Aissist.io research throughout six industries and 40+ sources places vendor headline decision charges at 67–90% and estimates CSAT of 78
Aissist.io, the agentic AI operational layer for customer support, at the moment printed its AI Buyer Service Benchmark 2026, an industry-wide evaluation of the three metrics that decide whether or not AI help really works: real end-to-end decision fee, buyer satisfaction (CSAT), and price per decision.
Decision is the one quantity that pays the invoice, and it deserves sincere measurement. We printed this benchmark with its caveats seen so consumers can examine techniques as a substitute of selling claims”
— Lifan
Synthesizing greater than 40 sources — vendor disclosures, impartial aggregates, contact-center value research, and named buyer deployments printed between 2024 and 2026 — the benchmark holds vendor advertising claims side-by-side in opposition to independently verified outcomes, and discloses the boundaries of the information on each side.
Key findings from the 2026 benchmark:
The claimed-versus-field hole is structural, not anomalous. Vendor headline charges of 67–90% come from high-structure case research, whereas impartial cross-program aggregates put the tier-1 automation median close to 41%, with a high quartile round 59%. The report notes that supply definitions differ — some publishers report that very same combination as deflection — and instructs readers to deal with it as a directional ground fairly than an audited median. Vendor numbers are additionally shifting: Intercom’s Fin, which marketed a 67% common in 2025, now markets 76%.
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Decision will not be deflection. Counting any dialog that by no means reached a human — together with prospects who gave up — inflates reported efficiency by 20 to 40 factors versus counting solely points genuinely solved end-to-end. The benchmark tags or excludes deflection-based figures from its verified ranges.
Business rank-order follows intent construction and information transparency. Ecommerce and retail lead at 70–84% verified decision as a result of their highest-volume intents are structured and data-rich. Client fintech (60–75%) and SaaS (50–70%) comply with, whereas telecom, utilities, healthcare, and insurance coverage path at 40–60%, the place points are ambiguous, regulated, or emotionally charged and the information wanted to resolve them is fragmented.
Structure strikes the quantity as a lot as {industry} does. Agentic AI techniques usually resolve 10–20 factors greater than retrieval-based bots, multi-agent designs add one other 10–15 factors, and giving the AI the flexibility to take motion — refunds, account updates, rescheduling — is price 20–30 factors of decision versus data retrieval alone.
The sincere value of an AI decision is about $5, not the listing value. Human-handled tickets vary from roughly $2.70 in retail to $60 in complicated B2B, whereas AI resolutions value $0.50–$2.37 on the unit degree. Counting connectors, engineering, and platform charges, the report estimates a practical all-in determine close to $5 per AI decision in lots of B2B deployments — clearly labeled because the report’s personal synthesis fairly than a printed benchmark, and nonetheless roughly six instances cheaper than the ~$30 human equal. A 2.3× repeat-contact fee means deflection that fails to resolve can quietly elevate whole value whereas showing cheaper on a dashboard.
AI-handled CSAT runs 5–10 factors under human-handled for a similar group, in opposition to a cross-industry common close to 78/100. The quickest method to injury it’s a weak escalation handoff that forces prospects to re-explain their challenge.
“ ‘Decision is the one quantity that pays the invoice, and it deserves sincere measurement. We printed this benchmark with its caveats seen — which figures are disclosed, that are reported, and that are our personal estimates — so consumers can examine techniques as a substitute of selling claims,’ stated Lifan, Co-Founding father of Aissist.io.”
The benchmark recommends that consumers pin a decision definition — no buyer reply inside a set window and no escalation — and run a 50-question analysis set throughout their actual high intents earlier than evaluating any vendor numbers. The complete report, together with per-industry information tables, a vendor claimed-versus-verified comparability, pricing mannequin evaluation, and full methodology.
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