The transcription, call summaries and quality scoring you already run, evaluated on recordings you choose, against the criteria your quality team sets.
Prefer email? hello@azitalabs.com, subject “Workload evaluation: BPO & call centres”
You run customer calls through an AI pipeline for transcription, summaries and quality scoring, across the languages your agents speak. The scores have to agree with your quality team, and client contracts restrict where recordings may be processed. Every step runs on a large general model, even simple routing and extraction, and model changes arrive on someone else's schedule.
An example workflow
It scores a sample of calls by hand and wants every call checked. An evaluation could take a day of recordings, score them against the centre's own criteria, and let the quality team compare the scores with their own and the total cost.
An example workflow
Summaries and scores go to clients who audit them. An evaluation could run recordings the team selects, agree the scoring rubric with the client, and compare accuracy and turnaround with the current pipeline.
An example workflow
Bank clients restrict where call recordings may be processed. An evaluation could run a sample where the bank's rules allow, in the Indian languages the floor uses, and set the compliance team's review next to the total cost.
Every step is judged against your quality team's scoring. A step that does not pass stays where it is.
Transcripts and scores are checked in the languages your agents speak, against the rubric your quality team already uses.
Transcription, summaries and scoring compared as one job, next to what you pay today, before you switch.
Run your workload on capacity from Azita’s installations. Scope the workload and data requirements.
Discuss your workload on the fleetScope the room and workload together. Azita designs, installs and commissions the deployment.
Discuss an installation in your buildingWhere the work runs, which models are used, who has access and how long anything is kept are agreed in your proposal before any work starts. The Trust page sets out custody and residency by side.
Agree a representative job and the acceptance criteria. Compare the output, turnaround, data requirements and total cost before deciding.
Available to evaluate on your own workload.
On the Azita fleet, or on an installation in your building.
We'll review what you need to run and contact you to discuss the right setup.
There is no price list. Your proposal states what is being quoted, the commitment and what is included. Human review, software licences and integration are listed wherever they apply.
Add what you pay for today. It travels with your enquiry as a note, so the comparison starts from the same work.
Prefer to read first? How pricing works
That is what the evaluation decides. Your quality team compares the scores on recordings you choose with their own. If they do not agree closely enough, nothing moves.
Share a sample of call recordings and the rubric your quality team scores against. We agree the pass criteria, produce the transcripts, summaries and scores, and set out accuracy, turnaround and total cost side by side.
Very little. Recordings flow in the way they do today, and your quality team keeps the final say on every exception.
On the Azita fleet, or on an installation in your own building. Where your call recordings are processed, who has access and how long anything is kept are agreed in your proposal before any work starts.
Proposal based on your workload and deployment. It states what is being quoted, the commitment and what is included, and lists human review, software licences and integration wherever they apply. There is no price list.
Term, what is included, exit and data handling at the end are set out in your agreement before you sign.
Related
Use case
Voice & customer service
From call recordings to transcripts, summaries and scores against your agreed quality criteria.
Read
Engineering and product
Agents, support, extraction and product features, tested on your own evals.
The page for every kind of work in this group, and how an evaluation works.
Read
Also for
Chatbots & support AI
Intent, retrieval and response steps on right-sized models, tested on your own support evals. Compare resolution quality, latency and total cost first.
Read
A production workflow and its eval set. We agree the pass criteria, then compare output, latency and total cost on the same input.
Arrange a workload evaluation