Seminar's Overview
This intensive two-day programme provides participants with a practical methodology that combines Design Thinking with Generative AI to solve complex business challenges, uncover deeper insights, and accelerate innovation. Through interactive workshops, case studies, hands-on exercises, and live demonstrations, you will learn how to analyse user needs, synthesise data, generate ideas, and rapidly prototype new products and services using leading GenAI tools. Every skill is immediately applicable.
Seminar’s Goals
By the end of the training, participants will be able to:
- Apply Design Thinking frameworks from MIT and Columbia University to complex organisational problems.
- Navigate the MIT four step framework of Identify, Analyse, Conceptualise and Create, from need detection to prototype delivery.
- Use the Anthropic 4D AI Fluency Framework for effective, efficient, ethical and safe collaboration with AI.
- Harness Generative AI for data synthesis, insight generation, ideation and rapid prototyping.
- Design experiments that validate business hypotheses and real user needs.
- Organise high intensity Design Sprints that compress months of development into a single week.
- Select the right tools and processes for customer discovery and primary market research (qualitative and quantitative research).
- Reframe AI as a creative partner and build an experimental, innovation driven mindset across multidisciplinary teams.
Participants*
Designed for professionals in managerial or supervisory positions: customer experience, customer service, technology, operations and marketing managers, and executives responsible for experience, product and service design, sales and performance.
All participants should be currently employed.
*The number of participants is restricted to 28.
** The maximum number of participants per company is 3.
Agenda
1. Module 1: Foundations of Creativity, Innovation, and Design (2 h)
This module establishes the theoretical foundation for innovation by examining human creativity and the strategic impact of design. Participants learn to transition from theoretical ideation to a testing culture.
- How human creativity works and what drives novel solutions.
- The myths that block creative work, including the lone genius fallacy.
- The main types of innovation and their impact on organisational growth.
- Design as a core driver of business value and competitive advantage.
2. Module 2: Tools and Techniques for Creative Problem Solving (2 h)
This session provides practical tools to manage creative workflows, focusing on structured methodologies for creative problem solving and international best practices.
- Morphological analysis for exploring every possible solution path.
- SCAMPER (Substitute, Combine, Adapt, Modify, Put to another use, Eliminate, and Reverse) for iterating on existing products and services.
- Grid brainstorming for organising high volumes of ideas.
- AI driven ideation: Large Language Models as creative partners that bypass creative blocks and accelerate data synthesis.
3. Module 3 (Part 1): Design Thinking Frameworks and AI Integration (Practical exercise) (1 h & 30 min)
This session examines specialised frameworks from leading global institutions to support market success and promote the ethical and effective use of AI.
- The MIT Design Thinking process for discovering the need, defining the problem, designing the concept, prototyping, and verifying.
- Columbia's discovery model: What Is, What If, What Wows, What Works, that allows participants to learn how to reframe organizational challenges, to provide a structured Design Thinking discovery process and to uncover hidden user needs.
- The Anthropic 4D AI Fluency Framework for effective and ethical human AI collaboration.
- The human in the loop principle for accuracy and safety within automated business processes.
4. Module 3 (Part 1 Continued): Design Thinking Frameworks and AI Integration (Practical exercise) (1 h & 30 min)
This session examines specialised frameworks from leading global institutions to support market success and promote the ethical and effective use of AI.
- The MIT Design Thinking process for discovering the need, defining the problem, designing the concept, prototyping, and verifying.
- Columbia's discovery model: What Is, What If, What Wows, What Works, that allows participants to learn how to reframe organizational challenges, to provide a structured Design Thinking discovery process and to uncover hidden user needs.
- The Anthropic 4D AI Fluency Framework for effective and ethical human AI collaboration.
- The human in the loop principle for accuracy and safety within automated business processes.
Day 2
5. Module 3 (Part 2): Design Thinking Frameworks and AI Integration (Practical exercise) (2 h)
This module focuses on the intersection of human centric research and AI to validate business assumptions.
- Customer discovery methods and the identification of the “Jobs to be Done” by users, ensuring that tech products solve actual functional or emotional needs.
- Testable business hypotheses that expose high risk assumptions early.
- Exploratory data analysis and data synthesis to uncover patterns in user behaviour.
- Hands on exercise: analyse 50 user interviews and 500 incident reports to extract the priority high-value features for the SecurePath mobility conceptual app.
6. Module 3 (Part 2 Continued): Design Thinking Frameworks and AI Integration (Practical exercise) (2:30)
This module focuses on the intersection of human centric research and AI to validate business assumptions.
- Customer discovery methods and the identification of the “Jobs to be Done” by users, ensuring that tech products solve actual functional or emotional needs.
- Testable business hypotheses that expose high risk assumptions early.
- Exploratory data analysis and data synthesis to uncover patterns in user behaviour.
- Hands on exercise: analyse 50 user interviews and 500 incident reports to extract the priority high-value features for the SecurePath mobility conceptual app.
