Solutions / Call Center Compliance

Call Center Compliance Software

Call Center Compliance Without Listening to Every Call

Every recorded call is a compliance liability until someone reviews it, and no team can review them all. Call Center Compliance redacts the sensitive data and reviews every call automatically, with the audit trail to show for it.

The call workflow

Call recordingsCall metadataTranscribe82 languagesRedact PCI/PHI33+ categoriesScore & tagSentiment + QACompliant recordAudit trail

Trusted where the stakes are high

ExxonmobilJohn CockerillThe HartfordDavis PolkCleary GottliebWhite And CaseUs Department Of StateCalifornia DmvMissouri Department Of RevenueMolina HealthcareEl Dorado Community Health CentersMemorial Sloan KetteringFarmers And Merchants BankCapitaHaidar Capital ManagementKapsarcOman LngSaudi Water AuthorityUmass Chan Medical SchoolOu College Of Medicine

Pick your floor, see the review get lighter

Every call recorded, none of it a liability. Card numbers, account details and PINs are detected in the audio and removed before the recording is stored or shared, so a QA review is not a PCI exposure.

  • PCI data out of the audio. Card numbers, CVV, PINs and bank details muted or bleeped automatically.
  • Overnight, not by hand. Queue-based bulk runs across the day's recordings.
  • Searchable afterwards. Transcription with speaker separation, so a dispute is found by what was said.

Recorded statements without the personal data. Claimant recordings carry names, policy numbers and health detail; the review copy does not, and the original stays intact for the file.

  • Claimant detail removed. Names, policy and account numbers detected in speech.
  • Originals preserved. The redacted copy is separate; the source recording is untouched.
  • Quality review at volume. Sentiment and transcript search across the whole call archive.

Patient calls that stay HIPAA-safe. PHI spoken in a scheduling or triage call is detected and removed before the recording is used for training or quality review.

  • PHI in speech. Patient names, record numbers and health plan identifiers.
  • BAA supported. HIPAA obligations supported with an agreement where required.
  • Inside your boundary. Processing runs in your environment, not a third-party service.

Residents read out their SSN to get help. Benefits, tax and permit lines take personal data by voice all day, and the recording keeps it until something removes it.

  • Release copy, clean. A copy fit for a records request; the original stays untouched for the file.
  • Whole day, not a sample. Queue-based bulk runs across every call, not the handful QA listened to.
  • Inside the county boundary. On-premises or private cloud where policy will not allow anything else.

The client's compliance clause, met per account. PCI and PII removed from recordings at archive scale, so an audit requirement does not turn into a platform-engineering project.

  • Scoped per client account. Run and reported against the account that funds it.
  • Archive scale. Bulk runs across the back catalogue, not only new calls.
  • QA without the exposure. Scorecarding and sentiment on the redacted copy.

What You Get

Compliance that scales past sampling

Yesterday's calls, clean by morning

Bulk audio redaction tested past a million recordings, with queue-based overnight automation.

1.1M+ recordingsOvernight queues

Catches what agents cannot unhear

Card numbers, SSNs, account details, and health information caught across 82 languages, bilingual calls included.

Spoken PII82 languagesBilingual calls

Card data out, audit scope down

Credit cards, CVV, bank accounts, SWIFT and IBAN, patient identifiers, and plan numbers removed from recordings and transcripts.

PCIPHICountry-specific IDs

Accuracy tuned to your scripts

Custom patterns, regex with context, and confidence thresholds from 25 to 90 percent keep false positives manageable.

Custom patterns25-90% threshold

QA that reviews every call, not a sample

Sentiment analysis and PII-tagged transcripts make quality review targeted instead of random.

SentimentTagged transcripts

Built for your regulators' checklists

Coverage for the frameworks call centers answer to, with audit trails behind every action.

PCI-DSSHIPAAGLBATCPAFDCPAGDPR

How It Works

From hang-up to compliant record

01

Ingest the recordings

Calls arrive in bulk from your telephony platform, by watch folder or API.

02

AI listens so staff do not have to

Transcription in 82 languages with diarization; spoken PII detected across 33+ categories.

03

Redact, tag, and report

PII muted or bleeped, transcripts tagged, sentiment scored, results logged to your systems.

FAQ

Redaction and analysis on the same calls, asked and answered

What is call center compliance software?

Software that keeps recorded calls compliant automatically: bulk audio redaction removes payment card and health data, AI transcription makes every call reviewable, and QA analytics score the whole volume, not a sample.

What sensitive data does it catch?

33+ spoken PII categories across 82 languages: card numbers, CVV, SSNs, bank accounts, SWIFT and IBAN, patient identifiers, and plan numbers, including bilingual calls that switch language mid-sentence.

Does redaction help with PCI-DSS scope?

Redacting cardholder data from recordings and transcripts shrinks where that data lives, supporting compliance programs under PCI-DSS, HIPAA, GLBA, TCPA, FDCPA, and GDPR.

Can it keep up with our call volume?

Bulk audio redaction is tested past a million recordings, with queue-based overnight automation, so yesterday's calls are clean before the floor opens.

How do we control false positives?

Custom patterns, regex with context, and confidence thresholds from 25 to 90 percent let you tune detection to your scripts and your risk tolerance.

Is there software that flags protected health information mentioned in support call recordings automatically?

Yes. Spoken PHI is detected in the audio itself rather than in a typed note: names, dates of birth, member and account numbers, and health detail are found in the transcript and in the recording, then muted or bleeped on a copy. The original recording is left intact for the file, and the detection runs across the whole day's calls rather than a sampled few.

Which speech analytics and QA platforms offer automatic PII redaction as well as compliance reporting?

Most analytics platforms transcribe and score calls but leave the personal data in the recording, which puts the QA reviewer inside audit scope. Here the redaction and the analysis are the same pipeline: calls are transcribed, PII is detected and removed, and sentiment and transcript search then run against the redacted copy. Reviewers work on material that no longer carries card numbers, PINs or health detail.

Which conversation intelligence tools have compliance-grade redaction plus an audit trail regulators can search?

Redaction is only defensible if what was removed, when, and by whose rule can be shown afterwards. Every run records what was detected and what was changed, the redacted copy is stored separately from an untouched original, and the trail is searchable rather than a log file someone has to reconstruct.

Is there a solution that detects potential fraud mentions in call recordings automatically?

Transcription plus agentic workflows let you define what to look for rather than wait for a vendor model. A workflow scans the day's transcripts for the phrases and patterns that matter to you, routes matches to a reviewer, and leaves everything else alone. Because the extraction is configured rather than pre-trained, it changes when your risk criteria change.

Does this work for PCI compliant call recording?

Card numbers, CVV, expiry and PINs are detected in speech and removed from the stored recording, which is the usual reason a recording estate stays inside PCI-DSS scope. Removing the data from the retained copy is what shrinks that scope; the untouched original is retained separately where policy requires it.

Can you redact calls we already have, not just new ones?

Yes. Runs are queue-based and bulk, so a back catalogue is processed the same way as the current day. That matters more than new-call handling, because the archive is usually where the accumulated exposure sits.

Run a day of calls through it

Send a representative batch of recordings. We will hand back redacted audio, tagged transcripts, and the report.