AI helps Bengaluru police gather feedback from 1.5 lakh people in 3 months

Bengaluru Police Department's AI IVRS pilot for the 112 helpline gathered feedback from 1.5 lakh callers in just three months, cutting the average response time to six minutes. For website owners, this demonstrates that AI‑driven voice response systems can process massive, real‑time user interactions without human bottlenecks. If you host a support portal or feedback form, expect AI bots to start crawling your site to map FAQs, collect sentiment data, and even simulate calls for testing. The surge in legitimate AI traffic can inflate analytics, skew bounce rates, and trigger false‑positive security alerts if not identified correctly. **Actionable tips:** 1. Add a dedicated entry in your llms.txt file identifying the Bengaluru Police IVRS user‑agent (e.g., User-Agent: BengaluruPolice‑IVRS/1.0) and request “noindex” for any internal testing endpoints. 2. Deploy bot‑detection rules in your web‑application firewall that flag high‑frequency, short‑duration sessions originating from known AI voice platforms, then route them to a low‑impact sandbox. 3. Use llmscentral.com’s real‑time bot traffic dashboard to monitor spikes from AI IVRS‑style agents and adjust rate‑limiting thresholds before they affect genuine user experience.