✅ One Week, On-Site
✅ 4 cross-functional teams
✅ 4 Validated AI Use Cases
✅ 4 Functional AI Agent MVPs
✅ Facilitated by enterprise-tested expert
✅ With over 20+ years of experience

THE PROBLEM - THE EXECUTION GAP

Organizations don’t fail because they lack the vision. They fail in the missing middle - the gap between AI strategy and execution.
Goals are set, but no one knows where to start. AI is being adopted at individual level, not at scale; tools are scattered, experiments disconnected.
The Agentic AI Bootcamp is designed to close that gap.

The Outcomes

The Agentic AI Bootcamp is a hands-on, end-to-end experience where your teams move from vague AI mandates to tangible business results — in just 5 days. Working in 4 cross-functional teams, participants tackle real internal challenges and walk away with:

✅ 4 Validated AI Use Cases
✅ Strategic AI Skills & Applied AI Skills
✅ 4 Customer-Tested AI Prototypes
✅ 4 Functional AI Agent MVPs

The Skills

The Bootcamp builds two types of capability your organization needs to execute on AI: strategic and applied AI skills.
‍
Up to 28 participants are split into 4 cross-functional teams, each working on a real challenge from their part of the business unit (a business challenge they want to solve with AI).

Each team completes a full end-to-end cycle:

→ Frame a high-value AI opportunity
→ Design and prototype a solution
→ Test with real users to validate assumptions before committing resources
→ Build and demo a functional AI agent MVP using no-code/low-code tools
‍
Your teams don’t just gain knowledge — they leave with the confidence, language, and repeatable methods to run this process again across the organization.

Strategic AI Skills

✅ Identify and prioritize high-value AI use-cases
✅ Align cross-functional teams to business outcomes
✅ Prototype and test solutions with real users
✅ Build business cases that drive adoption

Applied AI Skills

✅ Understanding the capabilities and limitations of today’s AI tools.
✅ Designing effective prompts, workflows and integrate with real data, tools, and processes.
✅ Build functional AI agents using no-code/low-code tools
✅ Apply Responsible AI principles to ensure quality and compliance

Who is this program for?

This program is built for cross-functional teams: product, innovation, operations, transformation, data — any group expected to deliver on AI goals without waiting for external help.

→ Product Managers
→ Business & Innovation Teams
→ Data & AI Teams
→ Digital Transformation & Change Agents
→ Design & CX Teams
→ Agile Coaches & Corporate Consultants
+ No prior AI expertise is required.

Program Format

Day 1: AI Problem Framing

Teams identify, prioritize, and frame high-value AI opportunities aligned to business goals and user needs.

✅ Eliminate low-potential or vague ideas early
✅ Map the opportunity against customer journeys and workflows
✅ Align stakeholders around the most promising, high-impact challenge
✅ Synthesize everything into a clear AI Use Case Card — your team’s strategic brief for the week

⚡ Outcome: A focused, co-created AI use case — feasible, valuable, and aligned with strategy

Days 2–3: AI Design Sprint

Teams turn opportunities into solution concepts, prototypes, and user-tested insights.

✅ Break down the use case into critical moments to explore
✅ Generate multiple solution sketches and select the best approach
✅ Build a realistic AI prototype (not wireframes — simulation of AI behavior)
✅ Test with real users or internal stakeholders to validate or refine the direction

⚡Outcome: A customer-tested AI prototype, grounded in real feedback and use-case assumptions

Days 4–5: AI Build Lab

Teams build functional AI agents using no-code/low-code tools and evaluate readiness for deployment.

✅ Translate the prototype into a working AI agent
✅ Write meta-prompts and design intelligent behaviors
✅ Connect your AI agent to tools (Slack, spreadsheets, Google Drive, etc.)
✅ Define KPIs and apply a Responsible AI Assessment to ensure compliance
✅ Demo your agent and iterate based on team and peer feedback

⚡ Outcome: A functional, demo-ready AI Agent MVP — built by your team, with your data, for your context

Why It Works

Unlike hackathons, trainings, or outsourced consulting, this Bootcamp is built for speed, structure, and scale:

Other Formats

❌ AI Hackathons: Energy, excitement, and maybe cool AI prototypes. Innovation theater.
❌ AI Skills Training: Theory without application. Lectures. Engineers exclusive. AI certificate.
❌ Big Consulting Firms: Frameworks and Inspiration. Strategy behind closed doors. Polished slides. Big invoice.
❌ AI Accelerators: Centralized experiments built in isolation by innovation teams or external vendors. Often produce demos, not deployable tools. No internal ownership.

