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Route your support tickets automatically with AI

Swiftask integrates with MonkeyLearn to analyze and classify your customer tickets in real time, routing them instantly to the right experts.

Resultat:

Dramatically reduce manual sorting time and boost customer satisfaction with ultra-responsive support.

Manual ticket management slows down your support

Manual ticket sorting is a costly and error-prone task. Your support agents waste precious time reading, categorizing, and reassigning requests that could be handled automatically.

Les principaux impacts négatifs :

  • Increased response delays: Tickets sit in a general queue before being sorted, artificially increasing waiting times for your customers.
  • Frequent assignment errors: Human sorting is prone to mistakes. A technical ticket sent to the sales department creates unnecessary friction.
  • Support team burnout: Your experts spend as much time sorting as they do solving complex issues, hurting overall productivity.

Swiftask uses MonkeyLearn's classification power to analyze the content of every incoming ticket and automatically assign it to the right agent or department, with no human intervention.

AVANT / APRÈS

Ce qui change avec Swiftask

The traditional process

The ticket arrives in the support mailbox. An agent spends 3 minutes reading the message to understand the topic, then manually forwards it to the relevant department. The customer waits while the sorting agent processes other tickets.

The Swiftask + MonkeyLearn workflow

The ticket arrives. MonkeyLearn analyzes the text instantly and identifies the intent. Swiftask routes the ticket to the right agent or specific queue in under a second. The agent receives a notification with the ticket already qualified.

4 steps to automate your routing

ÉTAPE 1 : Train your model on MonkeyLearn

Use MonkeyLearn to create a custom classification model based on your ticket categories (e.g., Tech, Billing, Sales).

ÉTAPE 2 : Connect MonkeyLearn to Swiftask

Integrate your MonkeyLearn model into Swiftask via a secure API key in just a few clicks.

ÉTAPE 3 : Define routing rules

Configure Swiftask to act based on classification results (e.g., if category = 'Billing', assign to 'Finance Team').

ÉTAPE 4 : Go live

As soon as a new ticket arrives, the AI agent analyzes it and applies routing instantly.

Analysis and routing capabilities

The AI agent analyzes tone, subject, keywords, and urgency of the ticket for precise classification.

  • Connecteur cible : L'agent exécute les bonnes actions dans monkeylearn selon le contexte de l'événement.
  • Actions automatisées : Multi-tag classification, automatic routing to specific channels or agents, adding priority labels, and triggering alerts for critical tickets.
  • Gouvernance native : Swiftask ensures service continuity and audits every routing decision made by the AI.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

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

Benefits for your customer service

1. Reduced handling time

Eliminate time spent manually sorting tickets.

2. Increased accuracy

AI doesn't make careless mistakes, ensuring every ticket goes to the right expert.

3. Better customer experience

Your customers get faster, more relevant responses.

4. Effortless scalability

The system handles thousands of additional tickets without needing more sorting staff.

5. Focus on complex tasks

Your agents focus only on solving customer issues.

Security and compliance

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

  • Data protection: Data travels through secure, encrypted channels between Swiftask and MonkeyLearn.
  • Full control: You maintain control over classification rules and can adjust them at any time.
  • GDPR compliance: Swiftask adheres to the strictest security standards for handling customer data.

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

RÉSULTATS

Impact on your key metrics

MétriqueAvantAprès
Initial response timeSeveral hoursInstant
Assignment errors15-20% of ticketsLess than 2%
Agent productivityBased on manual sortingOptimized for resolution

Passez à l'action avec monkeylearn

Dramatically reduce manual sorting time and boost customer satisfaction with ultra-responsive support.

Extrayez automatiquement vos entités clés grâce à Swiftask et MonkeyLearn

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