ESG ratings and regulatory compliance. Today, translating engineering wins into customer-facing sustainability narratives is a slow, manual, expensive job. Can AI do it automatically and credibly? **Mission** Build a system that takes engineering-level efficiency improvements (fuel saved, emissions reduced, equipment life extended) and generates customer-facing narratives at multiple audiences: ESG report contribution, investor relations talking points, regulatory compliance evidence. Validate the narratives for accuracy with engineers and for resonance with sustainability professionals. **Why we suggest this** The translation layer between engineering metrics and customer-facing sustainability narratives is a manual cottage industry across the industrial sector. Decarbonisation services and ESG reporting are fast-growing revenue areas; the supporting communications infrastructure is not. Strong cross-portfolio applicability across any B2B sustainability services business. *Project will use AI-generated synthetic engineering improvement data and publicly available ESG reporting frameworks.*