AI audit of every call and every chat, scored against your own scorecard, in Hindi, Tamil, Telugu, Marathi, Bengali or whatever mix the conversation actually happened in. Your team only looks at what gets flagged.
Re 1 per ticket. Rs 25 per hour of audio. Published, because we think you should be able to work it out yourself.
The problem
It stopped making sense the moment somebody could ask you about one specific conversation.
The industry norm for manual quality review is 1 to 3 percent of interactions. Everything else goes unread. That is fine until a regulator, a client or a customer asks what was said on one particular call, and the honest answer is that nobody knows.
One bad call is an incident. Twelve from the same agent is a liability. Sampling finds the first and almost never the second, which means problems are discovered by complaint rather than by audit.
BPM is moving from effort-based to outcome-based commercials. It is difficult to be paid on a quality metric that you only measure across two percent of the work.
What it does
Not a roadmap. These are live today at one customer, across chat and audio.
Anything that is a conversation between your people and someone else can be scored. Sales calls, collections, onboarding, retention, cross-sell, agency and PoSP management. If you have a scorecard, we can run it. If you do not, we will help you build one.
Work it out yourself
Move the sliders. These are our real published rates, so this is the actual number, not an indicative one.
Re 1 per ticket evaluated. Rs 25 per hour of audio transcribed for evaluation.
Full coverage for roughly what you already spend sampling 2 percent.
Analyst cost and reviews-per-analyst are assumptions you can change. Audio is usually most of the bill and is charged per hour transcribed, so hold time and silence do cost money. On very voice-heavy floors we will normally suggest starting with full coverage on chat and a large voice sample, then expanding. We would rather say that up front than have you discover it on the invoice.
How it works
We do not arrive with a generic quality framework and ask you to adopt it. We take the one your team already argues about and teach the model to apply it consistently.
In whatever mix of languages they come in. We will score them against your scorecard and you can mark our homework against your own auditors. That is a better test than any demo we could give you.
API, storage bucket or your existing contact centre platform. Cloud, or fully on-premise if the data should not leave your environment.
Your parameters, your weights, your SOPs, per process. Sales, refunds, referrals, collections, service, each scored on its own framework.
We score a batch your team has already scored and compare, until the model agrees with your best auditor rather than with an average of everyone.
Full coverage from then on. Your team stops hunting for calls worth listening to and spends the week on the ones we flag.
Pricing
Usage based. Nothing to commit to up front, and no per-seat licence that punishes you for auditing more.
Going from 2 percent coverage to 100 percent is a volume question, not a licensing negotiation. There is no per-seat fee standing between you and full coverage.
Committed volume moves the unit rate, so covering more costs less per unit. Full coverage should be the economically obvious choice, not a budget risk.
Connect the recordings, load the scorecard, calibrate, run. Most customers are scoring real conversations inside a fortnight.
The part nobody else has
Every other audit platform closes its loop back into training, which fixes one person. Ours closes back into hiring, which fixes the cohort. Kalibr screens the candidate, Audira scores what they actually do, and what Audira finds feeds back into what Kalibr screens for. It runs today at a customer where leadership reviews both halves as a single case study.
Language, psychometric and proctored assessment before hire.
Every interaction audited against your scorecard, in the language it happened in.
What the audit sees changes who gets hired next month.
Proof and trust
Audira came out of auditing our own delivery before it was ever sold to anyone.
Both held today. Your security team can verify rather than take it on trust, which is usually where a conversation with a smaller vendor stops.
Recordings never have to leave your environment. For BFSI and healthcare buyers this is normally the first question asked and the last objection raised.
Consent, retention limits, redaction of personal identifiers before human review, and role-based access. Phase 3 obligations commence 13 May 2027 and we would rather be early.
Talk to us
The fastest way to judge this is not a demo. Give us fifty of your hardest conversations, in whatever languages they come in, scored against your own framework. Then compare us against your own auditors.