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Case Study
13 October 2025
Posted in:
1-minute-read, artificial-intelligence, intelligent-automation
By Arron Clarke
Managing Director
Back to Our Expertise

Oxford University - NDORMS: Developing an AI Roadmap for Professional Services

Key Stats at a Glance

  • Comprehensive AI roadmap delivered for Professional Services
  • Clear opportunity pipeline defined across administrative and academic support functions
  • AI literacy advanced among senior stakeholders
  • Foundations laid for long-term adoption and scalability 

Client & Context

Oxford University, one of the world’s leading higher education institutions, sought to explore how AI could transform its Professional Services. Administrative functions — from HR to finance and student support — faced increasing demands and rising costs, while academic and research excellence remained the institution’s primary focus.

The University recognised that AI had the potential to reduce administrative burden, unlock efficiency, and enhance staff and student experiences. However, a roadmap was needed to move from theory to practical adoption.

Hudson & Hayes was engaged to develop an AI roadmap, building literacy, identifying opportunities, and charting a path to scalable adoption.

The Challenge

Key issues included:

  • Fragmented awareness of AI, with varying levels of understanding across Professional Services. 
  • High-volume manual processes consuming staff time, from student services to finance. 
  • Lack of a structured pipeline to prioritise AI initiatives with measurable ROI. 
  • Risk of piecemeal adoption, leading to duplicated efforts and missed opportunities. 

The Solution

Hudson & Hayes applied its GenAscend methodology, tailoring the approach to a university environment.

1. Educate & Align

  • Ran AI education sessions for senior stakeholders, covering fundamentals, governance, and practical applications. 
  • Shared case studies of AI in higher education and adjacent sectors to inspire adoption. 

2. Discover & Reimagine

  • Conducted workshops across Professional Services functions to identify pain points and AI opportunities. 
  • Built a prioritised opportunity pipeline, balancing efficiency gains with service quality improvements. 
  • Estimated potential ROI and benefits for shortlisted use cases. 

3. Build Roadmap

  • Developed a comprehensive AI roadmap covering: 
    • Short-term pilots for quick wins.
    • Medium-term automation opportunities.
    • Long-term strategic AI investments. 
  • Defined governance and capability requirements to ensure sustainable adoption. 

4. Enable & Sustain

  • Advanced AI literacy across leadership, equipping stakeholders to sponsor and sustain initiatives. 
  • Provided recommendations for capability building and change management to support rollout. 

Key Outcomes

  • Comprehensive AI roadmap delivered, providing clarity on where to start and how to scale. 
  • Clear opportunity pipeline defined, covering both efficiency gains and student/staff experience improvements. 
  • AI literacy advanced among senior stakeholders, creating champions for future adoption. 
  • Foundations laid for scalability, ensuring Oxford can continue to evolve its AI strategy over time. 

Conclusion

Hudson & Hayes helped Oxford University move from curiosity to clarity on AI adoption in Professional Services. By embedding literacy, defining a prioritised opportunity pipeline, and creating a roadmap, the University is now positioned to leverage AI in a strategic, scalable, and responsible way.

This foundation ensures Oxford can continue to focus on academic and research excellence, supported by professional services that are efficient, future-ready, and digitally enabled.

 

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