The Next Wave of AI Has Arrived: Supported Intelligence Turns AI Into a Business Problem Solver

The Next Wave of AI Has Arrived: Supported Intelligence Turns AI Into a Business Problem Solver

The Next Wave of AI Has Arrived: Supported Intelligence Turns AI Into a Business Problem Solver

https://mitechnews.com/artificial-intelligence/the-next-wave-of-ai-has-arrived-supported-intelligence-turns-ai-into-a-business-problem-solver/

Publish Date: 2026-07-06 19:05:00

Source Domain: mitechnews.com

Certainly, here’s a summary of the article you mentioned, presented as an unordered list with a focus on key points:

  • AI-Powered Decision Making: A Michigan-based company, Supported Intelligence, has developed a platform that assists Tier 2 automotive suppliers and other manufacturers in improving business decision-making by connecting modern AI assistants securely to business data.

  • Model Context Protocol (MCP): The platform is built around the emerging MCP, an open standard that allows AI to securely interface with business databases, supplier information, and decision-making software, moving beyond theoretical answers to real-world problem solving.

  • Proprietary Decision Engine: At the heart of the platform is Supported Intelligence’s Rapid Recursive Toolbox, which performs complex analytical work and provides transparent, auditable recommendations.

  • Real-World Efficiency: The platform enables employees to ask questions in natural language, retrieve real-time company data, analyze the information with the Rapid Recursive Toolbox, and receive detailed, explainable answers that guide better business decisions.

  • Case Studies: The platform is already being utilized by a fastener company in West Michigan, enhancing the accuracy of its operational decisions, from supplier selection to inventory management.

  • Future of AI: According to Supported Intelligence’s president, Dan Lipsy, AI’s future lies in leveraging existing company data to make well-informed decision-making a standard practice and not just in conversing or generating text.

  • SupplyBase Integration: The platform’s SupplyBase component helps employees more easily interact with complex business systems—such as supplier catalogs and engineering databases—by utilizing natural language queries with AI-driven search and analysis capabilities.

  • Next-Generation AI: As the Model Context Protocol becomes more widely adopted, businesses that implement these AI connections today are expected to be well-prepared for advancing AI technologies in the future.