The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is to transform enterprise knowledge work by improving how businesses analyze and act on unstructured data. Many industries such as technology, finance, and healthcare, rely on knowledge workers to extract insights from vast amounts of unstructured information, including documents, emails, and reports. However, existing AI solutions often produce unreliable or inconsistent results, limiting their effectiveness in high-stakes environments. This project introduces a hybrid approach that combines structured algorithmic workflows with advanced AI models, ensuring complex multi-step tasks are completed with high accuracy, transparency, and explainability. Initially targeting enterprise sales, where data-driven insights fuel revenue growth, this innovation will assist in researching customers, uncovering new opportunities, and streamlining deal-making processes. The technology provides a durable competitive advantage by providing enterprise level automations with high reliability and transparency, allowing businesses to trust and integrate AI in their processes. As a key enabler of commercial success, it positions the company as a leader in enterprise AI. By year three, this technology is projected to impact over one million knowledge workers and drive measurable gains in productivity and revenue generation. This Small Business Innovation Research (SBIR) Phase I project aims to develo