Tarification

Decode the emotions behind your BotX interactions in real time

Swiftask connects your AI agents to BotX to analyze the sentiment of every exchange. Understand your customers' tone instantly and respond with precision.

Resultat:

Move from raw data processing to a strategic understanding of your users' feelings.

The volume of BotX exchanges makes manual analysis impossible

Your teams receive hundreds of messages daily via BotX. Without an analysis tool, it is impossible to detect weak signals, unhappy customers, or emerging trends before it's too late.

Les principaux impacts négatifs :

Delayed detection of dissatisfaction: Unhappy customers can get lost in the stream, leading to increased churn risk and damage to your brand reputation.
Underutilized unstructured data: Your BotX archives are full of valuable product insights, but this data remains dormant and unanalyzed.
Limited team reactivity: Without sentiment indicators, your staff treats requests uniformly, ignoring the emotional urgency behind certain messages.

Swiftask automates sentiment analysis on every BotX message. The AI qualifies the tone — positive, neutral, or negative — and triggers alerts or corrective actions instantly.

AVANT / APRÈS

Ce qui change avec Swiftask

Without automated analysis

Customer support skims through BotX messages. Critical messages get lost in the crowd. No global trends are extracted, and decisions are made on intuition without statistical evidence.

With Swiftask + BotX

Every incoming message is scored by AI in milliseconds. A drop in global sentiment triggers an immediate alert. The Swiftask dashboard displays emotional trends in real time.

Deploy sentiment analysis on BotX in 4 steps

ÉTAPE 1 : Connect your BotX instance

Link your BotX account to Swiftask via our secure interface to authorize the reading of message streams.

ÉTAPE 2 : Set analysis thresholds

Configure the sentiment levels that require special attention or an automated action.

ÉTAPE 3 : Activate intelligent alerts

Determine the trigger conditions: for example, send a Slack notification if negative sentiment is detected.

ÉTAPE 4 : Visualize insights

Track the evolution of customer sentiment directly from your Swiftask dashboard, ready for your weekly reports.

Advanced analysis capabilities for BotX

The AI agent evaluates polarity, intensity, and emotional context of messages, filtering out noise to keep only actionable insights.

Connecteur cible : L'agent exécute les bonnes actions dans botx selon le contexte de l'événement.
Actions automatisées : Automatic sentiment scoring per message. Sentiment aggregation by channel or user. Real-time alerts on sentiment anomalies. Automated trend reporting. Priority ticket routing based on sentiment.
Gouvernance native : All analyses are stored securely to allow for complete traceability of the user experience.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-botx@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.

Strategic advantages for your business

1. Improved retention rate

Identify at-risk customers before they churn thanks to early dissatisfaction detection.

2. Support quality optimization

Coach your teams on real friction points identified by the AI in BotX conversations.

3. Data-driven decision making

Base product decisions on concrete emotional KPIs rather than assumptions.

4. Operational time savings

Automate the sorting and prioritization of your BotX queues without human intervention.

5. Team alignment

Share clear customer health reports that are understandable by all departments.

Data privacy and compliance

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

Secure local analysis: Your BotX data is processed in an isolated environment, adhering to data protection standards.
Automatic anonymization: Swiftask can anonymize sensitive data before analysis to ensure GDPR compliance.
Access governance: Precisely control who has access to analysis reports within your organization.
Robust infrastructure: An architecture designed for scale, ensuring smooth analysis even with high BotX volumes.

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

RÉSULTATS

Key KPIs for your support performance

Métrique	Avant	Après
Crisis detection time	Several hours (manual)	Under 1 minute (AI)
Ticket sorting accuracy	Subjective and variable	Standardized and consistent
Customer Satisfaction (CSAT)	Stagnant	Rising thanks to reactivity
Volume of messages processed	Limited by human	Unlimited with AI analysis

Passez à l'action avec botx

Move from raw data processing to a strategic understanding of your users' feelings.

Optimisez vos flux avec le routage dynamique BotX et l'IA

Cas d'usage suivant.