Design Sprint Workshop for AI – from business case to product in 5 days
- From your own idea to a prototype in 5 days instead of months
- User-centered design: real user experience and usability
- Real data and integration (optional): technical feasibility in view
- Clear roadmap: next steps, responsibilities, KPIs
What the Design Sprint Workshop for AI brings you
Our Design Sprint Workshop for AI offers you clear benefits and practical results – beyond buzzwords and hype:
- Results-oriented instead of theoretical: We deliver tangible prototypes and decision papers, not endless sprints with no output.
- Over 20 years of project experience: data, design, product and engineering - best practices that work in companies.
- Scalable thinking: prototypes, processes and teams designed so that solutions can be rolled out across other areas and locations.
- Strategy connection included: What we develop fits the goal, budget and schedule - seamlessly connectable for management and implementation.
Contents and procedure of the Design Sprint Workshop for AI
Day 1
Clarify the challenge and target image
- Workshop kick-off, objectives, roles and team setup
- Presentation of the specific challenge and use cases
- Common understanding of the problem: cause(s), objectives, design goal
- Analysis of the status quo: processes, systems, data situation
- Define measurable objectives and success factors
- Define a specific AI problem for the sprint
Day 2
Solution and data evaluation
- Introduction of relevant AI methods to match the challenge
- Developing solutions: Where AI provides support, how added value is created
- Clarify data requirements and availability; evaluate data quality
- Identify blockers (interfaces, compliance, governance)
- Selection and prioritization of a solution approach for the prototype
Day 3
Prototyping concept and technical specification
- Prototyping plan with clear steps and timeframes
- System architecture: AI component, inputs/outputs, integration
- Distribution of tasks in the team; design, engineering, testing
- Create test cases and evaluation plan
- Prepare the environment (access, infrastructure, etc.)
Day 4
Prototyping and test run
- Implementation of the prototype or technical proof-of-concept
- First test runs with real or realistic test data
- Check function, quality, output; document hurdles and improvements
- Prepare results and learnings in a structured way
Day 5
Validation, conclusion and recommendations for action
- Present results and learning experiences to stakeholders
- Evaluate target achievement based on defined success criteria
- Discussion: What works, what are the limits, what is the next step?
- Recommendations for action and rough roadmap (further development, data, integration)
- Conclusion and feedback round
Who is the Design Sprint Workshop for AI suitable for?
The Design Sprint Workshop for AI is for specialist departments, process owners, IT/architecture/data teams and companies that want concrete results and implementation-ready prototypes – regardless of whether you are just starting out or are already developing your first prototypes.
Packages for different levels of experience (examples – we adapt both to your needs)
- Goal: Start quickly and with low risk, create clarity, first clickable prototypes
- Contents: Classification (AI/LLM), design thinking basics, quick-win use cases, click prototypes, simple KPI definition
- Result: Validated assumptions, prioritized ideas, decision template for the next step
- Goal: Go deeper into technology, data and integration, prepare concrete implementation
- Contents: Architecture and tool deepening, feasibility checks (data, integration, compliance), technical PoC, KPI and measurement concept
- Result: Prototype with integration path, implementation roadmap (roles, resources, timeline), clear scaling options
What you can do directly after the Design Sprint Workshop for AI
- Interactive prototype: Clickable or technical prototype for testing and deciding whether and how to develop further
- Validated assumptions: Clarity on benefits, data requirements, integration and risks
- Decision template: Concrete recommendations for action, KPIs and next steps for product and management decisions
- Team alignment: Common understanding of goal, design, data and implementation - without long loops
AI workshop use case: group size, location & format, costs
To ensure that the effect, tempo and organization match, we coordinate the framework and depth with you.
- Group size: Up to 10 people; larger groups on request
- Location & format: On site at your premises, remote or hybrid; alternatively in our office in Munich
- Costs: Depending on duration, scope and group size; on request
- Additional services: Optionally bookable - follow-up sessions, further sprints, prototyping/implementation, scaling support
About Ventum
With over 20 years of consulting experience, we combine in-depth expertise in the introduction of digital innovations such as artificial intelligence with tried-and-tested methods. Our aim with the AI workshop is to enable you and your team to recognize AI potential in the long term and use it directly in your company.
