RIntelligence
Menu
Index/case studies/ringg ai policybazaar

Proof grade B

PolicyBazaar

Ringg describes rapid inbound-lead response and insurance qualification using Hindi, English and Hinglish, with fully automated containment, callback requests and explicit relationship-manager handoff.

Ringg AI dossier →
BProof grade
8Metrics retained
2Evidence records
Ringg AIVendor

Reported outcomes

57000 connected calls per dayConnected call volumeCurrent daily run rate reported in the 2026-05-12 case study · Ringg AIBaseline: The prior connected-call volume was not disclosed. · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
4 minutesAverage qualified call durationThe averaging period was not disclosed. · Ringg AIBaseline: 15–20 minutes for a human relationship-manager conversation, according to Ringg · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
? percent of connected leadsQualified lead rateThe measurement window was not disclosed. · Ringg AIBaseline: 5–7% before deployment, the same range as the reported after-state · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
67 percent of callsAI containmentThe measurement window was not disclosed. · Ringg AIBaseline: Prior AI containment was not disclosed. · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
7 percent of callsRelationship-manager handoffThe measurement window was not disclosed. · Ringg AIBaseline: Prior handoff share was not disclosed. · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
26 percent of callsCallback requestedThe measurement window was not disclosed. · Ringg AIBaseline: Prior callback-request share was not disclosed. · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
60 secondsLead response trigger timeThe measurement window and percentile were not disclosed. · Ringg AIBaseline: 8–12 minutes before deployment · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.
80 leads per relationship manager per dayPre-deployment relationship-manager capacityBefore Ringg deployment · Ringg AIBaseline: This is itself a stated before-state; no earlier comparison was disclosed. · Formula: The source reports the value directly but does not disclose underlying records, counting rules or calculation method.

Context and boundaries

Workflowsales_lead_and_conversational_automation–workflow_automation_and_ai_agentsRingg describes rapid inbound-lead response and insurance qualification using Hindi, English and Hinglish, with fully automated containment, callback requests and explicit relationship-manager handoff.
Implementation?The case reports current daily operations and pre-deployment response context but no overall deployment or common outcome window.
CaveatsThe case is vendor-hosted; compliance certifications and regulatory adherence are vendor assertions within that case, not regulator evidence.–The headline suggests every inbound lead is reached, but the quantified metric is connected calls and does not establish a 100% connection rate.–The qualified-lead rate is unchanged from the published before-state, so it is not presented as an uplift.vendor_owned

Source trail

  1. Customer Case Studies | Ringg AI

    The current official case-study hub enumerates six dedicated customer stories: Ekart, PlatinumRx, Practo, PolicyBazaar, smallcase and PharmEasy.

    company · accessed 2026-07-13
  2. PolicyBazaar Case Study | Ringg AI

    Ringg reports more than 57,000 connected calls per day for PolicyBazaar, four-minute average qualified calls, a 5–7% qualified-lead rate and 67% containment. It says calls trigger within 60 seconds versus a prior 8–12-minute response; 67% are fully AI handled, 7% transfer to relationship managers and 26% request callback. The same 5–7% qualification rate appears in the before-state, so no rate lift is demonstrated. The story describes Hindi/English/Hinglish, 200 policy documents, BYOT/on-prem deployment and vendor-asserted ISO 27001, SOC 2 Type II, TRAI DND and IRDA disclosure compliance.

    company · accessed 2026-07-13
← Back to customer atlas