Orvera AI is positioned as a Major Contender in the Everest Group PEAK Matrix® 2026
Orvera AI

How we measure the results we publish

The outcome figures on orvera.ai are averages from Orvera AI's own customer engagements. They are measured results from live deployments, not projections, and they are averages, so a single account can land above or below them. Once a use case is scoped, each account is modeled on its own numbers.

The figures, what each one means and how it is measured

First-contact resolution of 90%The share of conversations resolved on the first contactA conversation counts as resolved when the customer makes no repeat contact about the same issue, on any channel, within 7 days. AI agents and human agents are counted together.
AI accuracy of 98%The share of AI agent answers that are correctAI agent answers scored correct in QA review against the customer's knowledge and policies, divided by all AI agent answers reviewed.
CSAT of 90%The share of customers who rate the conversation wellPost-conversation survey answers of 4 or 5 on a 5-point scale, divided by all answers.
Cost per contact 25 to 30% lowerHow much less each customer contact costs to handleTotal cost of handling contacts divided by the contacts handled, compared with the account's own baseline before go-live.
Average handle time 30% lowerHow much shorter the conversations people handle get with Agent AssistEach account's average handle time after go-live, compared with its own baseline before go-live.
100% of conversations quality-scoredEvery conversation is scored, human-handled and AI-handled, on every channelAI Quality Management scores each conversation against the customer's own scorecard.
Full deployment in 3 to 6 weeksTime from kickoff to the AI agents handling live trafficCalendar weeks from kickoff to go-live on the first use case.

Case study figures are different. Each one is the result of a single named or anonymized customer engagement, measured in that engagement, and it is reported with the case study it comes from.

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