Turn AI opportunities into practical implementation projects
Explore technology choices, vendor evaluation, integration and project delivery. Build the foundations for an AI pilot that connects business priorities with data, systems and adoption.
AI Technology, Vendors & Implementation Lab
From use case to working project.
A practical module for fashion professionals who want to evaluate AI solutions, plan integrations and define a pilot project with clear business objectives, success metrics and human oversight.
Module overview
Module 7 connects AI technology decisions with the work required to deliver a useful business project. Explore when to build, buy or partner, how to assess vendors and how AI fits within a fashion company’s systems.
Day 1 covers platforms, cloud, APIs and integrations with ERP, PIM, DAM, CRM, CDP, ecommerce and BI tools. Topics include data readiness, architecture, cybersecurity, shadow AI, access control, contracts and scalability. A structured checklist supports vendor evaluation.
Day 2 focuses on project management, business cases, ROI, KPIs, prototyping and pilots. Explore change management, governance and the opportunities and risks of vibe coding and no-code or low-code prototyping. Develop an AI opportunity map, prototype a use case or define its pilot specification, and produce an AI pilot project brief.
Module key facts
Dates
8 and 15 January 2027
Live online + 12-month replay
Duration
6 teaching hours across two sessions
Session times
15:00–18:00 on both days
Timezone to be confirmed: the supplied programme uses CEST in its time column headings.
Language
English – English subtitles. Other languages available on demand.
Practical output
AI pilot project brief, supported by vendor evaluation and an AI opportunity map
Enrolment
Contact us for module availability, fees and enrolment details.
Learning outcomes
By the end of this module, you will be able to:
- Compare delivery options: assess build, buy and partner approaches for an AI use case.
- Evaluate vendors: use a structured checklist to support procurement and due diligence.
- Understand integration needs: relate platforms, cloud and APIs to fashion enterprise systems.
- Assess implementation readiness: identify data, architecture, security and access-control considerations.
- Consider vendor management: review contracts, SLAs, ownership and scalability.
- Frame an AI business case: define ROI, KPIs, success metrics and adoption metrics.
- Plan a pilot: connect agile delivery, prototyping and MVPs with decisions to stop, iterate or scale.
- Support responsible adoption: consider change management, bias, governance and validation.
- Create a project brief: map opportunities and prototype a use case or define its pilot specification.
AI Technology, Vendors & Implementation Lab Programme
Two sessions connect systems and vendor selection with project management, business cases and prototyping.
Day 1: AI Systems, Platforms, Vendors and Integration
08 Jan 2027 — 3 hours
- Build vs buy vs partner
Instructor: Paolo Ciceri - How to select AI vendors and evaluate solutions. AI procurement and vendor due diligence
Instructor: Paolo Ciceri - Essential notions of AI systems: platforms, cloud, APIs and integrations
Instructor: Mauro Baldoni - Integration with ERP, PIM, DAM, CRM, CDP, ecommerce platforms and BI tools
Instructor: Mauro Baldoni - Data readiness and system architecture + Practice lab: evaluate an AI vendor using a structured checklist
Instructor: Mauro Baldoni - Cybersecurity, shadow AI, access control and company policies
Instructor: To be confirmed - Vendor management: contracts, SLAs, ownership and scalability
Instructor: To be confirmed
Day 2: AI Project Management, Business Case and Prototyping
15 Jan 2027 — 3 hours
- AI project management: agile, prototyping, MVPs and pilots
Instructor: Danilo Blancato - How to build an AI business case
Instructor: Danilo Blancato - ROI, KPIs, success metrics and adoption metrics
Instructor: Danilo Blancato - From pilot to scale: when to stop, iterate or roll out
Instructor: To be confirmed - Change management and internal adoption
Instructor: Dennis Valle - Bias, governance and validation in implementation
Instructor: Dennis Valle - Vibe coding and no-code / low-code AI prototyping: opportunities and risks
Instructor: To be confirmed - Workshop: build an AI opportunity map for a fashion business
Instructor: To be confirmed - Learning activity: prototype an AI use case or define the pilot specification
Instructor: To be confirmed - Output: AI pilot project brief
Instructor: To be confirmed
Benefits of applying a structured approach to AI implementation
Connect business opportunities with the technology, partners and delivery practices they require.
- Make informed choices: compare build, buy and partner options.
- Strengthen vendor evaluation: consider due diligence, ownership, SLAs and scalability.
- Plan integrations: connect AI with existing systems and data foundations.
- Define success: link pilots to business outcomes and adoption metrics.
- Support adoption: consider people, governance and validation from the start.
Who is this module for?
Designed for fashion and luxury professionals planning or coordinating AI projects.
