AI Workshops
THE CHALLENGE

The design and engineering team I worked with wanted to improve workflows for our parent company, which owned a wide range of businesses. We saw a real opportunity to build an AI transformation workstream that could flex across very different contexts.

THE INTERVENTION

The workstream needed to be both experimental and a proof of concept. We created a rapid programme, starting with a design-led discovery phase (which I led), followed by a focused tech discovery. The design programme allowed us to identify high impact areas for AI in each business, co-created the AI solutions with real context and team input, and enabled the engineering team to quickly pick up and build. We were able to repeat the process in completely different businesses and teams.

YEAR

2024

YEAR

2024

ROLE

Design Workshops

COLLABORATORS

DCX, Paragon businesses

COLLABORATORS

DCX, Paragon businesses

Process highlights

CONTEXTUAL DISCOVERY

This phase was about quickly grasping the business context and identifying relevant dynamics. I worked with stakeholders to select participants, then ran interviews across teams to surface insights. As part of the experiment, I used AI tools to extract high-level patterns, though I found the insights remained quite generic.


Workshop design

The AI workshop format was built using a design toolkit I had previously created to help teams craft thoughtful, structured sessions. I then designed an AI workshop for a client. When this brief came on, I redesigned the template to be reusable across contexts, while making sure participants walked away with a clear understanding of what AI is, and what it could do for them.

The workshop

  • Breaking Down AI: Our first attempt used a slide presentation and Q&A format, which proved passive. We pivoted to a discussion-based approach, creating space for participants to admit gaps in their knowledge and engage with examples tailored to their world.

  • Understanding Business Challenges: Interview insights were reframed as challenge statements and simple process maps. These were refined and prioritised with the group.

  • Assessing AI Opportunities: In teams, participants selected one challenge and two opportunities, then mapped their potential impact.

  • Bringing It to Life: Each team envisioned how their chosen AI opportunity might work in practice. The teams then had to use an AI presentation tool to communicate their designs.

My Workshop Design Toolkit

Snippets from the first version of the AI wokrshop, run with an HR data organisation, WTW.

Snippets from AI Workshops run with a Legal company and a Warehouse operations company, 2025.

AI Workshops
THE CHALLENGE

The design and engineering team I worked with wanted to improve workflows for our parent company, which owned a wide range of businesses. We saw a real opportunity to build an AI transformation workstream that could flex across very different contexts.

THE INTERVENTION

The workstream needed to be both experimental and a proof of concept. We created a rapid programme, starting with a design-led discovery phase (which I led), followed by a focused tech discovery. The design programme allowed us to identify high impact areas for AI in each business, co-created the AI solutions with real context and team input, and enabled the engineering team to quickly pick up and build. We were able to repeat the process in completely different businesses and teams.

YEAR

2024

YEAR

2024

ROLE

Design Workshops

ROLE

Design Workshops

COLLABORATORS

DCX, Paragon businesses

Process highlights

CONTEXTUAL DISCOVERY

This phase was about quickly grasping the business context and identifying relevant dynamics. I worked with stakeholders to select participants, then ran interviews across teams to surface insights. As part of the experiment, I used AI tools to extract high-level patterns, though I found the insights remained quite generic.


Workshop design

The AI workshop format was built using a design toolkit I had previously created to help teams craft thoughtful, structured sessions. I then designed an AI workshop for a client. When this brief came on, I redesigned the template to be reusable across contexts, while making sure participants walked away with a clear understanding of what AI is, and what it could do for them.

The workshop

  • Breaking Down AI: Our first attempt used a slide presentation and Q&A format, which proved passive. We pivoted to a discussion-based approach, creating space for participants to admit gaps in their knowledge and engage with examples tailored to their world.

  • Understanding Business Challenges: Interview insights were reframed as challenge statements and simple process maps. These were refined and prioritised with the group.

  • Assessing AI Opportunities: In teams, participants selected one challenge and two opportunities, then mapped their potential impact.

  • Bringing It to Life: Each team envisioned how their chosen AI opportunity might work in practice. The teams then had to use an AI presentation tool to communicate their designs.

My Workshop Design Toolkit, 2022

Snippets from a one off AI Workshop created for another project, 2024

Snippets from AI Workshops run with a Legal company and a Warehouse operations company, 2025.

AI Workshops
THE CHALLENGE

The design and engineering team I worked with wanted to improve workflows for our parent company, which owned a wide range of businesses. We saw a real opportunity to build an AI transformation workstream that could flex across very different contexts.

THE INTERVENTION

The workstream needed to be both experimental and a proof of concept. We created a rapid programme, starting with a design-led discovery phase (which I led), followed by a focused tech discovery. The design programme allowed us to identify high impact areas for AI in each business, co-created the AI solutions with real context and team input, and enabled the engineering team to quickly pick up and build. We were able to repeat the process in completely different businesses and teams.

YEAR

2024

YEAR

2024

ROLE

Design Workshops

COLLABORATORS

DCX, Paragon businesses

COLLABORATORS

DCX, Paragon businesses

Process highlights

CONTEXTUAL DISCOVERY

This phase was about quickly grasping the business context and identifying relevant dynamics. I worked with stakeholders to select participants, then ran interviews across teams to surface insights. As part of the experiment, I used AI tools to extract high-level patterns, though I found the insights remained quite generic.


Workshop design

The AI workshop format was built using a design toolkit I had previously created to help teams craft thoughtful, structured sessions. I then designed an AI workshop for a client. When this brief came on, I redesigned the template to be reusable across contexts, while making sure participants walked away with a clear understanding of what AI is, and what it could do for them.

The workshop

  • Breaking Down AI: Our first attempt used a slide presentation and Q&A format, which proved passive. We pivoted to a discussion-based approach, creating space for participants to admit gaps in their knowledge and engage with examples tailored to their world.

  • Understanding Business Challenges: Interview insights were reframed as challenge statements and simple process maps. These were refined and prioritised with the group.

  • Assessing AI Opportunities: In teams, participants selected one challenge and two opportunities, then mapped their potential impact.

  • Bringing It to Life: Each team envisioned how their chosen AI opportunity might work in practice. The teams then had to use an AI presentation tool to communicate their designs.

My Workshop Design Toolkit, 2022

Snippets from the first version of the AI wokrshop, run with an HR data organisation, WTW.

Snippets from AI Workshops run with a Legal company and a Warehouse operations company, 2025.