AI Assistants Query Internal Surveys

Model Context Protocols let market‑research firms and other organizations make vetted internal datasets (surveys, dashboards) directly searchable inside chat‑based AI assistants, removing repetitive export/import work and speeding analysis. That shortcut raises concrete risks — provenance gaps, auditor visibility, vendor lock‑in, and the temptation to accept AI summaries without human validation — so workflows must require staged validation and scoped access. — Normalizing direct AI access to internal research data will change enterprise research practice and demands new standards for data provenance, auditing, and regulatory oversight.