Global / UK · responsible AI
Connecting organisational AI adoption with human capability, ethical governance and a framework for assessing value and mission contribution.
- Contribution
- Adoption leadership, framework development and organisational research
- Evidence
- Internal study involving 107 colleagues
- Related research
- Ongoing DBA on AI implementation in UK mission-driven organisations
The challenge
For a mission-driven organisation, adopting AI is not simply a software rollout. Teams need credible use cases, confidence in how systems are applied, capability to work with them and a way to assess value beyond financial efficiency.
My contribution
I led practical AI adoption work, conducted an internal adoption and ethics study involving 107 colleagues, and developed a socio-technical framework for assessing financial return, organisational value and mission contribution. I connected this organisational work with my ongoing doctoral research on AI implementation.
The approach
- Studied adoption, transparency, responsible-use concerns and organisational readiness.
- Considered trust, capability, workflow change, governance and mission contribution alongside financial return.
- Translated findings into questions for leadership, capability building and product decisions.
- Used socio-technical research to examine how organisational and technical conditions interact.
What this work demonstrates
Adoption beyond deployment
Tools, workflows, skills, incentives and culture were examined as one organisational system.
Organisational research
The internal study gathered evidence from 107 colleagues rather than relying only on assumptions about adoption.
Value framework
The work developed a framework for assessing AI value, organisational outcomes and mission contribution.
Responsible implementation
Trust, transparency, human capability and governance informed the approach.