Agentic AI Bootcamp

✅ User-validated concepts + working MVPs.
✅ Tangible results and repeatable skills across cross-functional teams.
✅ Co-created solutions, built with your teams
✅ Solutions are built by your own cross-functional teams, for real business needs — validated, demo-ready, and owned internally.

The Changes You’ll See In Your Organization

⚡ No more random pilots — every use case has a clear business case.
⚡ No more guesswork — teams know how to break down vague mandates into focused AI use cases.
⚡ Every AI initiative is framed, validated, and tied to business outcomes.
⚡ Non-technical team members can build and iterate AI agents.
⚡ No more stakeholder misalignment — everyone’s building in the same direction.
⚡ Teams use a repeatable, scalable process to tackle new challenges.
⚡ Teams have all the inputs needed to write solid PRDs

Request in-house bootcamp

WHAT IS AN AI DESIGN SPRINT HACKATHON?

A three-day collaborative event where teams use AI tools to rapidly turn ideas into functional AI solutions. Guided by AI coaches, participants prototype and test directly with customers to ensure real-world impact.

What sets it apart?

Unlike regular innovation events, the AI Design Sprint Hackathon focuses on:

✅ Strategically Chosen Challenges: Work on problems that matter to your business and employees.
✅ Functional AI Solutions: Move beyond mockups to create working AI solutions ready for testing.
✅ AI Coaches Ensuring Feasibility: Leverage AI expertise during prototyping for accelerated development.
✅ Design Sprint Facilitators Ensuring Human-Centricity: Foster deep empathy with users and ignite collaborative innovation.

How to Ensure AI Design Sprint Hackathons Succeed Every Time

Successful innovation events transform routine work into exciting projects, leaving participants inspired and eager for more. The AI Design Sprint Hackathon provides genuine purpose, making employees feel valued and showing that the event is a platform for real impact.

The approach

• Define the areas for AI Opportunities - Start with a strategic workshop involving senior leadership to identify the best areas for AI innovation within your organization.

• Identify Real AI Use Cases - Problem Framing: Through focused workshops, we uncover genuine AI use cases where innovation can make a meaningful impact on users’ lives.

• Use a Standardized Process - Design Sprint Methodology: In just 3 days, teams ideate, prototype, and validate AI solutions using a proven, replicable process.

• Leverage Domain and AI Expertise - Design Sprints tap into your team’s domain expertise, while AI coaches ensure ideas are feasible and practical.

Pre-Hackathon

AI Opportunity Mapping Workshop with Senior Leadership

The AI Opportunity Mapping Workshop is a one-day intensive session designed to educate your senior leadership team on AI capabilities, uncover potential business opportunities, and lay the groundwork for successful AI adoption.

✅ Enhanced Understanding of AI Capabilities and Limitations
✅ Defined AI Ambitions and Goals & Leadership Alignment
✅ Identification of Key AI Opportunities

⏰ Duration: 1 day

Problem Framing Workshop with Middle Management

Building on the insights from the AI Opportunity Mapping Workshop, the next step is a one-day Problem Framing Workshop designed specifically for middle management. This session focuses on diving deeper into a selected AI area of opportunity within a specific vertical of your organization.

✅ Three Clear Problem Statements
✅ Unified Understanding Across Stakeholders and Teams.

⏰ Duration: 1 day

Innovation Rally

Following the opportunity mapping, we organize an Innovation Rally—a 1-hour virtual session across the company to increase AI awareness, build excitement, and recruit employees interested in working on the selected challenges. This event energizes your workforce and encourages widespread participation in the AI initiatives.

✅ Recruitment of Sprint Teams
✅ Enthusiasm Around AI initiatives

⏰ Duration: 1-hour, online session

Teams Formation & Onboarding

We assemble three diverse, cross-functional teams, each consisting of 7-9 experts and an external AI expert. Each team then attends a 1-hour online integration session to familiarize themselves with the sprint’s process, mindset, and specific challenge.

