Tarification

Detect user bugs instantly with AI-powered insights

Swiftask analyzes LiveSession data to identify abnormal behavior. Your developers receive comprehensive reports the moment a bug occurs.

Resultat:

Shift from reactive to proactive debugging. Dramatically reduce resolution time.

Bug hunting is a slow, manual process

Identifying a bug often requires correlating vague user reports with complex logs. Your QA teams waste precious time trying to reproduce errors instead of fixing them.

Les principaux impacts négatifs :

Inaccurate user reports: Support tickets often lack context. Reproducing the exact user path is a major challenge.
Extended resolution time: The cycle between bug discovery, reproduction, and fixing is too long, directly impacting customer experience.
QA team burnout: Teams spend more time triaging tickets than improving overall application quality.

Swiftask automates monitoring via LiveSession. The AI agent detects anomalies in real-time, captures session context, and generates a documented ticket.

AVANT / APRÈS

Ce qui change avec Swiftask

Before automation

A user reports an error. The support team asks for screenshots. The developer tries to reproduce the action blindly. Hours are lost in back-and-forth communication.

With Swiftask + LiveSession

The AI agent detects the error in LiveSession. It automatically generates a report including the session video, logs, and precise actions. The developer has everything to fix it immediately.

Setting up intelligent monitoring

ÉTAPE 1 : AI agent configuration

Define anomaly indicators in Swiftask: JS errors, rage clicks, or form submission failures.

ÉTAPE 2 : LiveSession integration

Connect your LiveSession data to Swiftask to allow the agent to read session streams in real-time.

ÉTAPE 3 : Alert definition

Configure where to receive notifications: Slack, Jira, or directly in your ticket management tool.

ÉTAPE 4 : Reporting automation

The agent analyzes each alert and automatically enriches your tracking tool with necessary visual evidence.

AI detection capabilities

The agent analyzes the DOM, mouse events, and network errors to qualify the severity of the bug.

Connecteur cible : L'agent exécute les bonnes actions dans livesession selon le contexte de l'événement.
Actions automatisées : Automatic LiveSession replay capture, automatic categorization by error type, prioritization based on user impact, multi-channel notification.
Gouvernance native : Swiftask centralizes all reports for trend analysis on your product quality.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-livesession@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 technical teams

1. Accelerated resolution

Instantly access the full context of the error without waiting for user feedback.

2. Churn reduction

Fix critical bugs before they affect a large user base.

3. Increased productivity

Free your engineers from manual reproduction tasks.

4. Better collaboration

Tickets contain concrete evidence, avoiding debates between support and dev.

5. Continuous improvement

Identify the areas of your application most prone to bugs using aggregated data.

Session privacy

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

Automatic masking: Sensitive data in LiveSession replays is masked before analysis by the AI agent.
Restricted access: Only authorized members can access detailed reports in Swiftask.
GDPR compliance: Data processing adheres to the strictest security standards.
Secure infrastructure: Your session data remains isolated within your secure workspace.

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

RÉSULTATS

Impact on your performance metrics

Métrique	Avant	Après
Mean Time To Resolution (MTTR)	Several days	A few hours
Unqualified support tickets	High volume	Near zero
User satisfaction	Impacted by bugs	Improved by reactivity
Time spent in QA	Manual process	Full automation

Passez à l'action avec livesession

Shift from reactive to proactive debugging. Dramatically reduce resolution time.

Analysez les causes de churn grâce à LiveSession et Swiftask

Cas d'usage suivant.