How

Delivered a detailed analysis and recommendations report that provided actionable strategies to improve overall business strategy, product feature selection, development lifecycle, architecture, and AI model performance.

After developing a strategy canvas a critical initial finding was that the company was too focused and invested in technical product development and features that customers did not value or receive value from and the company would benefit from increased collaboration and organizational input to increase buyer value by raising and creating elements the industry has never offered and minimize elements they care little about.

Targeted AI findings and recommendations included suggestions on improving use case definition, architecture, platform, data prep, model selection, over-tuning avoidance, and the importance of considering and addressing potential bias, privacy, and ethics issues..

Results

The assessment, recommendations, and communication of highly complex financial and technical information in concise business terms with supporting information-based details provided senior leadership and product teams with a path to improve the product, development lifecycle, mitigate risk, and optimize the solution for the marketplace.

Based on company projections, the recommendations would reduce time-to-market by ~3 months, save close to $500K in development costs, and generate $2.5M in additional revenue.