✅ Assembled Diverse, Cross-Functional Teams
✅ Team Familiarity with Sprint Process and Mindset
✅ Clarified Roles and Responsibilities

⏰ Duration: 1-hour, online session

AI Foundations and Prompting Seminar

Teams learn about AI prompting best practices, AI potential and limitations during a 4-hour highly practical online session.

✅ Mastery of AI Prompting Best
✅ Hands-On Experience with AI Tools
✅ Preparation for AI Prototyping Phase

⏰ Duration: 4-hour, online session

3-Day AI Design Sprint Hackathon

Day 1 - Understand & Define

Teams focus on building a strong foundation by deeply understanding the problem space and defining their goals.

✅ A shared understanding of the problem space among team members.
✅ Detailed customer journey maps highlighting user needs and pain points.
✅ Clearly articulated long-term goals and sprint questions.

⏰ Duration: 8 hours

Day 2 - Ideate & Decide

On Day 2, the focus shifts to ideation and decision-making to transform understanding into actionable solutions.

✅ Selection of the most promising solution concepts.
✅ A detailed storyboard outlining the chosen solution.
✅ A clear plan for the AI prototyping process with assigned roles and gathered resources.

⏰ Duration: 8 hours

Day 3 - Prototype & Test

On Day 3, teams concentrate on bringing their solutions to life and validating them with real users.

✅ Fully developed functional AI prototypes.
✅ Direct feedback from real users through testing sessions.
✅ Refined solutions based on user insights.

⏰ Duration: 8 hours

Post-Hackathon

Pitching & Demo Session Across the Company

Following the hackathon, we organize a company-wide Pitching & Demo Session. This event provides an opportunity for teams to showcase their AI solutions to stakeholders, leadership, and employees across the organization.

✅ Showcases the AI initiatives and innovative efforts within the company.
✅ Leadership can evaluate solutions for potential investment and implementation.
✅ Teams receive constructive input to further refine their solutions.

⏰ Duration: 8 hours

Reporting

Following the hackathon and the company-wide Pitching & Demo Session, Design Sprint Facilitators conduct a thorough Reporting phase. This involves documenting the entire sprint process, capturing progress, outcomes, and testing results.

✅ Documentation ensures transparency of the process and accountability for the results achieved.
✅ The report serves as a knowledge base for the organization.
✅ Insights and data gathered can inform future hackathons, AI projects, and innovation strategies.

⏰ Duration: 3 days

Key results of the AI Design Sprint Hackathon

✅ Functional AI Prototypes ✅ Customer-tested Solutions ✅ Strategic Alignment ✅ Employee Engagement ✅ Enhanced AI Understanding ✅ Clear AI Use-Cases

Ready To Start? Let's Talk!

Unleash the full power of ChatGPT in your ideation sessions with the new DIY guided workshop! Packed with practical strategies, tips, and techniques, this guide is a must-read for anyone in the innovation, product, or startup space. Learn how to use ChatGPT to generate new ideas and solutions faster and more efficiently than ever before. Whether you’re a seasoned innovator or just starting out, this guide has everything you need to take your creativity to the next level.

What’s inside

A full comprehensive guide (equivalent to 180+ pages) filled to the brim with 125 prompts, tips, how-to’s, ideation tips, and a full case study transcript. With this guide there are no more excuses to up your ideation game using AI!

Every step of the way

The guide outlines using ChatGPT for the full ideation process from beginning to end. You’ll find all the prompts and examples you need, regardless of where you are in the process, including ideation, personas, customer journeys, and much more.

Full Case Study Transcript

With every step of a real world case study meticulously documented in a full transcript including all prompts, you’ll be able to replicate these winning strategies in your own ideation sessions. Get ready to immerse yourself in a world of creativity and innovation with ChatGPT!

Have a sneak peek…

Table of Contents

I know you’re bursting with curiosity to dive into the incredible insights, strategies, and tips that await you in this guide. That’s why I’ve put together a table of contents that gives you an impression of the treasures that lie ahead. From insider secrets to practical techniques, this guide is packed with valuable information that will help you take your skills to the next level. So go ahead, get ready to be blown away by what’s inside!

