The prompt
As automaker Lucid prepared for its next phase of growth, executives wanted the finance department to evolve from reporting results to shaping them—improving the speed and quality of forecasting, planning, and decision support so finance could serve as a foundation for enterprise intelligence.
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The
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outcome
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The move
Working with PwC, Lucid rapidly prototyped AI-enabled forecasting and reporting capabilities using operational data, applied AI models, and agent-based tools. Cross-functional pods combined Lucid and PwC specialists to embed AI into finance workflows—automating forecasting, reconciliation, analytics, and monitoring, and creating a repeatable blueprint for scaling AI decision support across the business.
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The
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The outcome
Lucid reduced end-to-end forecasting cycle time from weeks to less than a minute, and in ten weeks, designed and began scaling 14 AI-driven use cases. The work is now expanding beyond finance into such areas as procurement and operations, including an AI-enabled executive concierge that supports faster leadership decision-making with visibility into more than US$1 billion in capital investments.
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The prompt
For farmers, rising input costs and sustainability pressures place greater importance on outcomes like reduced chemical use, higher yields, and better stewardship. For John Deere, these shifts mean opportunities to create value with innovative offerings that bring AI into more sophisticated machines.
In response, John Deere has made it a priority to create a solutions-and-services business model that lowers upfront barriers and supports recurring, outcomes-linked revenue.
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The
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The
outcome
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The
move
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The
outcome
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The prompt
Working with PwC, Lucid rapidly prototyped AI-enabled forecasting and reporting capabilities using operational data, applied AI models, and agent-based tools. Cross-functional pods combined Lucid and PwC specialists to embed AI into finance workflows—automating forecasting, reconciliation, analytics, and monitoring, and creating a repeatable blueprint for scaling AI decision support across the business.
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The
prompt
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The outcome
The programme organised about 2,000 data tables into reusable assets built for real-world decisions, such as recognising when a patient could benefit from more affordable—but equally effective—treatment options. Care teams now access analytics 50% faster, enabling quicker matching of patients to trials, point-of-care treatment comparisons, and earlier identification of risks. The privacy-protected insights also created more than US$50 million in new value potential through research acceleration and life sciences partnerships.
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The
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The prompt
An industry-leading healthcare organisation knew its oncology data could help it deliver better care and accelerated research. But much of that information was trapped in siloed systems and unstructured notes. Even after the company modernised some of its platforms, key information like pathology, biomarkers, treatment history, and social determinants remained scattered. Executives resolved to unify this data so they could facilitate timely analysis and enable doctors to personalise care or match patients to trials.
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The
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The
outcome
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The
outcome
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The prompt
With PwC and Google Cloud, the organisation built a scalable, AI-ready oncology data foundation that streamlined how data was ingested, cleaned, organised, and made searchable—across records, claims, third-party sources, and clinical notes. AI helped convert unstructured information into usable formats, while Google Cloud tooling delivered real-time insights designed around frontline clinical and research workflows, with embedded monitoring of data quality to build trust.
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The
prompt
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The outcome
The programme organised about 2,000 data tables into reusable assets built for real-world decisions, such as recognising when a patient could benefit from more affordable—but equally effective—treatment options. Care teams now access analytics 50% faster, enabling quicker matching of patients to trials, point-of-care treatment comparisons, and earlier identification of risks. The privacy-protected insights also created more than US$50 million in new value potential through research acceleration and life sciences partnerships.
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