Practical AI learning for real business decisions.
A research-informed teaching and training resource designed to help learners understand AI, identify opportunities, prepare organisations and build an actionable AI roadmap.

AI for Business: Leveraging AI for Organisational Success
A practical, ready-to-deliver learning package for universities, professional educators, training providers and corporate learning teams.
From AI awareness to practical organisational application.
The programme provides a structured journey from AI foundations through practical application, organisational readiness and implementation planning.
It combines structured teaching with applied activities, cases, assessments and organisational tools.
Practical • Research-informed • Ready to deliver
Explore the programme at a glance.
The full teaching-pack brochure provides an overview of the programme, its structure and the resources included.

A complete teaching resource package.
Designed to support consistent, practical delivery rather than simply providing presentation slides.
18 videos
Recorded teaching content supporting the programme.
18 slides
Presentation materials supporting the programme.
13 workbooks
Learner workbooks supporting reflection and application.
4 assessments
Module assessments supported by answer guides and explanations.
Practical activities & cases
Applied learning built around realistic business situations.
AI readiness tools
Readiness, diagnostic and roadmap resources for organisational application.
Responsible AI
Governance, responsible use, security and human oversight are integrated throughout.
Adaptable delivery
Suitable for higher education, professional training and organisational learning.
Designed for organisations delivering high-quality AI learning.

Research that reaches beyond the paper.
Alongside our AI in Business work, Scholarly Insights Academia supports research development, knowledge exchange and practical research-impact activities.
Upcoming: Research Impact Workshop
One activity within our wider Research & Impact work.