📖 1. Introduction
Man ❤️ Machine. Why do we need a computer for ideation? What’s generative AI? And what you’ll get out of this book

📖 2. Quick Start Guide to ChatGPT
Hands on with your first prompt, playing around, tips for better prompts, context, bias, and false information

📖 3. Ideation Process
The Double Diamond process as our guide through the case study

📖 4. Case Study: Sleeping Problems
Discover stage, Define stage, Develop stage, and Deliver stage

📖 5. Deep dive
Prompt programming, keeping the context clean, generating synthetic personas, avoiding bias, and using the ChatGPT api

📖 6. Ideation Techniques
Prompts for divergent thinking, convergent thinking and synthesizing information

📖 7. Bonus: Customer Validation
Customer validation, Value Proposition Canvas, Business Model Canvas, Pitch Deck Outline

📖 8. The Role of the Human
What is your role?

📖 A. Appendix
References, useful links, and more

What you’ll get

In above links, you’ll get a preview of the guide so that you can check out right away! The Free Preview of the guide contains the some parts of the guide so you’ll see immediately what the inside looks like.

Request Access

Frequently asked questions

You’ve got questions. Here are the answers.

🤷‍♂️ Who is this guide for?

This guide is for anyone who wants to learn how to use ChatGPT to generate new ideas and solutions in a fast and efficient way. Whether you’re a senior innovator, a creative professional, or simply someone who wants to explore the limits of creativity, this guide is packed with valuable insights and strategies that can help you take your skills to the next level.

🎁 What’s included in the guide?

The guide includes a full case study transcript of a real-world ideation process, complete with annotated prompts and ChatGPT responses. You’ll also get an in-depth look at prompt building, context grooming, output formatting, and more, so you can learn how to use ChatGPT to its full potential.

🤖 Do I need any prior experience with AI or machine learning to understand the content?

No, you don’t need any prior experience with AI or machine learning to understand the content. I’ve designed this guide to be accessible and easy to follow, even if you’re a complete beginner with AI.

📏 How long is the guide?

The guide is an equivalent of 180+ pages long and contains 125 prompts. It’s jam packed with valuable information, but I’ve made sure to keep it concise and to the point.

🙌 Can I use the techniques outlined in the guide in my own ideation sessions?

Absolutely! The strategies and techniques outlined in the guide are designed to be practical and actionable, so you can start using them right away in your own ideation sessions. Plus, with the full case study transcript included, you’ll have a real-world example to guide you every step of the way.

🗓 When was the guide released?

The guide is first released in 2023 and is updated continuously. Current version is based on ChatGPT 5.1.

Note For The Reader:
I skipped the fancy sales fluff. You want to know what this workshop does and whether it is worth your time. So here it is. Straight to the point.

WHAT IS AN AI DESIGN SPRINT?

A structured, problem-solving workshop that integrates AI expertise with the proven design sprint methodology, enabling your team to identify, prototype and test high‑value AI solutions while reducing the risk of failed adoption.

When is an AI Design Sprint useful?

AI Design Sprints are built for when your AI teams can’t afford to waste time building the wrong thing — and need clarity, fast.

✅ You’ve identified a promising AI initiative but need proof before investing months.
✅ Your organization is stuck in silos and you need rapid alignment across business, tech, and operations.
✅ You’re drowning in AI possibilities but unsure what users truly need.
✅ Leaders expect results now, yet you lack confidence in the direction.

From AI vision to validated solution

Most organizations today know they need to “do something with AI.” But the real challenge isn’t strategy or tools — it’s execution.

Teams get stuck:

• Chasing AI trends instead of business outcomes

• Working in silos, without shared direction

• Building pilots that never scale or gain traction

That’s where an expert-led approach comes in.

We don’t just help you build AI solutions — we help you build the right ones, with the right people in the room, at the right time.

How it works

Pre-Sprint Workshop [AI Opportunity Mapping]

Before running the sprint, we align the team around the right AI opportunity — one that’s feasible, valuable, and human-centered.

In this 1-day, expert-led session, your team:

✅ Captures all potential AI ideas and mandates
✅ Maps and scores them across business value, user needs, and feasibility
✅ Aligns on a single high-potential use case
✅ Produces a validated AI Use Case Card with leadership buy-in

⏰ Duration: 1-day, in-person

AI Design Sprint Workshop

Under the guidance of a seasoned facilitators, your expert team will turn that validated use case into a tested solution — fast.

Session 1 [Understand & Define] - Deep dive into constraints (data, tech, risk), clarify the user journey, and align on what success looks like.

Session 2 [Ideate & Decide] - Generate ideas using both human creativity and AI tools. Choose and shape the strongest concept.

