Opportunity: A major multi-brand restaurant company with thousands of locations needed to get data out of dashboards and into the hands of the people who actually run the business. Franchisees, field consultants, general managers, and executives all needed different views of the same information, and most of them didn’t have the time or training to navigate traditional BI tools.
Our Solution: We built conversational AI interfaces that let anyone in the organization ask questions about their business in plain English and get accurate, contextual answers in seconds. The system translates natural language into precise queries against semantic models spanning sales, guest experience, operations, labor, and finance. Beyond conversational BI, we designed unified guest feedback platforms that consolidate survey data, delivery marketplace reviews, social media mentions, and online reviews into a single analytical layer with AI-powered classification and real-time anomaly detection. We also architected financial anomaly detection systems that monitor P&L data at the invoice level, automatically flagging unusual patterns and creating prioritized investigation cases. The work extended into competitive intelligence monitoring, pricing and revenue optimization analytics, and multi-agent AI architectures where specialized agents coordinate to deliver automated briefings, proactive alerts, and scheduled reporting without waiting to be asked.
Business Impact: Operational leaders who previously waited days for analyst-built reports now get answers in seconds. Guest experience insights that were buried across disconnected platforms are surfaced and routed to the teams that can act on them. Financial anomalies that went undetected for weeks are caught and investigated in near real time. The AI systems serve as an always-on analytical layer that scales across brands, regions, and organizational levels without adding headcount.