Reduce AHT with the Vocalcom QA evaluation grid

META: Find out how to reduce your AHT by 25% with the CoglyAI QA evaluation grid connected to Vocalcom. Optimize your calls and coach your agents in real time.

The hidden cost of an uncontrolled Average Handling Time

In a contact center, every second counts. Average Handling Time (AHT) directly influences your operational costs and customer satisfaction. An excessively high AHT often indicates inefficient processes, training gaps, or unsuitable tools. Implementing an effective QA evaluation grid is the primary lever for identifying these anomalies.

However, coupling this QA evaluation grid with your Vocalcom system remains a challenge for many managers. Without a precise analysis of each interaction, supervisors rely on impressions. This lack of factual data prolongs call resolution times and overburdens your production teams.

For a one-hundred-seat call center, a thirty-second increase in AHT represents thousands of lost hours per month. This lost time translates into lower productivity and higher abandonment rates. Systematic conversation analysis therefore becomes an absolute financial necessity to remain competitive.

Contact center directors are constantly looking to optimize their resources. Reducing AHT without degrading service quality requires total visibility into conversations. This is where automation of evaluation makes perfect sense to transform your performance.

To understand how to optimize your flows, discover our complete guide on call center side-by-side listening and its modern evolution.

The limitations of traditional call evaluation methods

The majority of contact centers still evaluate their agents manually. Supervisors listen to a random sample of two to five calls per agent per month. This classic method poses major limitations in terms of representativeness and impartiality.

Virtually zero statistical representativeness

Evaluating less than 2% of total calls does not provide a true view of an agent's skills. A high-performing agent may be judged on their single bad call of the month. Conversely, a struggling agent may slip through quality checks thanks to a successful call selected by chance.

This approach creates a sense of injustice among employees. Subjective evaluations harm the social climate and do not help identify real areas for improvement. Training decisions are then based on insufficient data.

The inefficiency of general, non-specialized tools

Many centers use spreadsheets or general-purpose form software for their quality assurance. These non-specialized tools force evaluators to manually copy and paste data from Vocalcom. They possess no semantic analysis or voice processing capabilities.

These solutions require considerable administrative data entry time. Your teams spend more time filling out forms than coaching agents. Furthermore, these tools do not manage data sovereignty, a critical issue for centers based in France and Morocco.

CoglyAI addresses this gap by offering a platform natively designed for call centers. It eliminates manual tasks to focus on performance analysis.

Technical integration of CoglyAI with Vocalcom

To automate your QA evaluation grid, CoglyAI connects directly to your Vocalcom infrastructure. This technical synergy allows the retrieval of all audio recordings without disrupting your daily production.

An automated and secure data flow

As soon as a call ends in Vocalcom, the audio file and its metadata are exported securely. We use standard protocols like secure SFTP flows or Webhook integrations to ensure instantaneous transfer.

The system retrieves the agent's name, the call ID, the campaign, and the call duration. This data allows calls to be sorted and filtered immediately in our interface. Your data remains encrypted end-to-end throughout the process.

High-precision transcription for each interaction

Once the audio is received, CoglyAI launches the automatic call-to-text transcription. We use the cutting-edge Faster-Whisper technology, specially optimized for French and Moroccan Arabic (Darija).

This technology guarantees an exceptional accuracy rate, even in noisy call center environments. The separation of audio channels makes it possible to clearly distinguish the customer's voice from the agent's. This step is essential for applying reliable semantic analysis.

Processing takes just a few seconds, making the data available almost immediately for quality analysis. Supervisors can read the conversation while listening to the recording if necessary.

According to a study by consulting firm Gartner, automatic voice analysis can reduce quality assurance processing time by more than 80%.

How CoglyAI's automated QA evaluation grid works

The strength of CoglyAI lies in its ability to automatically fill out your QA evaluation grid. Our artificial intelligence engine analyzes the transcribed text and sound characteristics to assign an objective score to each call.

Semantic analysis to verify speech compliance

Artificial intelligence scrutinizes every word of the conversation. Our semantic analysis algorithm checks compliance with mandatory scripts, the use of polite phrases, and the validation of key call stages.

• – Detection of personalized welcome greetings.

  – Validation of customer needs assessment.

  – Verification of the formulation of the commercial proposal.

  – Validation of regulatory call closing.

If a mandatory legal disclaimer is omitted, the system flags it instantly. The QA evaluation grid assigns a compliance score without human intervention. Critical errors are thus detected immediately on 100% of processed calls.

Audio KPIs to understand the conversation structure

Beyond words, the physical indicators of the call reveal a wealth of information. CoglyAI extracts precise audio KPIs for each phone exchange.

• – Measurement of silence rate to identify hesitation or system slowness.

  – Analysis of mutual interruptions and speech overlaps.

  – Calculation of the talk time ratio between the agent and the customer.

  – Detection of tone of voice and speech rate.

An abnormally long silence time often explains an unjustified increase in AHT. By isolating these moments, CoglyAI shows precisely where the agent is losing time. This information helps correct incorrect handling of IT tools.

To optimize your support, discover how to structure effective AI agent coaching using our analysis models.

Generating objective scores for each agent

At the end of the analysis, the tool generates an overall score for the call. This automated QA grid eliminates cognitive biases from human evaluators. All agents are judged by the same strict and consistent criteria.

The results are displayed on a dynamic dashboard. Managers visualize agent performance progress in real time. They instantly identify the agents who require specific support.

What your contact center gains from the very first month

The implementation of CoglyAI's QA evaluation grid generates quick operational gains. The results are measured directly on your main performance indicators (KPIs).

A significant reduction in Average Handling Time

The analysis of silences and hesitations makes it possible to target technical or knowledge roadblocks. By correcting these points during training sessions, you will see an AHT reduction of 15% to 25% from the very first weeks.

Agents learn to structure their answers more concisely. They avoid unnecessary digressions and manage difficult customers better. Your calls become shorter, without ever sacrificing the quality of the customer relationship.

An improvement in FCR and customer satisfaction

By analyzing 100% of conversations, the tool detects the root causes of customer callbacks. You identify the reasons why a problem is not resolved upon first contact. This visibility allows actions to be taken for a clear improvement in FCR (First Contact Resolution).

Fast and efficient handling naturally leads to an increase in CSAT and Net Promoter Score (NPS). Customers appreciate the clarity and speed of the answers provided by your agents.

Total and effortless regulatory compliance

For call centers operating in France and Morocco, data security is a major priority. CoglyAI guarantees perfect GDPR compliance and scrupulously respects the requirements of CNDP compliance in Morocco.

• – Automatic masking of banking and personal data in audios.

  – Anonymization of text transcriptions before storage.

  – Sovereign data hosting within secure local infrastructures.

  – Strict management of access rights for evaluators and administrators.

You pass your compliance audits with peace of mind, without risk of financial penalties for your business.

Adopt the automated QA evaluation grid with CoglyAI

The integration of the CoglyAI quality assurance solution with Vocalcom radically transforms the management of your call flows. By automating the analysis of 100% of your conversations, you eliminate the blind spots of your operational steering.

The use of a QA evaluation grid connected to our artificial intelligence engine allows a reduction in your AHT of more than 20%. You simultaneously improve your agents' efficiency through targeted and fair support. Finally, you secure your business by respecting the strictest GDPR and CNDP standards thanks to our sovereign infrastructure.

Do not leave your agents' performance to the chance of manual call listening. Contact our experts today to schedule a free demonstration of CoglyAI and discover the hidden potential of your audio data.