Creating competitive advantage with AI solutions through Design Sprint
Are you wondering what value artificial intelligence could bring to your business and customers? Are you looking for a clear roadmap for implementing AI in your organization? Do you need support in conceptualizing a service that includes AI?
The goal of the AI Design Sprint is to ideate and conceptualize AI application areas that serve your business and customers, and to assess their feasibility.
The development process begins with ideation in a co-creation workshop. After the workshop, the technical feasibility of selected concepts is evaluated by examining the current state and quality of the organization’s data. Technical demos are created for the selected ideas.
Following the evaluation, the solutions are designed in more detail in a separate workshop. Based on this, digital prototypes are built and tested with customers.
Taito`s team includes a multidisciplinary group combining strong AI expertise, strategic design skills and UI design competence.
Working with Taito United is smooth and they are really professional. The project was completed on schedule and on budget. We are also very satisfied with the implementation itself. I am happy to recommend Taito United as a solution partner for demanding software projects where the utilization of data plays an important role. Our cooperation will continue in the future as well.
Arto Peterzens, CIO, Algol Oy
What are the benefits of the AI Design Sprint?
Taito United’s AI experts provide insight into where AI holds the greatest business potential.
Human-centered development ensures that AI solutions support the goals of both employees and customers, improving the user experience.
Technical demos help identify potential limitations and ensure cost-effective implementation.
A development roadmap brings clarity to AI development efforts and supports resource allocation to the right projects.
A prototype tested with users ensures that the AI application meets real needs and is easy to use.
The understanding gained during the sprint about implementation and costs supports investment decision-making.
Proven methods and an iterative development process ensure flexibility and high-quality results.
Progress of the Design Sprint (1 month)
Business objectives, identified opportunities and data sources
Review of interview results, brainstorming and conceptualisation
Evaluate and test the feasibility of the prioritised ideas
Design and description of the prototype of the selected AI concept
Build a prototype based on the workshop work
Test the prototype built and collect feedback
We have carried out AI-focused Design Sprints with e.g. the following customers
Interested in an AI sprint? Get in touch!
