Defining an AI-driven futures strategy for a large cloud service provider
Overview
In partnership with Sorai, we worked with a large cloud service provider to define how artificial intelligence should shape its next generation of enterprise applications. The organisation had strong foundations but needed a clearer, future-facing strategy to translate AI into scalable customer value.
Approach
We led the AI workstream within a broader strategy programme, contributing research, trends analysis, and AI opportunity design.
- Current state assessment
Reviewed existing AI capabilities, platform architecture, and adoption challenges. While AI was embedded across workflows, uptake remained limited and fragmented. - Customer and market insight
Worked closely with a researcher to conduct stakeholder and customer interviews across industries, identifying real needs, adoption barriers, and expectations around ROI and time to value. - AI and technology analysis
Mapped emerging AI trends, including automation, agent-based systems, and human augmentation, to industry-specific use cases. - Opportunity development
Identified and prioritised high-impact AI opportunities, aligned to customer needs and commercial potential. - Strategy and roadmap
Synthesised insights into a clear set of strategic imperatives, solution concepts, and a forward-looking roadmap.
Outcomes and achievements
- Clear AI strategy
Defined how AI should evolve from isolated features into integrated, value-driving capabilities. - Prioritised opportunity pipeline
Delivered a structured set of AI use cases and propositions, enabling focused investment decisions. - Stronger product alignment
Connected AI innovation directly to product strategy and customer outcomes. - Future-ready roadmap
Provided a clear direction for developing AI-enabled, next-generation enterprise applications. - Organisation-wide alignment
As part of the wider programme, we brought stakeholders together around a shared vision, increasing momentum and clarity.