Session 3 [Prototype & Test] - Rapidly prototype a realistic version of the experience and test it with real users or stakeholders.

Session 4 [Iterate & Test] - Refine based on user feedback and test again — so you leave with confidence in what to build next.

⏰ Duration: 4-sessions, in-person

After Sprint - Replay Report

After the design sprint concludes, the facilitator meticulously document the entire journey. The comprehensive Replay Report encapsulates all activities, outcomes, and user testing results, presenting a vivid narrative of the sprint. This report distils key learnings and actionable insights, guiding your senior stakeholders in making informed next steps.

✅ Comprehensive user testing learnings
✅ Actionable next-step insights

⏰ Duration: 3 days after the sprint

Top outcomes of the AI Design Sprint

✅ User-tested AI solution ✅ A clear specification for what to build ✅ Shared ownership across functions ✅ Reduced risk of failed AI projects ✅ A repeatable system for de-risking AI ideas ✅ Cross-functional team alignment Faster, evidence-based decision-making ✅ Accelerated AI solution development

Book Your Discovery Meeting

Note For The Reader:
I skipped the fancy sales fluff. You want to know what this workshop does and whether it is worth your time. So here it is. Straight to the point.

FROM AI IDEAS TO USE CASES

Instead of guessing what to build with AI, teams use this session to align fast, think critically, and prioritize the right opportunities — grounded in business goals, user needs, and technical feasibility.

The most successful teams aren’t guessing what to build with AI

They’re not stuck chasing tools, or going back and forth with stakeholders.
They’re not wasting time on experiments that never scale.

Instead, they:

✅ Align fast around a clearly defined problem
✅ Stress-test ideas before committing resources
✅ Prioritize use cases with real business value
✅ Connect AI opportunities to real users and workflows
✅ Break silos between business, tech, and operations
✅ Reimagine what’s possible — instead of just putting AI on top of broken processes.

The Approach

In this hands-on workshop, we guide your team through a structured conversation that filters scattered AI ideas into focused, validated opportunities.

Who’s in the room?

‍We bring together 6–8 cross-functional experts from your organization — typically from product, design, data, engineering, operations, legal and business. These are the people who understand how things really work and who are responsible for delivering on AI initiatives.

This isn’t theoretical.

It’s a working session that turns expertise into clarity — fast.
The process blends speed with strategy — and works because of four essential pillars:

1. Ideas - We start with the noise. AI ideas, mandates, and trends are captured early — no matter how vague or messy. This ensures nothing is overlooked.

2. Business - Next, we stress-test ideas against real business goals. If it doesn’t drive value, efficiency, or growth — it doesn’t move forward.

3. Customer - We zoom in on the people who actually feel the pain. The best AI opportunities solve specific, urgent, and solvable problems.

4. Context - Finally, we map feasibility across internal systems, data, and the user journey — ensuring the opportunity is technically sound and scalable.

   ---

How AI Problem Framing works

Pre-Workshop Activity: Capture Ideas

We start by gathering all relevant AI ideas, trends, mandates, and vague requests — from leadership, market shifts, or internal teams.

✅ Shared visibility and gets everything on the table

Activity 1: Filter by Business Value

Ideas are prioritized through a business lens — looking at growth, efficiency, customer impact, and strategic fit.

✅ It narrows focus to the challenges that matter — and eliminates distractions.

Activity 2: Focus on Customer Needs

We explore who is affected, how often, and why it matters — using customer insight, user journeys, and system knowledge.

✅ Ensures you’re not building for edge cases or generic pain points.

Activity 3: Map Feasibility & Risk

We assess data availability, technical constraints, and workflow integration — with input from those closest to the systems.

✅ Keeps your team grounded in reality.

Activity 4: Align on What to Build

Turn insights into a set of AI Use Case Cards with clear logic, value, and next steps.

✅ Multiple AI use cases — ready for leadership buy-in and sprint execution.

How AI Teams Use the Outcomes

✅ Pitch fundable, high-value AI initiatives to leadership ✅ Scope rapid AI prototypes based on clear user needs ✅ Prioritize where to focus limited resources ✅ Create alignment across business, tech, and AI teams ✅ Avoid building the wrong thing — and move faster with confidence

Book Your Strategy Call

Note For The Reader:
I skipped the fancy sales fluff. You want to know what this workshop does and whether it is worth your time. So here it is. Straight to the point.

