AI Quality Assurance · regulated BPOs
Every call scored against your own rubric, confidence visible on every criterion — you own the rubric and the loop, and your data never leaves.

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The QA director's dilemma
Manual sampling, locked-in suites, or black-box AI you can't defend. Each one fails somewhere in the chain from the QA manager to the brand client.
Brand-damaging moments and compliance failures hide in the unscored 95%. Risk compounds weekly.
The big suites bundle WFM you already pay for and tie you to a multi-year contract just to score calls.
AI-natives market "100% accuracy" but won't show how a score was reached. She can't defend what she can't explain.
There's no path for your senior auditor's override to improve the system. Drift sets in within 90 days.
The Primas answer
One system answers all four — no trade-off. Here's the map; the rest of this page is the proof.
Every call is scored with a confidence number per criterion. The system auto-confirms what it's sure of and routes only the uncertain calls to a human. No black-box "100% accuracy" claim.
The Primas QA Suite
Record every call, score it against your rubric, and feed every override back into a sharper rubric — call center quality assurance software and conversation intelligence software in one, on your existing Avaya, Cisco or Genesys.
Every call recorded automatically — voice and the agent's screen, time-synced, encrypted (AES-256), PCI auto-redacted, and transcribed speaker-by-speaker. Nothing falls through a sampling gap.


Every call scored against your rubric and routed by confidence — the inbox sorts by what the AI is uncertain about, not by call ID. Each criterion shows its reasoning, the rule it cites, and the evidence line. One click to override; the override teaches the rubric.


Quality and operational KPIs on every interaction, not a 5% sample — score distributions, pass rates, agent and cohort performance, and a builder for the cuts your team runs on.



Turn scores into coaching and insight — each agent's weakest criterion with example calls, plus auto-discovered themes, sentiment trends, and which topics drag QA scores down.



Your team owns the rubric and the knowledge base and edits them in-app. Every change runs against an audit set and must clear an eval-gate before it publishes — versioned, with rollback.



Continuous calibration
Confident calls auto-confirm; uncertain ones route to a human, and every override sharpens the rubric through an eval-gate. Most AI QA tools score and stop — Primas calibrates.
Before we begin
A retail post-purchase line probably isn't. A regulated medical, financial or legal-intake campaign almost certainly is — where a brand client will pay a premium for the attestation we generate at quarter's end.
From signed SOW to live scoring with confidence routing.
If auditor-AI agreement isn't there by day 30, calibration continues at no cost. Implementation is milestone-paid, not on signature.
The attestation a regulated brand client can show their regulator — the artifact that earns the change.
On your stack · no lock-in · compliant
Recordings, scores and PII stay inside your environment — on the telephony you already run.
Your telephony
Plugs into your existing platform — your recordings stay where they are.

Your AI models — per criterion
Pick the right AI for each scoring dimension and swap as the landscape shifts — or Primas’s own models, fully on-prem.





Proven on real contact centers
Four stories — regulated, high-stakes, all on infrastructure the customer already ran.
Banking
A US regional bank — FreedomQ callback beside their Avaya CM: ten queues, nothing else touched.
Read the case study →Government · public sector
A US government department, on Azure Government.


Insurance
A major US supplemental insurance carrier — policyholders, coordinators and agents on one platform, zero cloud migration.
Read the case study →Healthcare
A leading US academic health system — the ecosystem around the Avaya core they kept, deep in Epic EHR.

Is this for you?
Questions
No — and that's the point. We give every score a confidence number and tell you exactly where the AI is sure and where it isn't. High-confidence calls auto-confirm; the uncertain ones go to a human. An honest system you can defend beats a "100% accurate" black box you can't.
Both. Primas is AI call center quality assurance software — it scores 100% of your calls against your own rubric, with a defensible confidence score on every one — and conversation intelligence software: it analyses every conversation for the risks, compliance gaps and coaching signals a 5% manual sample never sees. One platform, on your existing telephony, with the rubric and your data staying yours.
Yours. Professional Services calibrate it on your real calls and your criteria, then hand the rubric to your team — you own it and edit it in-app.
Every override and supervisor note is captured as a signal. Signals aggregate into recommendations with the originating calls cited; your rubric team applies or dismisses each, drafts run against an audit set, and only changes that hit ≥85% auditor-AI agreement publish — versioned, with rollback.
No. Recordings, scores, transcripts and the audit trail stay on your infrastructure. PII never leaves your hardware. No SaaS sits in the middle of your customer data.
Yes — it plugs into your existing telephony; your recordings stay where they are. No rip-and-replace.
~30 days from signed SOW to a live scored batch with confidence routing. Implementation is milestone-paid against acceptance criteria — not on signature.
A 30-minute strategy session, no obligation. We'll look at one of your regulated campaigns and whether the playbook fits.
Book a 30-minute strategy sessionSchedule your free, personalised demo at a date and time that works for you