7. Module 4: The Design Sprint and Rapid Prototyping (2 h)
Participants learn the Design Sprint methodology to reduce risk when launching new products or services.
- The five sprint phases: Map, Sketch, Decide, Prototype, Test.
- Low fidelity prototypes built with AI at record speed.
- Testing with real users for immediate feedback.
- Deciding when to iterate and when to pivot.
8. Module 4: The Design Sprint and Rapid Prototyping (30 min)
- Open forum for participant questions.
- Summary of key learnings and next steps for your business.
Follow-up Consultation Session
Attendance of at least 90%, plus a compulsory 4-hour follow-up workshop, is required for HRDA subsidy eligibility. The workshop takes place with each participating company on a mutually agreed date within 4 months of the training. It applies the programme directly to your organisation through a four-step approach: structure analysis, activity mapping, problem identification and theoretical integration. Working with role and sector specific case studies, the trainer coaches your team on innovation leadership and helps develop ideas, strategic analyses and product or service prototypes tailored to your needs.
Services
Our services include:
- Handouts, including the hard copy presentation, examples, case studies, exercises, and additional notes, if applicable.
- Stationery, such as pads, pens, and files.
- Drinks (coffee, tea, etc.) and a buffet lunch.
- A fully equipped training room with WiFi access.
- Certificate of completion.
Registration & Contact
If you wish to register for the seminar, please complete the registration form.
Once your registration is submitted, you will receive an email stating how to proceed with your HRDA registration through the Ermis platform. Upon completion of this step, you will receive a confirmation email which will include the participation fee, including any discounts, if applicable. Kindly note that the payment should be settled at least two days prior to the seminar’s date for your registration to be confirmed.
The programme has been approved by the HRDA. Enterprises participating with their employees who satisfy HRDA’s criteria, are entitled to subsidy. Please note that there are limited seats available, therefore enroll in this seminar as soon as possible.
If you do not receive our confirmation e-mail regarding your registration, your participation cannot be guaranteed.
Cost
€1800 + VAT (19) for all participants who are non-eligible for the HRDA subsidy. Special discounts may apply.
100% subsidised by HRDA as a “Vital Importance Training” and offered free of charge for all eligible participants.
Participants should only proceed with settlement of payment if they are aware, prior to the training, that they are not eligible.
If, after the subsidy claim stage, the HRDA refuses to grant the subsidy for any participant—due to reduced attendance hours, de minimis limits, or any other reason—then the cost must be covered by those participants.
HDRA Note
All individuals who wish to attend our HRDA approved training courses should not only fill out our registration form, but also complete the registration process through the ERMIS platform. Regardless of whether they are claiming the HRDA subsidy or not, each participant will need to complete their registration through ERMIS as a physical person and then register to our training in order to be able to attend (either as an employee whose company is claiming the subsidy or as an individual who is not claiming the subsidy). Please reach out to the HRDA Ermis officers on 22 390 300 for more details regarding the registration as a physical person.
Contact
For any queries, please contact KPMG Academy on +357 22 207 460 or at academy@kpmg.com.cy
CPD
This seminar may contribute to Continuing Professional Development requirements. At the end of the seminar participants will be given a certificate of attendance confirming the total number of training hours (18 CPD).
Trainers
Dr. Fotis Filippopoulos
Lead KPMG Intelligence Lab and Award Winning Corporate Innovation Expert
As Lead of the KPMG Intelligence Lab, Dr Fotis Filippopoulos enables organisations to cultivate their capacity for innovation, accelerate learning, and drive the successful adoption of Artificial Intelligence. He served as a visiting professor of industrial skills at the Politecnico di Milano doctoral school for five years and taught innovation at the International Hellenic University for 14 years. With over twenty years of experience, he has advised leaders across 18 countries, led globally recognised research projects, and contributed to European Commission industrial policy. Whether in boardrooms, laboratories, or on global stages, he focuses on simplifying complexity and building organisational capabilities that keep pace with technological evolution. Executives working with Dr Filippopoulos gain access to a unique combination of strategic foresight, academic rigor, and global perspective, ideal for those seeking a competitive edge.
Awarded the Highly Commended Award for Best Provision of Industry Information and Intelligence at the 2017 European Association Awards in Brussels for the GRACE16 global research project (Global Research on Augmented Collaborative Economy 2016, with the participation of 110 cooperatives from 47 countries). GRACE16 was powered and co-branded by Siccob (Brazil), DZ Bank (Germany), and Desjardins (Canada), translated into six languages, and presented at the 2016 International Summit of Cooperatives in Quebec City and the 2017 World Credit Union Conference in Vienna. GRACE16 is archived at HEC Montréal's CoopGateway, the world's largest digital library for cooperatives.
The programme has been approved by the HRDA. Enterprises participating with their employees who satisfy HRDA’s criteria, are entitled to subsidy.
