Tarification

Automated ticket triage in DevRev with your AI agents

Swiftask connects your AI agents to DevRev to handle incoming tickets. Analysis, classification, and assignment happen instantly, with no human effort.

Resultat:

Drastically reduce initial response time and free your support teams from repetitive sorting tasks.

Manual ticket triage slows down your support

As your ticket volume grows, manual triage becomes a bottleneck. Your support agents spend valuable time reading, classifying, and manually assigning each request, delaying critical issue resolution.

Les principaux impacts négatifs :

Increased response times: Time spent sorting tickets is time taken away from resolution. Customers wait unnecessarily.
Classification errors: Manual triage is prone to human error, leading to misrouted tickets and processing delays.
Team overload: Your support experts are tied up with administrative tasks instead of solving complex problems.

Swiftask automates your DevRev ticket triage. AI analyzes the content, detects urgency, categorizes the ticket, and assigns it to the right team, 24/7.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

A customer opens a ticket. A support agent must read it, identify the issue, set priority, and assign the ticket manually. If the agent is busy, the ticket sits in the queue.

With Swiftask + DevRev

As soon as a ticket is opened, the AI agent analyzes it. It classifies it, applies appropriate tags, sets priority, and assigns it automatically. The support agent receives a ticket ready for action.

Setting up your AI triage in 4 steps

ÉTAPE 1 : Define your triage rules

Configure your agent in Swiftask to recognize ticket types, products, or priority levels using natural language.

ÉTAPE 2 : Connect DevRev

Link your DevRev instance to Swiftask via a secure connection to allow reading and updating tickets.

ÉTAPE 3 : Activate intelligent analysis

The AI agent processes incoming tickets, extracts key data, and updates corresponding DevRev fields.

ÉTAPE 4 : Monitor performance

View triage actions in the Swiftask dashboard and fine-tune your agent's logic if needed.

AI triage capabilities for DevRev

The agent examines ticket text, customer history, and metadata for full contextual understanding before taking any action.

Connecteur cible : L'agent exécute les bonnes actions dans devrev selon le contexte de l'événement.
Actions automatisées : Automatic classification by category. Prioritization based on sentiment or keywords. Automatic assignment to relevant teams. Adding internal comments or automated responses. Updating custom fields in DevRev.
Gouvernance native : Every agent action is logged to ensure full transparency on triage decisions.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

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

Operational benefits of automated triage

1. Reduced first response time

Immediate ticket processing speeds up initial response.

2. Consistent processing

AI applies triage rules consistently, eliminating human-related variations.

3. Improved customer experience

Tickets are routed to the right team immediately, ensuring faster resolution.

4. Scalability without hiring

Manage growing ticket volumes without having to hire for sorting tasks.

5. Focus on resolution

Your support agents focus exclusively on high-value ticket resolution.

Security and compliance

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

Secure authentication: Native integration respecting DevRev security standards.
Granular control: You maintain full control over the agent's permissions in your DevRev instance.
Decision traceability: Every triage decision is logged to facilitate auditing.
Data protection: Your data remains private and is never used to train third-party models.

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

Métrique	Avant	Après
Manual triage time	3-5 minutes per ticket	Instant (automated)
Routing accuracy	Variable	Consistent (AI rules)
Backlog reduction	Manual accumulation	Continuous processed flow
Mean Time to Resolve (MTTR)	Standard	Reduced by 20-30%

Passez à l'action avec devrev

Drastically reduce initial response time and free your support teams from repetitive sorting tasks.

Générez des rapports de bugs DevRev automatiquement par IA

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