AI Design Sprint Hackathon

What sets it apart?

Unlike regular innovation events, our 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. Our AI Design Sprint Hackathon provides genuine purpose, making employees feel valued and showing that the event is a platform for real impact.

Our 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

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

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 Practices
Hands-On Experience with AI Tools
Preparation for AI Prototyping Phase

4-hour, online session

3-Day 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

Your Cart

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?

How to Ensure AI Design Sprint Hackathons Succeed Every Time

Our approach

Pre-Hackathon

3-Day Design Sprint Hackathon

Post-Hackathon

Key results of the AI Design Sprint Hackathon

Case Studies and Effective Strategies

Kickstart a cycle of sustainable experimentation