Establish an actionable AI Roadmap to start executing with confidence.
Defining an AI roadmap requires a solid evaluation of potential use cases based on their desirability, viability, and feasibility, aligned with business objectives and stakeholder support. This involves identifying high-impact use cases, assessing technical feasibility, and ensuring financial viability.
Our discovery track accelerates this process. By conducting just enough research, we help you gain the confidence needed for decision-making and achieving stakeholder alignment. We use a proven rapid research and prototyping process to evaluate the desirability, viability, and feasibility of your ideas, allowing you to establish an actionable AI roadmap with increased confidence.
![](https://cdn.prod.website-files.com/6639eacf745449ab9878b6bb/664c5bd2251f4cc9609321cf_line-solid.svg)
Explore
week 1
We kick-off with the team and align on assumptions to test, questions to answer and continue use case ideation.
We conduct shadowing research to understand user context and goals.
Uncover opportunities and map AI use cases.Start data inventory.
![](https://cdn.prod.website-files.com/6639eacf745449ab9878b6bb/664c5bd2251f4cc9609321cf_line-solid.svg)
Experiment
Week 2 & 3
Design probes & prototypes around the use cases. Conduct tests to evaluate user benefits & concerns.
Stakeholder interviews to evaluate potential business value. Identify potential hurdles for AI adoption that need to be overcome.
Specify technical considerations per use case - sketch out current infrastructure and how that impacts future technology decisions.
![](https://cdn.prod.website-files.com/6639eacf745449ab9878b6bb/664c5bd2251f4cc9609321cf_line-solid.svg)
Assess
Week 4
Consolidate findings. Define the low hanging fruit vs the long term horizon for the individual use cases.
Synthesise overarching strategic advise & practical next steps for implementing AI into the organisation.