Why Your Business Intelligence Strategy Requires an AI Layer
- BI adoption is stuck at 3–10% of licensed users because dashboards require analyst-level skills — augmented BI platforms like QuaerisAI close that gap by letting everyday users ask plain-English questions and get instant, cited answers, without replacing existing Power BI/Tableau/Qlik investments.
- The strongest use cases are sales/CRM enablement, embedded analytics for SaaS products, document intelligence (contracts, SOWs, MSAs), and operational monitoring where fast signal matters — one university deployment kept retention above 91% by catching risk patterns early.
- ROI comes from three places: underused BI licenses becoming productive (adoption can rise from 3–10% to 30–60%), analyst time reclaimed from ad hoc report requests, and faster decisions compounding over time — with the recommended path being a small pilot on one high-friction use case, not a full platform migration.
