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Analyze the sentiment of your Aidbase interactions automatically with AI

Swiftask connects to your Aidbase data to analyze the sentiment of every customer interaction in real time. Understand your users better without manual effort.

Resultat:

Identify at-risk clients before they churn and leverage positive feedback to improve your products.

Your customers' voices are lost in a massive volume of data

Every day, support tools like Aidbase accumulate thousands of interactions. Manually analyzing this data to understand your customers' true feelings is impossible at scale. You are missing critical weak signals.

Les principaux impacts négatifs :

  • Slow reaction to dissatisfaction: Unhappy customers are not detected in time. The risk of churn increases drastically without proactive detection.
  • Lack of structured data: Your product teams do not receive quantifiable feedback. Strategic decisions are based on impressions rather than facts.
  • Heavy workload for support teams: Manually reading and classifying every ticket to assess customer mood is a repetitive task that hinders productivity.

Swiftask connects AI to your Aidbase data to instantly analyze the sentiment of every interaction. You receive clear, structured, and actionable insights, with zero manual intervention.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

Support receives hundreds of tickets on Aidbase. No one knows what percentage is positive or negative. Major issues are handled case-by-case, and global trends remain invisible until it is too late.

With Swiftask + Aidbase

As soon as an interaction is logged in Aidbase, the Swiftask AI agent analyzes it. Sentiment is classified. Managers receive a weekly report or immediate alerts in case of dissatisfaction spikes.

Setting up Aidbase sentiment analysis in 4 steps

ÉTAPE 1 : Connect your Aidbase account

Integrate Aidbase with Swiftask via a secure connection. Your data remains private and protected.

ÉTAPE 2 : Define analysis models

Configure the agent to detect specific emotions: frustration, satisfaction, urgency, or feature requests.

ÉTAPE 3 : Configure alerts and reporting

Choose how to receive results: via a dashboard, a Slack channel, or automated email reports.

ÉTAPE 4 : Activate and analyze

The agent processes data in real time. You immediately access trends and insights on your customer satisfaction.

Key features of AI analysis

The AI agent evaluates tone, punctuation, vocabulary, and technical context to determine the precise sentiment score of each interaction.

  • Connecteur cible : L'agent exécute les bonnes actions dans aidbase selon le contexte de l'événement.
  • Actions automatisées : Automatic ticket classification (positive/negative/neutral). Urgency detection. Summary of recurring pain points. Data export to your BI tools.
  • Gouvernance native : All analyses are logged in Swiftask to allow for temporal comparison of customer satisfaction.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-aidbase@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why choose Swiftask for Aidbase

1. Churn rate reduction

Detect unhappy customers before they cancel their subscription.

2. Intelligent prioritization

Handle the most urgent tickets first thanks to sentiment analysis.

3. Data-driven product insights

Identify which features generate the most frustration.

4. Operational time saving

Automate the sorting and classification of thousands of customer messages.

5. Continuous improvement

Measure the impact of your product changes on customer sentiment.

Data security

Swiftask applique des standards de sécurité enterprise pour vos automatisations aidbase.

  • Data encryption: All data from Aidbase is encrypted at rest and in transit.
  • Privacy compliance: Your data is not used to train public AI models.
  • Audit and compliance: Full history of access and analyses performed.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measure the impact on your customer support

MétriqueAvantAprès
Analysis timeDays/weeksReal time
Detection accuracySubjective (human)Consistent (AI)
Customer responsivenessReactiveProactive

Passez à l'action avec aidbase

Identify at-risk clients before they churn and leverage positive feedback to improve your products.

Générez vos rapports Aidbase automatiquement grâce à l'IA

Cas d'usage suivant.