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Summarize your Autotask PSA technical notes with AI

Swiftask analyzes your raw entries in Autotask PSA to generate clear, structured summaries. Your technicians get the essential information at a glance.

Resultat:

Eliminate the cognitive load of reading long ticket histories. Speed up client resolution.

Technical documentation is a bottleneck

In the MSP world, tickets pile up. Technicians enter disparate, fragmented, or overly long notes. The result: major time loss during ticket handovers, misunderstanding errors, and incomplete client documentation.

Les principaux impacts négatifs :

  • Time loss during handover: Every technician change requires reading long threads of notes, slowing down immediate action.
  • Unusable documentation: Unstructured notes make trend analysis or effective reporting for your clients impossible.
  • Team cognitive fatigue: Spending hours manually synthesizing notes degrades the motivation and productivity of your experts.

Swiftask connects to Autotask PSA to read, analyze, and automatically summarize every technical update. The agent extracts key points, completed actions, and next steps.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

A technician opens a ticket with 50 scattered notes. They must read everything, filter the noise, and try to understand the current resolution status. They lose 10 minutes before even starting to act.

With Swiftask + Autotask PSA

As soon as a note is added, the Swiftask agent generates an executive summary at the top of the ticket. The technician sees instantly: 'Problem identified, step X completed, waiting for client response'. Immediate time savings.

How to deploy AI on your tickets in 4 steps

ÉTAPE 1 : Link your Autotask PSA instance

Connect Swiftask securely via API. Define the ticket types or queues to monitor.

ÉTAPE 2 : Configure the summary template

Choose the desired output format: concise style, detailed technical, or client report. The AI adapts to your standards.

ÉTAPE 3 : Trigger automatic analysis

The agent activates upon every new note added or according to a set schedule to update existing summaries.

ÉTAPE 4 : Visualize the result

The summary is injected directly into the internal note field or at the top of the ticket in Autotask PSA.

AI processing capabilities for your tickets

The AI identifies technical entities, critical dates, contributor names, and recurring issues within Autotask's Time Entries and Notes.

  • Connecteur cible : L'agent exécute les bonnes actions dans autotask psa selon le contexte de l'événement.
  • Actions automatisées : Generate a structured summary. Extract pending actions (To-Do). Detect critical blocks. Standardize technical terminology. Archive summaries into custom fields.
  • Gouvernance native : You keep full control: validate summaries before publication or let the AI operate in fully autonomous mode.

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.

Operational gains for your MSP

1. Faster MTTR

Mean Time To Resolution drops thanks to instant context understanding by technicians.

2. Consistent service quality

No matter who writes the note, the summary is always structured in a professional and clear manner.

3. Automated documentation

Stop wasting time writing reports. The AI turns your field notes into clean documentation.

4. Better client experience

Faster and more accurate updates strengthen your clients' trust in your support.

5. Scalable support

Handle more tickets with the same team thanks to automated administrative tasks.

Technical data privacy

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

  • Data encryption: All data transiting between Autotask and Swiftask is encrypted in transit and at rest.
  • Environment isolation: Each client instance is isolated. Your data is never shared between different clients.
  • MSP compliance: Solution designed to meet strict client data privacy requirements (GDPR, etc.).
  • Granular control: You decide precisely which tickets are processed by the AI via Swiftask filters.

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

RÉSULTATS

Measurable results on your productivity

MétriqueAvantAprès
Ticket reading time5 to 10 minutesUnder 30 seconds
Documentation accuracyVaries by technicianStandardized and consistent
Daily admin time1.5 hours per technicianUnder 15 minutes
Handover error rateHighNear zero

Passez à l'action avec autotask psa

Eliminate the cognitive load of reading long ticket histories. Speed up client resolution.

Analysez vos tendances d'incidents Autotask PSA par IA

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