How is the programme delivered?

Designed specifically for working professionals, this cohort-led programme combines self-paced learning, interactive expert engagement, and structured academic support. The journey begins with a Teaching Assistant(TA) led induction session, followed by flexible, pre-recorded video lectures delivered by Oxford Saïd faculty to build core knowledge. Learners participate in live online masterclasses hosted by Oxford and industry experts. Beyond live delivery, the curriculum features hands-on projects assisted by TA and structured assessments. To ensure continuous support, a dedicated Simplilearn TA moderates group discussions, fosters peer collaboration, and resolves academic queries through the dedicated forum.

How is the programme assessed?

There are two types of assessment. The first is a summative quiz – autograded-graded and a necessary component in unlocking your programme certificate. The second is a formative project, which is highly recommended, as it brings together your learning by applying ideas from across modules. Formative projects are often peer-reviewed with additional feedback from TAs (if applicable).

Will I interact with other participants?

You will join a cohort of experienced professionals from diverse backgrounds. Peer interaction is encouraged through discussion forums, allowing you to network, share industry perspectives and learn from your global colleagues.

How much time should I dedicate each week?

Plan to set aside regular time each week to review the modules and complete the reflection, discussion and project work.

Do I need a technical background?

No, you do not need coding skills or a technical background. The programme focuses on the organisational, strategic and human dimensions of AI. Familiarity with your organisation's workflows and decision-making structures is more important than technical expertise.

What is the CIPHER framework?

The CIPHER framework is a diagnostic tool developed by Professor Daniel Armanios. It helps you assess readiness across six dimensions: Cognitive, Informational, Projection, Haptic, Exchange and Resource. You will use it to identify tensions and plan your deployment strategy.

What is the refund policy?

To qualify for a refund, you must submit your refund request within 7 days from the start date of the regular class (Live or Recorded, as the case may be), whether attended or not. Any refund request failing to meet this requirement will not be accepted and no refund will be provided.

Who is the ideal candidate for this programme?

The programme is designed for senior professionals with at least seven years of experience. It is ideal for those in leadership roles who need to define strategy, operating models and governance for AI adoption rather than just technical implementation.

What support will I receive?

You will have access to a dedicated enrolment advisor for administrative support and will receive academic guidance from faculty during live sessions.

How does the programme address workforce transition?

You will analyse the 'skills and effort gap' and learn to design roles that allow humans to work effectively alongside AI, preventing de-skilling.

Can I change my cohort after enroling in the programme?

Yes. You are eligible for one complimentary cohort change within the first 30 days of your enrolment. If you cannot continue in your current cohort or have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

Oxford Course in Organising for AI | Strategic AI Adoption & Prototyping

Application closes on
19 Sep, 2026
Program Duration
12 weeks 2-4hrs / Week
Learning Format
Live, Online, Interactive

Why Join this Program

Oxford Saïd Advantage
Led by Professor Daniel Armanios and Associate Professor Seth Flaxman

Led by Professor Daniel Armanios and Associate Professor Seth Flaxman
Organisational diagnosis
Analyse structures and workflows to find the gaps limiting AI adoption
Responsible deployment
Use the CIPHER framework to plan effective, well-governed AI rollout
Prototype without code
Build AI tools tailored to your organisation's specific needs

Corporate Training

Enroll your employees into this program, NOW!

Talk to Our Advisor

Program Overview

Designed for senior professionals, this 12-week programme focuses on organisational challenges of AI. You will identify gaps and tensions arising when AI meets human workflows. Through reflection and experimentation, you will learn to diagnose readiness and deploy AI responsibly.

Key Features

Develop an AI Blueprint to define the structures, roles and skills your organisation needs during live interactive sessions with Oxford experts and Industry veterans
Earn a certificate of completion from Saïd Business School, University of Oxford
Participate in peer to peer discussion for a comprehensive learning experience
Join the Oxford Saïd Elumni network and access a community of over 50,000 peers
Study a curriculum that blends organisational theory with hands-on AI experimentation
Use the Green/Red/Opportunity zone model to identify where AI adds value
Apply the CIPHER framework to diagnose readiness across six critical dimensions
Prototype AI-enabled tools with an awareness of human factors and ethical risks
Understand the specific challenges of agentic systems that can execute complex workflows
Learn to communicate clearly across technical and non-technical stakeholders
Study the ethical dimensions of AI to support responsible deployment

Post Graduate Program Advantage

Saïd Business School, University of Oxford, is ranked first globally by Times Higher Education for ten consecutive years. Transforming individuals, who transform businesses, which transform the world – is what we mean by impact from within.

