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HYPER QA AUDIT

Stop sampling 4% and hoping you found the problems. Audit 100%.

Your QA team currently listens to a small fraction of calls and hopeS the sample is representative. It is not. The compliance breach, the missed disclosure, the agent who consistently mishandles a specific call type — they are in the 96% you never hear. Hyper QA audits every call, automatically. Your QA team reviews the ones that scored below threshold — not every recording.

HOW HYPER QA WORKS

Every call is transcribed automatically

as it completes — agent and customer channels separated for accurate attribution.

Every transcript is scored

against your configurable quality rubric — compliance disclosures made, empathy and tone, resolution effectiveness, script adherence, and first call resolution signal.

Below-threshold calls enter the exception queue

for human QA review — with the transcript, the score breakdown, and the specific items that caused the failure already highlighted.

Pattern intelligence surfaces automatically

Which agents consistently miss the same compliance item, which call types generate the most failures, which supervisor's team is trending down.

Automated coaching triggers

Send targeted training assignments to the Learning Intelligence platform when an agent's scores fall below threshold on a specific topic.

THE QA INTELLIGENCE LAYER

Hyper QA is not a transcription service with a scorecard. The intelligence layer connects QA outcomes to training gaps, scheduling patterns, and agent performance trends across the entire Sivam AI platform.

Training correlation

Agents who scored poorly on a specific topic automatically receive a refresher assignment in Learning Intelligence. The loop between QA failure and targeted training closes without supervisor involvement.

Schedule correlation

When connected to ShiftPilot WFM, Hyper QA surfaces the relationship between adherence patterns and quality scores — late arrivals, long breaks, and schedule deviation that correlates with poor QA performance.

Knowledge gap detection

Questions agents asked the RAG Copilot and did not get answered — combined with calls where the agent gave the wrong response — surfaces content gaps in your knowledge base automatically.

Compliance audit reports

Generate a compliance report for any date range showing 100% call coverage, disclosure onfirmation rates, and exception handling — formatted for regulatory review or client delivery.

MEASURED OUTCOMES

QA coverage from 3 to 5% manual sampling to 100% automated — with no increase in QA team headcount

Compliance incidents detected and resolved weeks earlier than manual sampling would allow

QA team productivity — reviewers spend their time on complex exceptions rather than routine call listeningc

Coaching precision — agents receive targeted training on the exact topics where their scores are lowest, not generic refreshers

See Hyper QA running on real call data

We configure a Hyper QA demonstration against a sample of your call recordings and your QA rubric. You see real scores on real calls — and the pattern intelligence that surfaces from 100% coverage. Book a session to
see it.

Sivam AI is the AI-native contact centre intelligence platform built by operators. Voice agents, FrontDesk AI, Learning Intelligence,  
workforce management, 100% QA coverage and Sivam Copilot. Six integrated products
for regulated contact centres in Canada and globally.

Contact Us

Call us

905-616-0746

Get in touch

hello@sivamai.com

Sivam AI is the AI-native contact centre intelligence platform built by operators. Voice agents, FrontDesk AI, Learning Intelligence,  
workforce management, 100% QA coverage and Sivam Copilot. Six integrated products
for regulated contact centres in Canada and globally.

Contact Us

Call us

905-616-0746

Get in touch

hello@sivamai.com

Contact Us

Call us
905-616-0746
Get in touch

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