DEFINE YOUR AI AMBITIONS

This workshop helps leadership teams move beyond buzzwords to define where AI can create real business value, assess organisational readiness, and establish a strategic roadmap for measurable outcomes.

It’s ideal for organizations entering or scaling their AI journey. Aligning stakeholders early and securing leadership buy-in.

Book Your Strategy Call

Lead with AI Fluency

AI fluency is now a leadership competency. But most executives still struggle to translate AI’s potential into business reality. This workshop equips leaders with the clarity, language, and frameworks to make confident, informed decisions in the age of AI.

‍What they will achieve:

✅ AI fluency - understand what AI can (and can’t) do, and how to integrate it responsibly.
✅ Strategic clarity - identify where AI creates real business value and how to prioritise high-impact initiatives.
✅ Organisational readiness - assess culture, data, and governance for scalable AI adoption.
✅ Action roadmap - move from vision to concrete, measurable execution plans.

Start with AI, the right way

AI is rewriting the rules of business - but most organisations are still playing by the old ones. Executives are under pressure to adopt AI inside their organisation but they are still stuck between hype and hesitation.

‍The AI Strategy for Leaders Workshop is a hands-on, high-impact experience that turns abstract ambitions into aligned, actionable strategy.

‍Combining Human Centred Design with Disruptive Technologies, this workshop merges strategic problem framing and applied AI expertise into a system that leadership teams can run independently.

‍The Outcome

A clear, validated AI strategy - grounded in business impact, responsible governance, and organisational capability.

The Core of the Workshop

• AI Education - Build executive fluency through real examples, not technical lectures.

• Business Focus - Identify where AI drives measurable value across functions.

• Think Big, Act Wisely - Combine visionary ideas with structured prioritization.

• Reality Check - Validate initiatives against feasibility, data readiness, and compliance.

Workshop Agenda

Demystifying AI

We start the workshop with an interactive educational session designed to build the executive team’s confidence in their understanding of AI. Together, we’ll explore case studies showcasing different types of AI in action, helping leaders connect the dots to their own organization and industry.

✅ What is Traditional AI?
✅ What is Generative AI?
✅ Understanding AI Capability.

⏰ Duration: 2 hours

AI Opportunities

Executives will now examine the latest applied research and case studies on the business impact of Generative AI. This session will help them understand which use cases are suitable for AI and which are not, allowing them to envision the biggest opportunities for their organisation.

✅ Identify AI Risks
✅ Evaluate AI Impact
✅ Understand Tech Strategy
✅ Define AI areas of opportunity

⏰ Duration: 2 hours

AI Applications

In the afternoon, executives will take a closer look at the AI opportunities identified in the morning. They will explore specific problems that can be addressed with AI, aligning these with the predefined opportunities. This ideation process, guided by AI experts, ensures that even the most ambitious ideas are concrete and feasible.

✅ Brainstorm big ideas
✅ Evaluate and prioritise ideas

⏰ Duration: 2 hours

AI Roadmap

Having big AI ideas is just the first step. This session focuses on defining a high-level roadmap for moving an idea towards company-wide adoption. Leveraging the Harvard business case methodology, executives will work in small groups to draft a blueprint for scaling AI within the organisation.

✅ Make a Game Plan
✅ Define the next steps for execution

⏰ Duration: 1 hour

Expected Results

✅ AI Roadmap ✅ 3-5 AI Opportunities linked to business goals ✅ Shared Leadership AI Fluency ✅ Organisational Readiness Snapshot (data, people, governance) ✅ Green Light for Next-Phase AI Initiatives

Book Your Strategy Call

Why This Workshop is Unique?

Combining strategic problem framing with applied AI education so your board doesn’t just understand AI, it can decide and execute on it.

Most AI strategy programs are either too technical, focused on tools and data pipelines, or too abstract, full of theory and innovation theatre.

This workshop changes that.

Align your leadership team on AI — in one day.

This sprint is a quick way to turn a vague AI idea into something your team can see and discuss. In 90 minutes you move from problem to draft solution with help from your AI assistant.

Use it in workshops or team meetings. At each step simply paste the prompt into your AI tool, add your context then edit the output together. The aim is not perfection. The aim is a shared starting point you can improve.

Have fun!

