Make innovation harmonious
A leading global technology platform faced a common challenge in the age of artificial intelligence (AI): various teams were experimenting with their own AI innovations in silos, disconnected from an overarching enterprise strategy. The fragmented approach and inconsistent execution made it difficult to focus on high-impact AI opportunities that could deliver clear, measurable returns—preventing the company from achieving the full potential and efficiency that is possible by centralized coordination. A unified strategy was needed to transform these individual innovations into a powerful enterprise-wide force.
From fragmented efforts to a unified vision
To move from isolated experiments to scalable AI, the company turned to KPMG for help based on our deep experience in technology enablement and AI transformation. In the client’s journey toward modernized operations, KPMG helped them explore generative AI, agentic AI, predictive, and AI SaaS solutions to drive impact across the enterprise.
Together, the company and KPMG embarked on a foundational project to forge a path to cross-functional AI capabilities. This began with an assessment across nine departments to identify key AI use cases. Based on these insights, they set out to design a strategic roadmap to align teams, prioritize high-value use cases, and establish a clear governance structure for all current and future AI initiatives.
Forging a scalable foundation for the future
The company’s transformation success depended on a future-forward approach to AI implementation. KPMG worked together with the company’s functional and information technology (IT) leaders to:
- Establish a “north star”: After facilitating AI value-realization workshops, the team prioritized use cases; defined success metrics to demonstrate return on investment (ROI); and developed an implementation roadmap with timelines, resources, and technical requirements.
- Build a governance structure: The team conducted an AI security gap assessment and provided a risk and controls matrix to help define governance and control requirements. An executive-level Steering Committee was formed to provide the strategic oversight necessary to guide the AI program effectively.
- Create a unified operating model and playbooks: A leading-practice ways of working operating model and enterprise-wide enablement playbooks were created to document and promote AI functionality.
This collaborative effort moved the organization beyond abstract potential and provided the foundation to drive real-world value. It created a disciplined yet agile framework to accelerate AI deployment across the entire enterprise.