Data and product excellence
We combine data, design and product thinking - from prototype to implementation in the company.
Effect before theory
We deliver tangible results: prioritized ideas, prototypes, decision memos and a realistic roadmap.
Strategy compatible
The sprint fits in with the goal, budget and governance - and is compatible for management and teams.
Designed for growth
Processes, data and teams are designed in such a way that solutions can grow - from team pilot to rollout.
Over 20 years of experience
In-depth expertise in digital transformation, AI implementation and prototyping - best practices that work.
Support until success
We provide support with review, implementation and scaling - for sustainable anchoring of the results.
Our references and projects in AI and data
Your experts in the Design Sprint Workshop for AI
Request a non-binding appointment now
- Over 20 years of practical experience: Benefit from our many years of expertise in digital transformation and AI projects - from pilot to rollout.
- User and data focus: Solutions that address real user needs and are based on real data and system requirements.
- Technical feasibility included: architecture, data quality, integration and governance are checked and taken into account directly in the sprint.
- Clear implementation roadmap: KPIs, next steps, responsibilities and decision-making basis for management and product teams.
TISAX and ISO certification for the Munich office only
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FAQ - Frequently asked questions about the Design Sprint Workshop for AI
Governance is an integral part of the sprint. We are guided by your individual internal guidelines and legal requirements (e.g. GDPR), work with role-based access rights and test prototypes in protected environments. If productive data cannot be used, we use representative test data. On request, we can jointly define a pragmatic minimum standard for data protection and information security, including responsibilities and control mechanisms.
We work on a vendor-neutral basis. Depending on the objective and use case, we combine design thinking and prototyping tools (e.g. whiteboards, click prototypes) with suitable AI and data stacks (e.g. cloud services, LLM APIs, integrations into existing systems). Selection criteria are benefits, feasibility, security, costs and connectivity to your IT landscape. It is important that the tools lead to a usable prototype in 5 days.
You receive an interactive prototype (clickable or technical proof of concept), documented assumptions and test results, a storyboard/automation canvas, clear success criteria (KPIs), a decision template for management and product teams as well as a roadmap with next steps (further development, data/integration, schedule, responsibilities).
Yes, we offer on-site, remote and hybrid formats. For remote sprints, we recommend clear role allocation, prepared access (e.g. to test data or sandboxes), short, focused sessions and fixed review time slots. This allows us to achieve the same level of efficiency as in person and reliably adhere to the 5-day timebox.
German or English. For international teams, we adapt the content, examples and documentation so that all participants – from data/IT to product/UX – can actively participate.
A brief business case or clear objectives, a concise overview of processes/systems (data sources, interfaces) and – if possible – anonymized sample data are helpful. We will send you a checklist in advance to clarify the setup, team structure and expectations. This saves us time in the sprint and helps us to produce prototypes with substance more quickly.
An interdisciplinary team of 5-8 people is ideal: Product/business (problem and target perspective), UX/UI (user & experience), data/IT/architecture (feasibility, integration) and a stakeholder representative capable of making decisions. This is how we ensure that ideas, usability, data & integration and management perspectives come together in 5 days.
We define clear target criteria in advance (e.g. process time, quality, user feedback, feasibility) and link the prototype to measurable KPIs. After the sprint, these KPIs serve as guidelines for further development, tests with users and prioritization in the product backlog. In this way, the step from prototype to implementation remains data- and results-driven.
Gladly. Options include in-depth sprints (usability tests, data refinement), technical hardening of the prototype, development of the product backlog, proof-of-value/pilot in the target environment, integration into systems, scaling planning and coaching for teams. The aim is to turn the prototype into a viable product – without losing momentum.
The sprint is deliberately timed (5 days). We reduce complexity through clear timeboxes, focused decisions, user and data focus and test the most important assumptions first. We encapsulate complex topics (e.g. extended data pipelines) in “next-step” packages, which can then be explored in greater depth without slowing down the sprint.