Every call in the caller's language. Every call reviewed, not a sample.
Indic voice agents and every-call quality review for collections and service floors, on the Azita fleet or on an installation in your building.
Prefer email? hello@azitalabs.com, subject “Voice workload evaluation”.
The job
The floor's day, and the floor's night.
A collections or service floor runs two shifts of AI work. By day, a caller hears a voice that speaks Hindi, Tamil or Telugu, calls inside the permitted window, and hands over to a person when the script says so. By night, the day's recordings are transcribed, summarised and scored for fair practice, script adherence and sentiment, so the compliance desk can read the whole day rather than a sample of it.
- What you bring
- Live calls and the day's call recordings, with your script and your fair-practice rules.
- What comes back
- Conversations in the caller's language with a handover to a person, and transcripts, summaries and scores against your agreed quality criteria.
By day
The calls
Service and collections conversations in the caller's own language: reminders, disputes, balance queries and promise-to-pay, with a handover to an agent when the conversation needs one.
By night
The scoring
Every recording from the day, not a sample: transcribed, summarised and tagged against your fair-practice rules and your script, with the exceptions set aside for the compliance desk to read first.
What runs
What runs for the floor.
Open-weight models of the classes below, chosen for the job and pinned once they pass your own tests. No vendor names on this page: the model is chosen against your recordings, not a leaderboard.
- Speech recognition for Indian languages
- Turns the call into text in Hindi, Tamil, Telugu and the mixes real callers speak, live by day and in bulk by night.
- A small language model for the conversation
- Holds the script, the customer's context and the rules of the call, and decides what to say next and when to hand over to a person.
- Speech synthesis in the caller's language
- Chosen for a voice that sounds local through a long conversation, and judged in the evaluation on how it reads amounts, dates and names.
- A scoring model for the night shift
- Reads each transcript against your fair-practice rules and your script, tags the exceptions, and writes the summary a supervisor reads first.
How it is delivered
Two ways it reaches the floor.
Both routes are scoped around the floor's work, and how your voice platform and telephony connect is set out in your proposal.
Capacity from the Azita fleet
The work runs on capacity from Azita's installations, without hosting equipment on your campus. If a voice platform runs your floor today, how it connects to that capacity is scoped in the proposal.
An installation in your building
Azita designs, installs, commissions and operates an installation in a room on your own campus, serving your floor, and meters the work.
Boundaries
Agreed before any work runs.
A bank needs to say where its call data sits and who can reach it. Each of these is agreed in your proposal and set in your agreement before any work runs.
- Processing location
- Where recordings, transcripts and scores are processed: on the Azita fleet, or on an installation in your building, as your agreement sets out.
- Model choice
- Which open-weight models run the calls and the scoring, and the version each is pinned to once it passes your tests.
- Access
- Who can reach the recordings, the models and the installation, and how that access is recorded for your auditor.
- Retention and exit
- How long recordings and transcripts are kept, where, and how they are handled when the agreement ends.
Evaluation
Judged on your own work.
The evaluation runs on recordings and scripts you choose, and your compliance team decides whether the output is good enough.
- Representative input
- Redacted call recordings from your floor, your script and your fair-practice rules, in the languages your callers speak.
- Quality criteria
- Transcript accuracy, script adherence, fair-practice tagging and how natural the conversation sounds, as your team defines them.
- Volume
- The calls in scope, agreed to represent your floor.
- Turnaround
- How quickly live conversations respond, and when the day's review is ready, agreed before the evaluation starts.
- Acceptance
- Your compliance team and floor supervisors judge the output against the criteria. If it does not meet them, nothing moves.
Evaluation template. No measured results
Compare the same work.
Agree the workload, conditions and acceptance criteria before comparing a baseline with Azita.
- Agreed workload
- [Agree before evaluation]
- Same input and scope
- [Agree before evaluation]
- Acceptance criteria
- [Agree before evaluation]
| Comparison basis | Current baseline | Azita |
|---|---|---|
| Output qualityEvaluate against the agreed acceptance criteria. | To measure | To measure |
| Completion timeUse the same start and finish definitions. | To measure | To measure |
| VolumeRecord the amount of work in the agreed unit. | To measure | To measure |
| Data locationRecord the processing location and relevant boundaries. | To measure | To measure |
| Total costCompare the same scope and included cost items. | To measure | To measure |
Commercial basis
Proposal based on your workload and deployment.
There is no price list on this page. Your proposal sets out what is quoted, the commitment and what is included.
Named in your proposal where they apply
- The voice platform's own licence, where a vendor runs your floor
- Integration with your telephony, dialler and case systems
- Review time for your compliance team and supervisors
- The commitment, and what is included
Compare quality and total cost on your own workload before you decide.
Where this stands today.
Available to evaluate on your own workload. On the Azita fleet, or on an installation in your building.
Who it is for
Who this is for.
The floor that suits this work is a busy one, in more than one language, under a regulator. It suits the platforms that run such floors, and the floors themselves.
- Voice-AI and contact-centre platforms with bank and NBFC tenants
- Large collections floors run in-house by lenders
- Domestic BPO campuses serving regulated clients
- Compliance and audit teams that want every call scored, not a sample
Not your kind of work? See other workloads
Straight answers.
Will callers notice a pause?
That is part of the evaluation, not a promise. Real calls in your languages are judged against the response time you agree, and your floor supervisor listens in. If a conversation does not feel natural to the caller, nothing moves.
Where are the recordings processed?
Where your agreement says. On an installation in your building, the recording, the transcript and the score are processed in your own room. On the Azita fleet, they are processed on Azita's installations. Where the work may run is set in your agreement before any work starts.
We already use a voice platform. Do we have to change it?
Not necessarily. If a platform runs your floor today, how it connects to Azita capacity is scoped with the workload and set out in your proposal, including any licence and integration work.
What does the compliance desk get?
Transcripts, summaries and scores for the day's calls against your fair-practice rules and your script, with the exceptions set aside. What is reviewed, and when it is ready, is agreed in the evaluation.
How is it priced?
Proposal based on your workload and deployment. There is no price list on this page. We agree a representative job and the acceptance criteria, then set out what is included, the commitment and the total cost next to what you run today, before you decide.
What will our auditor ask, and what will we answer?
Where the data sits, who can reach it, and how you show both. The answers are set in your agreement: the processing location, the access list, the model versions and the retention terms. Which certifications apply to your deployment, and their status, are set out in your proposal.
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Start with your own workload.
Bring a day of calls
Redacted recordings from a representative day, your script and your fair-practice rules. We agree the acceptance criteria with your compliance team, then compare the output, turnaround and total cost with what you run today. We’ll review what you need to run and contact you to discuss the right setup.
Arrange a workload evaluation