More calls reviewed. Same QA team.

Checking every call, required disclosures, promises made, opt-out requests.

JessicaJessica·English

Every call ends scored, flagged and followed up.

Example
Jessica
Service call · inbound
00:42
  1. 00:02
    Jessica

    Thanks for calling Harbourside Insurance, this is Jessica. Calls are recorded for quality. How can I help?

  2. 00:10
    Caller

    I'd like to move my payment date to the 5th.

  3. 00:15
    Jessica

    I can do that. To confirm it is you, what is your date of birth?

  4. 00:22
    Caller

    12 March 1984.

  5. 00:25
    Jessica

    Thank you. Your payment date is now the 5th, and you'll get a confirmation by email.

Done in your systems3/3
QA scorecard · Call 3318
Rubric: service calls v4
Scored today
1,284 of 1,284
  • Recording disclosure00:03
  • Identity check before change00:19
  • Request resolved00:31
  • Confirmation given00:34
  • ToneCalm
Score98/ 100
No review needed
  • Scorecard: recording disclosure at 00:03
  • Scorecard: identity checked before the change
  • QA: scored 98 of 100, no review needed
Outcome
Every call scored, not a 3% sample.

You choose who goes to a person. How handover works · What AI does on every call

Already on these? We plug in.

  • Acturis
  • Calendly
  • Insly
  • Microsoft Dynamics 365 Business Central
  • n8n
  • Pipedrive
  • Salesforce
  • Vertafore AMS360
  • Zapier
  • Cal.com
  • Freshsales
  • Intercom
  • Open GI
  • ClickUp
  • EZLynx
  • Guidewire
  • Instagram
  • Telegram
  • a3
  • Cegid
  • Fatture in Cloud
  • Lexware Office
  • sevDesk
  • wFirma
  • enova365
  • InsERT Subiekt
  • Sellsy
  • weclapp
  • EBP
  • Applied Epic
  • Google Calendar
  • Make
  • Microsoft Outlook / Microsoft 365
  • Odoo
  • QuickBooks Online
  • SAP
  • WhatsApp Business
  • Zendesk
  • Docusign
  • Gmail / Google Workspace
  • Kommo
  • Scoro
  • ERPNext
  • Facebook Lead Ads
  • HawkSoft
  • Messenger
  • Viber
  • Agnum
  • Comarch ERP
  • Holded
  • Pennylane
  • Symfonia
  • Zucchetti
  • Fakturownia
  • JTL-Wawi
  • SimplBooks
  • Aruba Fatturazione Elettronica
  • Merit Aktiva
  • Bitrix24
  • HubSpot
  • Microsoft Dynamics 365
  • Microsoft Teams
  • Oracle NetSuite
  • Sage
  • Slack
  • Xero
  • Zoho CRM
  • Freshdesk
  • Google Sheets
  • monday CRM
  • Airtable
  • Exact Online
  • Google Drive
  • HighLevel
  • SSP
  • Zoho Books
  • B1.lt
  • DATEV
  • inFakt
  • Rivilė
  • TeamSystem
  • Directo
  • Finvalda
  • Labbis
  • Stekas Plius
  • Axonaut
  • Teamleader Focus
+ Any system with an API

Trademarks belong to their owners. Shown to name the systems we connect to, not a partnership.

Where do your training gaps get lost?

Calls nobody ever listens to

Every call transcribed and scored against your own rubric.

Promises made on calls, never kept

Commitments logged in the CRM during the call, then followed up.

Opt-outs lost between systems

Do-not-call requests caught on the call and applied everywhere.

Evidence nobody can find in an audit

Every call, transcript and flag kept where auditors can find it.

Questions QA and compliance teams ask.

Traditional QA listens to 2 to 5 percent of calls and hopes the sample is representative. AI scores 100 percent, surfaces exceptions against your rubric, and lets your QA team spend their hours reviewing only the calls that need human judgment. The training gaps that used to hide in the other 97 percent are visible.
Yes. For regulated workflows, AI monitors live calls and alerts supervisors the moment a required disclosure is skipped or a prohibited phrase is used. Post-call, AI builds a compliance audit log with timestamped evidence for every interaction.
Most QA and compliance deployments go live in about two weeks. Week 1 is discovery: we map your scorecard, required phrases, compliance rules, and escalation alerts. Week 2 is build, test, integration with your recording platform, and calibration against historic calls so scores match your existing QA baseline.
AI handles the initial scoring, flagging, and clipping. For exceptions, borderline sentiment, ambiguous compliance cases, or disputes, AI routes the call to a human QA reviewer with the clip, transcript, and flagged segment highlighted. Your reviewer confirms, overrides, or escalates. The AI learns from every override.
Yes. AI scores inbound service, outbound sales, collections, surveys, and retention calls to whatever rubric you configure. Different scorecards for different call types are supported from day one.

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