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My AskAI — Cross-vendor AI support performance benchmark corpus: the article's study covers 195 AI-support deployments across 38 vendors with per-deployment deflection / AI-handling / resolution / automation rates, CSAT pairings, industry classification, ticket volumes and named customer outcomes (e.g. 81% deflection across 4,050+ tickets/month; improvement from 24% to 80% deflection with 86% AI CSAT) — plus the vendor's own deployed AI-agent conversation telemetry behind its support product.. Small operation, outsized research asset: the per-deployment benchmark dataset (195 deployments × 38…
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Cross-vendor AI support performance benchmark corpus: the article's study covers 195 AI-support deployments across 38 vendors with per-deployment deflection / AI-handling / resolution / automation rates, CSAT pairings, industry classification, ticket volumes and named customer outcomes (e.g. 81% deflection across 4,050+ tickets/month; improvement from 24% to 80% deflection with 86% AI CSAT) — plus the vendor's own deployed AI-agent conversation telemetry behind its support product.
From 3 yearsCoverage Information TechnologyAsset class Equities
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My AskAI — Cross-vendor AI support performance benchmark corpus: the article's study covers 195 AI-support deployments across 38 vendors with per-deployment deflection / AI-handling / resolution / automation rates, CSAT pairings, industry classification, ticket volumes and named customer outcomes (e.g. 81% deflection across 4,050+ tickets/month; improvement from 24% to 80% deflection with 86% AI CSAT) — plus the vendor's own deployed AI-agent conversation telemetry behind its support product.. Small operation, outsized research asset: the per-deployment benchmark dataset (195 deployments × 38…
My AskAI offers (Alternative, Sentiment) — Research corpus: 195 deployment records × ~20+ metrics each — small but extremely dense and curated. Product corpus: est. 10^5-10^6 support conversations per year across tenants, each with handling-outcome and CSAT metadata.
Benchmark datasets for AI-support ROI models (deflection-vs-CSAT tradeoff curves by vertical); calibration data for support-AI business cases; vendor-comparison intelligence for buyers selecting support AI; RLHF/preference data pairing automated responses with customer-satisfaction outcomes; topic-level deflection models (which intents deflect: order lookups deflect well, telecom/manufacturing poorly); market-sizing inputs for the support-automation economy
The data is with 3 years of history.
Coverage spans US, UK; Application Software; alternative, sentiment; equities.
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