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Master your SLAs in Autotask PSA with AI

Swiftask monitors your Autotask PSA tickets in real time. Stop suffering from SLA breaches: get alerted and act before it's too late.

Resultat:

Drastically improve your performance metrics and MSP client satisfaction.

The constant risk of SLA breaches

In an MSP environment, SLAs are the heart of your credibility. Yet, manually managing hundreds of tickets in Autotask PSA inevitably leads to oversight, poor prioritization, and costly breaches.

Les principaux impacts négatifs :

Delayed detection: Teams realize an SLA is at risk only after receiving a breach notification, making any corrective action useless.
Cognitive overload: Your technicians spend valuable time manually sorting urgent tickets instead of solving technical issues.
Direct client impact: Every SLA breach erodes client trust and threatens your recurring contracts.

Swiftask connects your Autotask PSA instance to an AI agent dedicated to proactive monitoring. It continuously analyzes deadlines and proactively notifies your teams well before any breach occurs.

AVANT / APRÈS

Ce qui change avec Swiftask

Traditional reactive management

A critical ticket sits in the queue. No technician notices the approaching deadline. The SLA is breached. The client is frustrated. The manager intervenes in fire-fighting mode to manage the dissatisfaction.

Proactive management with Swiftask

The AI agent detects a ticket is at risk of breaching its SLA in 30 minutes. It immediately alerts the responsible technician in Teams or Slack. The ticket is handled before the breach. The SLA is met.

Setting up SLA monitoring in 4 steps

ÉTAPE 1 : Connect Swiftask to Autotask PSA

Link your Autotask PSA instance to Swiftask via a secure API to enable real-time ticket reading.

ÉTAPE 2 : Define your alert thresholds

Configure your agent's rules: for example, alert if a high-priority ticket hasn't been opened within 15 minutes.

ÉTAPE 3 : Choose your notification channels

Determine where the agent should send alerts: Teams channels, priority emails, or direct technician alerts.

ÉTAPE 4 : Enable intelligent monitoring

The agent runs in the background, analyzing every ticket movement to prevent any deadline slippage.

Your agent's monitoring capabilities

The agent analyzes ticket status, remaining time, priority, associated client, and interaction history.

Connecteur cible : L'agent exécute les bonnes actions dans autotask psa selon le contexte de l'événement.
Actions automatisées : Sending proactive alerts, automatic escalation if no action is taken, critical ticket summaries, reporting on SLA risks.
Gouvernance native : All sent alerts are logged for post-mortem analysis and continuous process improvement.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-autotask-psa@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 MSP operations

1. Consistent SLA adherence

Drastically reduce the number of breaches through constant monitoring.

2. More relaxed technicians

No longer fear missing a critical deadline thanks to our intelligent alerts.

3. Total transparency

Visualize risks in real time and optimize your team's workload.

4. Strengthened client trust

Reliable and responsive support is the best argument for client retention.

5. No-code configuration

Adapt your monitoring rules in a few clicks without any development knowledge.

Security and data privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations autotask psa.

Restricted API access: Swiftask uses secure API access limited to the data necessary for monitoring.
Stream encryption: All data flowing between Autotask and Swiftask is end-to-end encrypted.
MSP compliance: Access management compliant with the strictest security standards in the MSP sector.
Continuous audit: Full access to activity logs for total traceability of sent alerts.

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

RÉSULTATS

Improved performance metrics

Métrique	Avant	Après
SLA breach rate	High (manual)	Near 0% (automated)
Reaction time	Reactive (after breach)	Proactive (before breach)
Client satisfaction	Average	Excellent
Management effort	Very high	Minimal

Passez à l'action avec autotask psa

Drastically improve your performance metrics and MSP client satisfaction.

Synthétisez vos notes techniques Autotask PSA avec l'IA

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