The Challenge: Disconnected AI and Computational Systems

Many organizations face significant hurdles when attempting to implement AI-powered applications:

• Siloed systems that can't share computational results
• Manual transfer of calculated data between applications
• Limited ability to incorporate complex calculations into AI workflows
• Excessive development resources required for custom AI solutions

These challenges create inefficiencies, increase costs, and prevent businesses from fully leveraging their data for AI-driven insights. Without a unified approach to calculations and AI capabilities, organizations struggle to create truly intelligent automation workflows that can drive business outcomes.