ASTON UNIVERSITY · UNITED KINGDOM
Beyond Pilots: A Socio-Technical Framework for Scaling and De-Risking Enterprise AI
PhD · Taught in en · UCAS N/A
At a glance
36 mo
Duration
6.5
IELTS
€0k
Tuition / yr
en
Language
PhD
Level
- Fully-funded PhDFunding
- 3 years full-timeDuration
- October 2026Start Date
- Supported by Centre of Excellence for Enterprise AI (Capgemini partnership)Industry Collaboration
- Research focuses on real-world enterprise AI challengesApplied Research
- Birmingham, UKLocation
This PhD project focuses on developing a socio-technical framework to help organisations successfully scale and de-risk the deployment of Artificial Intelligence (AI) and Generative AI (Gen AI) within their enterprises. While many companies experiment with AI pilots, a significant number struggle to move beyond these initial stages to integrate AI across their functions and achieve measurable business value. The research addresses the 'proof-of-concept trap,' where the differences between pilot environments (limited scope, curated data) and scaling environments (enterprise data architecture, integration, compliance) lead to failures. It also considers behavioural and organisational risks, such as employees misusing AI tools or exposing sensitive data, which can result in compliance issues and reputational damage. The project proposes AI scaling as a socio-technical transition, requiring systematic de-risking across strategic, operational, governance, behavioural, and infrastructural dimensions. By synthesising industry challenges with Socio-Technical Systems (STS) Theory and Organisational Information Processing Theory (OIPT), the aim is to identify key enablers and governance mechanisms for responsible and sustainable AI scaling, helping organisations move beyond pilots to create durable, risk-adjusted value.
Frequently asked questions
- What are the eligibility requirements for this PhD program?
- You need a first or upper second class honours undergraduate degree in a relevant subject. A Master's degree with merit or distinction in a related discipline, including a dissertation, is also required. An understanding of AI or digital technology adoption and strong research capabilities are essential.
- Is this PhD program fully funded for international students?
- Yes, this project is fully funded and covers all tuition fees for international students. The successful candidate will also receive an annual stipend.
- What is the duration of this PhD program?
- The PhD program is a full-time commitment lasting for 3 years.
- What are the application deadlines for the October 2026 intake?
- The application deadline for the October 2026 intake is 18th May 2026. It is advised to apply as early as possible due to high demand.
- What documents do I need to submit for my application?
- You need to submit English language copies of transcripts and certificates, a Research Statement, a Personal Statement, your CV, and two academic references on headed paper.
- What are the English language proficiency requirements?
- You need an IELTS score of 6.5 overall, with at least 6.0 in each band.
Entry requirements
Undergraduate DegreeFirst or Upper Second Class Honours in a relevant subject.
Master's DegreeMerit or Distinction in a relevant discipline such as Operations Management, Information Systems, Digital Transformation, Business Management, or Social Sciences, including a dissertation/research element.
IELTS6.5 overall (with at least 6.0 in each band)
Qualifications from overseas institutions will be considered for equivalence. Applicants should have an understanding of AI or digital technology adoption and be interested in applied research with industrial stakeholders. Strong communication, intellectual curiosity, self-motivation, and ability to work independently and collaboratively are essential. Evidence of mixed-methods research design capability, including systematic literature reviews and qualitative data analysis, is required. Prior exposure to data analytics tools (e.g., Python, R, SPSS, AMOS) and foundational knowledge of emerging AI paradigms (Generative AI, Explainable AI, Agentic systems) are advantageous but not mandatory. Previous corporate experience or experience in industry-led digital transformation projects, as well as a strong track record of academic writing (e.g., distinction-level Master's dissertation or peer-reviewed publications), are desirable.
Fees
Tuition (international)This project is fully funded and covers all tuition fees for international students.
Tuition (home)This project is fully funded and covers all tuition fees for home students.
LivingStudents are responsible for living costs, including accommodation, utilities, food, and personal expenses. International students must also cover costs related to moving to Birmingham, visa applications, flights, and the NHS Surcharge.
The successful candidate will receive an annual stipend in addition to covered tuition fees. Applicants should ensure they can meet all personal and relocation expenses before applying.
How to apply
1. Prepare Your DocumentsGather all necessary documents, including academic transcripts, certificates, a research statement, a personal statement, and your CV. Ensure references are also ready.
2. Write Your Research StatementDetail your understanding of the research area for 'Beyond Pilots: A Socio-Technical Framework for Scaling and De-Risking Enterprise AI', outline your proposed approach to the project, and include a brief review of relevant literature. There is no set format or word count.
3. Write Your Personal StatementOutline any additional information relevant to your application, such as your suitability for research, career aspirations, potential future research interests, and relevant employment experience.
4. Obtain Academic ReferencesProvide two academic referees who can attest to your suitability for independent research. References must be on headed paper, signed, and dated no more than 2 years old. At least one reference should be from your most recent academic institution.
5. Submit Your Application OnlineComplete the online application form and upload all required documents: English language copies of transcripts and certificates for all higher education degrees (Bachelor's and Master's), your Research Statement, your Personal Statement, your Curriculum Vitae (Resume), and your two academic references.
Scholarships
Fully-funded PhD StudentshipCovers full tuition fees and includes an annual stipend.
Frequently asked questions
What are the eligibility requirements for this PhD program?
+
You need a first or upper second class honours undergraduate degree in a relevant subject. A Master's degree with merit or distinction in a related discipline, including a dissertation, is also required. An understanding of AI or digital technology adoption and strong research capabilities are essential.
Is this PhD program fully funded for international students?
+
Yes, this project is fully funded and covers all tuition fees for international students. The successful candidate will also receive an annual stipend.
What is the duration of this PhD program?
+
The PhD program is a full-time commitment lasting for 3 years.
What are the application deadlines for the October 2026 intake?
+
The application deadline for the October 2026 intake is 18th May 2026. It is advised to apply as early as possible due to high demand.
What documents do I need to submit for my application?
+
You need to submit English language copies of transcripts and certificates, a Research Statement, a Personal Statement, your CV, and two academic references on headed paper.
What are the English language proficiency requirements?
+
You need an IELTS score of 6.5 overall, with at least 6.0 in each band.