Small business leaders often struggle with data silos where critical information remains trapped in incompatible systems. This fragmentation forces a reliance on manual spreadsheet analysis and lagging reports, which frequently leads to missed opportunities and margin leaks. The new Performacentric engine, internally dubbed "Petey," attempts to solve this by continuously scanning the entire software stack to provide conversational, evidence-based answers to operational questions.
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Performacentric Launches AI Engine to Unify Fragmented Business Data
Fort Wayne-based Performacentric has opened a closed beta for its Decision Intelligence Engine, a platform designed to consolidate data across disconnected software stacks. By bridging gaps between CRM, ERP, and accounting systems, the company aims to help small and mid-market firms uncover hidden margin improvements of 10 to 20 percent.
Chief AI Strategist Matthew May notes that businesses possess the necessary data to increase profitability but lack the tools to synthesize it. The platform functions as both a query-based assistant and a proactive reporting tool, delivering monthly audits that rank process improvements by their potential financial impact. By replacing manual data gathering with automated intelligence, the company intends to shift decision-making from subjective guesswork to objective, real-time insights. Interested organizations can now apply for limited access via the Performacentric website.
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