Step 0 - AI Use Case Card

For [specific customer or user group] who experience [current problem or unmet need], which causes [pain, risk or missed opportunity], we believe there is an opportunity to use [AI capability] to help them achieve [desired outcome].

Today, this is handled through [current process or workaround]. The opportunity sits within [business domain] and supports [business goal, KPI, OKR or strategic priority].

The solution would require [key data] and would need to work with [systems, platforms or processes]. Key considerations include [legal, compliance, privacy, security, bias or trust risks].

This opportunity is best described as [AI-assisted, AI-augmented or AI-powered].

Step 1 – Identify Problem

Prompt A

We are [team] at [company]. Our AI challenge is: [paste challenge text]. Break this into 5 to 7 clear problem statements that start with “How might we …”.

Prompt B

Based on this AI challenge [paste challenge] describe the current situation, what is broken and what success would look like in simple language for a non technical audience. Also ask me any question to better understand the root course of the problem.

Step 2 – Define Users & Needs

Prompt A

For this challenge [paste challenge] list the key user groups who are affected. If you are unsure - please ask. For each group describe their goals, top 3 frustrations / pain points and outcomes they are after in 3 short paragraphs with bullet points.

Prompt B

Turn this challenge into 3 short user stories in the format “As a [user type] I want [goal] so that [benefit]”. Use realistic details from the [team] at [company]for this context.

Prompt C

Create a realistic user persona for one of the key user groups affected by this challenge: [paste challenge].

Use relevant details from the [team] at [company] and include:

• Name, age, role and short background

• Main goals and motivations

• Top 3 frustrations or pain points

• Typical behaviours, needs and level of confidence with technology

• A short quote that captures their perspective

• What they would need to see or experience to trust a new solution

Then create a clear description for a visual avatar of this persona. Make the persona realistic rather than stereotypical. This persona will be used for future concept evaluation and simulated synthetic user testing.

Step 3 – Brainstorm Solutions

Prompt A

Staying with the same challenge [paste challenge] suggest 5 AI supported solution ideas. Make them varied across people, process, data and tools. One headline + one sentence per idea.

Prompt B

Give me 5 wild and unconventional AI ideas for this challenge [paste challenge] that might sound unrealistic at first but could inspire fresh thinking.

Step 4 – Select Concept

Prompt A

Here are the ideas we like best: [paste 3 to 5 ideas]. Compare them in a quick table with columns: “Idea”, “Impact”, “Effort”, “Risk”, “Notes”. Score each from 1 to 5 and recommend one front runner and one runner up.

Prompt B

Using these ideas [paste ideas] write a short paragraph that argues which idea we should take forward today and why it fits our users and our organisation.

Step 5 – Outline Features

Prompt A

For the selected idea [describe concept] list the core features as bullets under these headings: “Must have this week”, “Nice to have later”, “Not in scope”.

Prompt B

Turn this concept [describe concept] into a simple user / process flow. Describe the steps a typical user takes from start to finish and note where AI is doing work in each step.

Step 6 – Mock-up Solution

Prompt A

Describe a low fidelity prototype for this concept [describe concept]. Explain what 3 to 5 screens or moments would look like and what text or data would appear on each screen. Or explain the steps and interactions if it would be a service offering.

Prompt B

Write UI micro copy for the main screen of this solution. Include a title, a one line explanation, 3 key actions or buttons and any helpful microcopy or tips.

Prompt C (image based mockups or use openAI canvas feature)

We want to create a visual mockup as an image for this AI solution:

[paste concept] and this user flow:

[paste user flow steps].

Design a [low fidelity wireframe or high fidelity UI mockup] with [number] key screens:

[screen 1 purpose, for example: dashboard summarising key insights]

[screen 2 purpose]

[screen 3 purpose]

For each screen describe what the image should show including layout and main sections with example data labels and any AI specific elements such as prompts suggestions or alerts. Use a simple clear style that fits our work environment.

Step 7 – Refine & Fill Gaps

Prompt A: Create the Interview Guide

We are running an AI-powered design sprint.

Here is our challenge:

[paste challenge]

Here is our selected concept:

[paste concept]

Here are the personas we created earlier:

[paste personas]

Create a short synthetic user interview guide to test whether this solution is useful, clear and realistic.

