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From ad-hoc experiments to a unified AI strategy
Transform scattered AI experiments into a cohesive, actionable strategy. Geniusee’s AI ideation workshop helps enterprises uncover real opportunities for AI adoption, align initiatives with business goals, and validate ideas before large-scale investment.
Most companies explore AI through isolated pilots or vendor trials. However, without alignment, these efforts stall. Our workshop helps organizations move from scattered experimentation to strategic adoption.
Key values:
Define where AI truly adds value.
Validate ideas and avoid unsuitable technologies.
Build internal understanding and readiness for an AI-first company.
Unite business and tech teams around measurable outcomes.
The AI ideation workshop is built on a design thinking framework that blends creativity with practicality. Each phase combines user empathy, business understanding, and technical insight, turning abstract ideas into tangible, validated concepts.
We organize workshops on-site or online using tools like Miro for real-time collaboration.
We start by exploring user needs and organizational context. Through persona development, empathy mapping, and user feedback, we identify current challenges and opportunities where AI can enhance efficiency or decision-making.
Next, we frame the problem with precision. Together, we craft clear “How Might We” questions, outline objectives, and identify risks or constraints. This step ensures that the workshop remains focused on real impact rather than abstract experimentation.
With a shared understanding of the challenge, participants generate diverse solution ideas. We use creative techniques such as affinity mapping and idea evaluation matrices to balance ambition with feasibility. The goal is to uncover high-potential AI use cases that can be tested quickly.
Selected ideas are visualized as low-fidelity prototypes (interactive mockups, process blueprints, or simple dashboards). These prototypes help participants see how an AI-enabled solution could function in practice and highlight what’s required to make it real.
We validate concepts through structured usability testing and stakeholder feedback sessions. Using the Feedback Capture Grid approach, we identify what works, what needs refinement, and what additional capabilities might enhance adoption.
Finally, we consolidate insights from all previous stages into an actionable roadmap. It includes MVP recommendations, technical dependencies, and scaling opportunities. Our aim is to provide a foundation for your confident, data-driven implementation.
During the workshop, teams design and validate a lightweight prototype — often a simplified dashboard or workflow visualization. A small pilot group tests this version through structured usability sessions and scenario-based tasks. Feedback is captured via the Feedback Capture Grid, which records what works well, what needs improvement, and what questions remain open.
By the end, most original pain points — such as manual processes, inaccurate forecasting, or disconnected workflows — are noticeably reduced. Teams validate time saved and improved decision quality, while discovering new opportunities for functionality and efficiency.
We conclude with a collaborative review of the design thinking process. Participants reflect on what worked well, where real data could strengthen testing, and how stakeholder engagement can expand in future phases.
Finally, Geniusee provides a phased implementation roadmap that will be later used for a full-scaled solution planning.
Let’s turn your AI ambitions into a clear, actionable roadmap through a hands-on ideation workshop designed for enterprise teams.
Move from experiments to execution with the right partner by your side.
You’ve explored automation or analytics but don’t yet have a defined AI direction.
Teams work in silos, and initiatives aren’t connected under one roadmap.
The workshop helps identify capability gaps and define next steps toward readiness.
We focus on measurable ROI by improving efficiency, accuracy, and reducing expenses.
We bring business, data, and tech leaders together around shared priorities.
Geniusee’s consultants and engineers combine strategy with hands-on delivery.
Geniusee’s versatile experience has enabled us to form a team with a proven track record.
Countries
Projects completed
Net Promoter Score
Years on market
Head of Data Engineering
CTO
Tech Lead
Typically 3–5 days depending on project complexity and stakeholder involvement.
Product owners, business analysts, domain experts, and decision-makers who understand user challenges or process gaps.
A general idea of your business goals, existing data assets, and pain points you’d like to address.
You receive a validated concept, prototype, and roadmap ready for MVP development or full-scale implementation with Geniusee.
