Knowing whether an AI/ML offering is real or vaporware requires a thorough examination by experts. Kickdrum helps investors understand the true capabilities and processes of a Target's AI/ML practice through a thorough examination of models, outputs, processes, and infrastructure. Our experts will identify key areas of concern and missing best practices to reduce risk and uncertainty.

Here's how it works:

1. Review Strategy and Processes Kickdrum's experts review strategy materials and conduct interviews with executive and technology leaders to understand state of AI/ML, including personnel commitments and processes.

2. Review Infrastructure and Architecture We review documents provided by the Target and perform interviews with technical resources to understand and define the architecture of the AI/ML practice, including data ingestion processes, model management and promotion, and performance and maintainability of models and supporting infrastructure.

3. Identify Risks and Define Potential Business Impact We document identified risks to scalability, extensibility, reliability, and resilience and identify the business impact of risks. We will also offer options for risk remediation tactics and provide prioritized recommendations.

4. AI/ML Maturity and Credibility We review AI models and data science practices to uncover gaps in capabilities, highlight immature practices, and recommend improvements to team structure, measurements, and methodology.