Illustrative certificate only
Oxford Saïd certificate
- Earn a certificate of completion from Saïd Business School
- Gain Elumni status and join a 50,000+ professional network
- Access a curriculum developed by top academics in the UK

Program Details

This 12-week programme comprises three comprehensive modules that guide you from diagnosis to deployment. The curriculum combines organisational theory with hands-on experimentation, ensuring you can apply concepts directly to your context.

Learning Path

Introduction - Organising for AI
Module 1 - Understanding AI gaps and paradoxes
Unit 1: Diagnose
- Reflection: Digital transformation and AI in your context
  – Task 1 & Task 2 (GenAI reasoning vs text generation)
  – Comparison exercise
  – Mentimeter activity
Module 1 - Unit 2: Learn
- Lesson 1: How AI works – a primer
- Lesson 2: Introduction to AI in organisations
- Lesson 3: Identifying gaps and paradoxes
- Lesson 4: Organising principles for AI
Module 1 - Unit 3: Discover
- Red/green/opportunity zones
- Task-level automation analysis
- Comparison with index
Module 1 - Unit 4: Apply
Create your AI Blueprint
- Organisational structures
- Roles, skills, training
- 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
Unit 1: Diagnose

Reflection activity
- Real vs synthetic video identification
- Prompt-writing evaluation
Module 2 - Unit 2: Learn
- Lesson 1: Introducing CIPHER
- Lesson 2: Navigating organisational tensions
- Lesson 3: Applying CIPHER to real tasks
Module 2 - Unit 3: Discover
Applying the 2×2 model to a real task
Module 2 - Unit 4: Apply
Formative Project: Strategic Implementation Planning
- Strategic brief
- Reflection
- Peer review
Module 2 - Unit 5: Develop (optional)
Journals and reading resources are provided to further learning.
Module 3 - Prototyping AI tools with awareness
Unit 1: Diagnose
● Reflection: your experience of coding
● Self-assessment activity: confidence with code and AI tools
● Glossary: useful terminology for prototyping
Module 3 - Unit 2: Learn
- Lesson 1: Introduction
- Lesson 2: What are prototypes?
- Lesson 3: What is vibe coding?
- Lesson 4: Ideation and brainstorming
- Lesson 5: Testing and validation
Module 3 - Unit 3: Discover
Create a prototype for your green task.
Module 3 - Unit 4: Apply
Project 3: Strategically aligned prototyping
- Prototype set
- Reflective commentary
Module 3 - Unit 5: Develop (Optional)
- Journals and further reading
- Course conclusion
- Bibliography

Electives:

University speaker session
Live, online, interactive sessions led by Oxford experts
Industry expert session
Live, online, interactive sessions led by industry experts

Programme Syllabus

9+ Skills Covered

AI strategy and adoption
Organisational governance
Rapid prototyping
CIPHER framework application
Agentic systems management
Ethical AI deployment
Strategic implementation
Organisational diagnosis
Workforce transition

Projects covered

Project 1
AI blueprint
Define organisational structures, roles, skills, training and governance in your AI blueprint
Project 2
Strategic implementation plan
Create a strategic brief using the CIPHER framework to analyse specific implementation challenges and tensions
Project 3
AI tool prototype
Prototype an AI tool for a specific workflow, identifying stakeholders and iterating on the design

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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Program Advisors and Trainers

Program Advisors

Daniel Armanios
BT Professor of Major Programme Management
BT Professor and Chair of Major Programme Management at Saïd Business School, with expertise in organisational theory, innovation systems and infrastructure.
Seth Flaxman
Associate Professor of Computer Science in Artificial Intelligence (AI)
Associate Professor of Computer Science in Artificial Intelligence (AI) at the University of Oxford working on statistics and machine learning applied to public policy and social science.

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Program Trainers

Paul Forrest
20+ years of experience
AI, Data & Investment Specialist
John Hauxwell
25+ years of experience
Founder | Data and AI Advisory Service

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Industry trends

Generative AI is transforming industries with massive economic impact and rising investment momentum.

