Overview

Organisations often struggle to move AI beyond pilot stages because they focus on technology rather than organisation. There is a critical need for leaders who understand how to structure teams, design workflows and manage the tensions that AI introduces.The Oxford Programme in Organising for AI addresses this by providing the frameworks to diagnose readiness and deploy responsibly. You will move beyond the hype to understand the specific organisational changes required to make AI work. This capability is essential for any leader aiming to drive value from AI investments in a sustainable way.

Syllabus

Introduction - Organising for AI
Module 1 - Understanding AI gaps and paradoxes: This focuses on understanding AI gaps and paradoxes through a diagnose unit where learners reflect on digital transformation and AI within their own context, complete task 1 and task 2 comparing reasoning and text generation, participate in a structured comparison exercise and engage in an interactive mentimeter activity.
Module 1 - Unit 2: Learn: This module provides a foundational understanding of how AI works, introduces the role of AI in organisations, examines key gaps and paradoxes shaping adoption and impact and outlines core organising principles for deploying AI responsibly, effectively and at scale.
Module 1 - Unit 3: Discover: This covers red/green/opportunity zones, task level automation analysis and a comparison with index.
Module 1 - Unit 4: Apply: This focuses on creating your AI blueprint by examining organisational structures, defining roles, skills and training requirements and developing informed recommendations and analysis.
Module 1 - Unit 5: Develop (optional): Journals and reading resources are provided to support further learning.
Module 2 - Deploying AI with the CIPHER framework: Starts with Unit 1 which includes a reflection activity, real versus synthetic video identification and a prompt writing evaluation.
Module 2 - Unit 2: Learn: This covers introducing the CIPHER framework, exploring organisational tensions that arise in human–AI systems and applying CIPHER to real tasks within organisational and operational contexts.
Module 2 - Unit 3: Discover: This focuses on applying the 2×2 model to a real task.
Module 2 - Unit 4: Apply: The formative project focuses on strategic implementation planning and includes a strategic brief, reflection and peer review.
Module 2 - Unit 5: Develop (optional): Journals and reading resources are provided to further learning.
Module 3 - Prototyping AI tools with awareness: Starts with Unit 1, which includes reflection on your experience of coding, a self-assessment activity to evaluate your confidence with code and AI tools and a glossary of useful terminology for prototyping.
Module 3 - Unit 2: Learn: Covers prototyping in an organisational context and defines prototypes as learning devices linked to organisational tensions. Explores vibe coding as an exploratory practice followed by ideation to sketch your prototype concept from the strategic implementation brief. Concludes with testing and validation including UX testing.
Module 3 - Unit 3: Discover: Create a prototype for your green task.
Module 3 - Unit 4: Apply: This includes Project 3: Strategically aligned prototyping, comprising a prototype set and a reflective commentary.
Module 3 - Unit 5: Develop (Optional): Includes journals and further reading course conclusion and bibliography.