[EXPERTISE]
Concept Validation
/ Requirements Gathering
/ Proof of Concept
/ Analyse and Recommendations
The Concept validation stage of AI product development is essential for confirming the viability of an AI concept.
Our Structured approach to validating ensures that the product is aligned to your business goals, minimises risks and instils confidence that the AI solution will achieving your desired outcomes technically and is commercially viable.
Leveraging the expertise of Godel’s AI specialists to enables our partners to gain valuable insights into potential challenges, scalability concerns, and the AI models to use positions our partners for long-term success.
Godel’s AI concept Validation turns your ideas into actionable insights ensuring optimal performance by assessing by focusing on two critical phases:
[Requirements Gathering]
After understanding the problem we are trying to solve, the concept discovery phase involves in-depth research, and technical feasibility assessments to determine whether your idea has the potential for success.
[Experiment & Analyse]
Once feasibility is established, the next step is transforming your AI idea into a functional prototype. This proof-of-concept phase enables you to test core functionalities, validate assumptions, and identify potential roadblocks early on.
[Success]
Requirements Gathering
/ Interviews and workshops to gather problem statement for the business use case.
/ Summary of requirements and success criteria for POC.
/ General e2e process overview.
/ Architecture and infrastructure landscape overview to assess how future product fits in.
/ Interviews and workshops to identify NFR’s and tech requirements.
/ Intermediate results sharing and validation of the next step.
Concept Validation
/ Data Readiness analysis.
/ Summary of the constraints, findings, insights identified.
/ Analysis of the results against success expectations.
/ Demo PoC.
/ Recommendation for the future solution based on the experiments carried out.
/ Identification of the next steps.