USD 4.4 trillion

Estimated annual value that generative AI could add to the global economy

Source: McKinsey

92%

Executives planning to increase AI investment in 3 years

Source: McKinsey

15%

Projected labour productivity growth from generative AI

Source: Goldman Sachs

Companies hiring

Batch Profile

This programme caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

Industry
The class consists of learners from excellent organizations and diverse industries
Industry
Finance & Services - 24%Consulting & Ventures - 23%Technology & Digital - 18%Industrial & Ops - 18%Consumer & Health - 17%
Companies
Work Experience
The cohort brings together senior leaders from diverse industries and functions.
Cohort Profile
CXO & Business Leaders - 22%Senior Management - 26%Functional Leaders - 22%Consultants - 15%Tech Professionals - 15%
Total Years of Experience
7 - 10 Years - 20%11 - 14 Years - 26%15 - 18 Years - 30%19+ Years - 24%

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Apply for the programme by completing a simple online application form

STEP 2

Reserve Your Seat

An admissions panel will review your application

STEP 3

Start Learning

The selected candidates can pay the programme fee to secure their seats

Eligibility Criteria

This programme is designed for leaders with seven or more years of experience:

Heads of digital transformation and innovation

CTOs, chief digital officers and product directors

Strategy and management consultants

Admission Fee & Financing

The admission fee for this program is $3,390

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$3,390

Pay In Installments, as low as

$339/month

You can pay monthly installments using our payment partners with low APR and no hidden fees.

Admission Closes on :

Apply now

Apply Now

Program Benefits

Earn an Oxford Saïd certificate of completion
Join the global Elumni network
Master organisational diagnosis
Learn from Oxford experts
Prototype responsible AI tools

Program Cohorts

Next Cohort

Oxford Programme In Organising for AI Cohort 04
- Date
  Time
- Program Induction
  2 Oct, 2026
  08:30 CDT
- Cohort Duration
  3 Oct, 2026 - 26 Dec, 2026
- Apply Now

Got Questions Regarding Cohort Dates?

FAQs

How is the programme delivered?
Designed specifically for working professionals, this cohort-led programme combines self-paced learning, interactive expert engagement, and structured academic support.

The journey begins with a Teaching Assistant(TA) led induction session, followed by flexible, pre-recorded video lectures delivered by Oxford Saïd faculty to build core knowledge. Learners participate in live online masterclasses hosted by Oxford and industry experts. Beyond live delivery, the curriculum features hands-on projects assisted by TA and structured assessments. To ensure continuous support, a dedicated Simplilearn TA moderates group discussions, fosters peer collaboration, and resolves academic queries through the dedicated forum.
How is the programme assessed?
There are two types of assessment. The first is a summative quiz – autograded-graded and a necessary component in unlocking your programme certificate. The second is a formative project, which is highly recommended, as it brings together your learning by applying ideas from across modules. Formative projects are often peer-reviewed with additional feedback from TAs (if applicable).
Will I interact with other participants?
You will join a cohort of experienced professionals from diverse backgrounds. Peer interaction is encouraged through discussion forums, allowing you to network, share industry perspectives and learn from your global colleagues.
How much time should I dedicate each week?
Plan to set aside regular time each week to review the modules and complete the reflection, discussion and project work.
Do I need a technical background?
No, you do not need coding skills or a technical background. The programme focuses on the organisational, strategic and human dimensions of AI. Familiarity with your organisation's workflows and decision-making structures is more important than technical expertise.
What is the CIPHER framework?
The CIPHER framework is a diagnostic tool developed by Professor Daniel Armanios. It helps you assess readiness across six dimensions: Cognitive, Informational, Projection, Haptic, Exchange and Resource. You will use it to identify tensions and plan your deployment strategy.
What is the refund policy?
To qualify for a refund, you must submit your refund request within 7 days from the start date of the regular class (Live or Recorded, as the case may be), whether attended or not. Any refund request failing to meet this requirement will not be accepted and no refund will be provided.
Who is the ideal candidate for this programme?
The programme is designed for senior professionals with at least seven years of experience. It is ideal for those in leadership roles who need to define strategy, operating models and governance for AI adoption rather than just technical implementation.
What support will I receive?
You will have access to a dedicated enrolment advisor for administrative support and will receive academic guidance from faculty during live sessions.
How does the programme address workforce transition?
You will analyse the 'skills and effort gap' and learn to design roles that allow humans to work effectively alongside AI, preventing de-skilling.
Can I change my cohort after enroling in the programme?
Yes. You are eligible for one complimentary cohort change within the first 30 days of your enrolment. If you cannot continue in your current cohort or have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.