Description
The AI Use Case Feasibility Tool guides non-technical teams through the evaluation of potential AI/ML initiatives. Users fill out structured forms about the problem space, data availability, business impact, and expected outcomes. The tool returns a feasibility score and report across four pillars: data readiness, tech complexity, business value, and ethical implications. It helps prioritize AI projects based on ROI, risk, and execution readiness. We can customize scoring models and integrate output with your PMO or AI CoE platforms.
Ishaku –
The AI Use Case Feasibility Assessment Tool has proven invaluable in streamlining our AI initiative planning. The guided workflow ensured we thoroughly considered all critical aspects – technical viability, business alignment, ethical implications, and data availability – before investing resources. This systematic approach has saved us significant time and effort by quickly identifying projects with the greatest potential for success and flagging potential roadblocks early on.
Zuwaira –
This AI Use Case Feasibility Assessment Tool has been invaluable in helping us filter and prioritize AI initiatives. The guided workflow ensures we consider all critical aspects, from technical viability and data availability to ethical implications and business impact. It’s a structured and efficient way to determine which AI projects have the highest potential for success.