The guide should include:

1. A short intro script

2. 6 to 8 interview questions

3. Questions that test the problem, the current pain, the proposed solution, trust, usability and adoption

4. At least 2 questions that could reveal why the user might not use the solution

5. A final question asking what would need to change for this solution to become a “yes”

Keep the questions simple and practical.

Write them in a way a workshop team can use straight away.

Prompt B - Run Synthetic User Interviews

We are running synthetic user testing for an AI-powered design sprint.

Here are the personas we created earlier:

[paste personas]

Here is the concept we want to test:

[paste concept]

Here is the interview guide:

[paste interview guide]

Act as each persona, one at a time.

For each persona:

1. Stay fully in character

2. Answer each interview question honestly from that persona’s point of view

3. Include realistic concerns, frustrations, objections and emotional reactions

4. Do not be too positive. Be critical where it makes sense

5. Mention what would make the solution more useful, trustworthy or easier to adopt

Use this format:

Persona name:

Role / situation:

Overall reaction:

Question-by-question answers:

Main objections:

What would make this solution better:

Quote we could use in our pitch:

Prompt C - Synthesise the Findings and Improve the Concept

We have completed synthetic user interviews for our AI-powered design sprint.

Here is the original challenge:

[paste challenge]

Here is the concept we tested:

[paste concept]

Here are the synthetic user interview responses:

[paste responses]

Analyse the findings and give us a clear synthesis.

Please include:

1. Top 5 insights from the interviews

2. What users liked

3. What users did not understand

4. Main objections or adoption blockers

5. What we need to change in the concept

6. Which feature or part of the solution should be removed, simplified or added

7. Updated version of the concept in 5 bullet points

8. One sentence value proposition based on what we learned

9. The biggest risk if we build this without further testing

10. The next small experiment we should run in the next 48 hours

Be direct and practical.

Do not make it sound better than it is.

Step 8 – Value Proposition

Prompt A

Create 5 short value proposition options for this solution [describe solution] in the format “For [user] who struggles with [problem] our solution [promise] so they get [benefit].”

Prompt B

Rewrite the value proposition for three audiences: [persona 1], [persona 2], and executive management. Each version should be one sentence in plain language.

Step 9 – Share your Solution

Prompt A

Quick 1 Minute Mad-lib format Pitch

Describe [SOLUTION] in the MadLib format. The format is as follows:

We have observed (problem)

For (target customer)

Who (statement of need or opportunity)

The (product name) is a (product category)

That (key benefit, compelling reason to buy)

Unlike (primary competitive alternative),

Our product (statement of primary differentiation)

Prompt B

2-Minute Pitch (Mad-Lib Style)

The Problem

We have observed that [describe the challenge tackled].

This impacts [describe who it affects and how].

Your Solution

Our solution [prototype name] is a [type of concept/product]

that [describe how it improves the traveller experience].

Unlike [current process or alternative], it [key differentiator].

One Key Insight

During testing, we discovered [key learning or surprise].

This insight changed our thinking by [explain how or why].

Next Steps

Our next step is to [describe future development or experiment].

This will help us [state the impact or next goal].

Step 10 – Risks & Constraints

Prompt A

For this AI solution [describe solution] list the top 8 risks or constraints across data quality, ethics, security, change impact and cost. Suggest one mitigation for each risk.

Prompt B

Write a one page style risk summary for leaders that explains what could go wrong with this solution and what simple guardrails we can put in place early.

Step 11 – Success Metrics

Prompt A

Suggest 6 simple metrics that would show if this solution is working for our challenge [paste challenge]. Include at least one metric for business impact, one for user adoption and one for quality.

Prompt B

Design a tiny experiment we could run in 2 weeks to test this idea. Describe the test, who is involved, what we measure and what would count as a clear signal to continue or stop.

Step 12 – Next Steps & Ownership

Prompt A

Turn everything above into a 10 point action plan for the next 90 days. Include rough timing and who in a typical organisation (role title) should own each action.

Prompt B

Write a one minute spoken pitch that a team member can read out loud to the room. It should cover the problem, users, our AI concept, the value and the next step we want approval for.

You now have a small kit for rapid AI-powered concepting. Any time a new challenge appears run it through this sprint to sketch what an AI supported solution might look like.

Adapt the prompts to your language, context and keep the versions that work best. Over time you will build your own prompt playbook plus a team that is more confident working side by side with AI. Have fun.