- Digital transformation and innovation managers.
- IT, technology, enterprise architecture and data professionals.
- Project managers and business analysts.
- Procurement teams and managers selecting AI vendors.
- Functional leaders and entrepreneurs defining AI pilots.
Why choose this module?
Move from an AI idea to a structured pilot proposal.
- Fashion systems context: explore integration with ERP, PIM, DAM, CRM, CDP, ecommerce and BI tools.
- Practical evaluation: assess an AI vendor with a structured checklist.
- Business and delivery focus: connect ROI, KPIs, prototypes and adoption.
- A useful output: develop an AI pilot project brief.
Learning experience & methodology
The module combines instructor-led sessions, vendor evaluation, an opportunity-mapping workshop and a prototyping or pilot-specification activity.
- Compare build, buy and partner approaches.
- Explore enterprise integrations, data readiness and security.
- Evaluate an AI vendor using a structured checklist.
- Define a business case, ROI and success metrics.
- Map AI opportunities for a fashion business.
- Prototype an AI use case or define its pilot specification.
Bring the results together in an AI pilot project brief.
Module instructors
Learn from technology and implementation specialists
Descriptions reflect the teaching assignments in the programme. Sessions without a named instructor are marked as to be confirmed.
Paolo Ciceri
Build, buy and partner decisions; AI vendor selection, procurement and due diligence.
Mauro Baldoni
AI systems, platforms, cloud, APIs, enterprise integrations, data readiness and vendor evaluation.
Danilo Blancato
AI project management, agile delivery, prototyping, MVPs, pilots, business cases, ROI and success metrics.
Dennis Valle
Change management, internal adoption, bias, governance and validation in implementation.
Executive Master in AI for Fashion
Build your skills within the Executive Master
This module forms part of the Executive Master in AI for Fashion. For certification requirements and any certificate available for standalone module participation, please contact Digital Fashion Academy.
Standalone module or full Executive Master
Choose this standalone module to develop focused capability in one area. Choose the full AI for Fashion Executive Master to connect use cases across the value chain and build an organisation-wide adoption roadmap.
Standalone module
Explore AI technology, vendor selection and implementation. Contact us for module availability, fees and enrolment details.
- 6 hours focused on AI Technology, Vendors & Implementation Lab
- Module fee: €490
- 12-month replay access
- Module materials, exercises and certificate
Explore the Executive Master
Build a broader understanding of AI across the fashion value chain with the Executive Master in AI for Fashion.
- 48 hours across 8 modules
- Integrated coverage of the fashion value chain
- Cross-functional portfolio
- Final AI Adoption Roadmap
- Programme fee: €2,150
- Three mentoring sessions
FAQs
When does Module 7 take place?
The sessions are scheduled for 8 and 15 January 2027, from 15:00 to 18:00. Please confirm the timezone with Digital Fashion Academy: the programme uses CEST in its time column headings.
How long is the module?
Six teaching hours across two sessions of three hours each.
Are the sessions recorded?
Yes. Sessions are delivered live online and recordings remain available for 12 months.
Will I practise applying the concepts?
Yes. The programme includes vendor evaluation using a structured checklist, an AI opportunity-mapping workshop and an activity to prototype a use case or define its pilot specification. The output is an AI pilot project brief.
Will I receive a certificate?
Participants who complete the module receive a module-specific certificate of attendance, distinct from the certificate for the full Executive Master.
Does the module cover vendor selection?
Yes. Day 1 covers build, buy and partner decisions, vendor due diligence, contracts, SLAs, ownership and scalability.
Does the module cover integrations and security?
Yes. Topics include platforms, cloud, APIs, enterprise systems, data readiness, architecture, cybersecurity, shadow AI and access control.
Does the module cover business cases and prototyping?
Yes. Day 2 includes business cases, ROI, KPIs, adoption metrics, pilots, MVPs and the opportunities and risks of vibe coding and no-code or low-code AI prototyping.
Do I need technical knowledge?
The module is designed for fashion professionals and business leaders. The learning activity allows participants to prototype an AI use case or define a pilot specification. A working knowledge of English is required.
What is included in the module fee?
Two live online sessions, 12-month recording access, learning materials, practical exercises and a module-specific certificate of attendance. Contact us to confirm fees and availability.
Is mentoring included?
The three individual mentoring sessions are included with the full Executive Master. Contact us for separate mentoring options.
Can I enrol in this module only?
Yes. Contact us using the form below for standalone module enrolment or team participation.
Where can I find the full Master programme?
Visit the Executive Master in AI for Fashion page.
AI Technology, Vendors & Implementation Lab — Contact us
Ask about Module 7, team participation or enrolment in the Executive Master in AI for Fashion.