People can’t control all conversations, but AI can. Effective call center quality assurance should be effortless: we offer automation and freedom from routine.
The QA manager in charge of quality control can drill down from the general overview in dashboards into review scores provided by the system for each dialogue, analyze transcript and tune metrics’ parameters for future assessments. Based on the transcript analysis, scores may be adjusted manually.
The QA manager may set filters in quality reports to select targets for manual verification analysis. Weak points of a given employee can be quickly identified and amended.
We closely follow market developments and implement the newest tech achievements available.
This training video explains how to use the QAWacht connector for quality monitoring of voice communications in a contact center.
In this video, we will show how to organize continuous quality monitoring of contact center conversations using AI.
QAWacht automatically analyzes conversations, generates transcripts, evaluates service quality, and helps quickly identify problematic interactions.
We will walk through the basic process of setting up the system and performing the first test evaluations.
1 token = 1 QA minute (LLM input / output cost included)
250 tokens for connecting 1 active agent per month
Match and mix:
upload audio files (off-line)
…or run quality assurance for live agents in real time
…or do both
Launch QA right away with audio files
Launch project in under 15 mins with live agents
Match and mix: flexible setup — use audio file uploads, real-time QA for agents, or a mix of both
Up to 14 days
Full functionality
400 tokens included, free of charge
No credit card needed
Seamless transition to paid project
Pay as you go
Token packs start at $45 (View prices)
The bigger the package, the cheaper the tokens
Cancel anytime
Dedicated support
Custom pricing
On-premise / private cloud possible
| Business | Pack 1 | Pack 2 | Pack 3 | Pack 4 |
| Tokens | 1 500 | 6 000 | 25 000 | 100 000 |
| Pack price, $ | 45 | 165 | 625 | 2 000 |
| Per token, $ | 0,030 | 0,0275 | 0,025 | 0,020 |