Tarification

Supercharge your Autotask PSA knowledge base with AI

Swiftask connects your AI agents to Autotask PSA. Your technicians find answers to complex incidents in seconds by leveraging your ticket history.

Resultat:

Drastically reduce Mean Time to Resolution (MTTR) and capitalize on your team's technical expertise.

Searching for information in Autotask PSA is too slow

Your technicians waste valuable time digging through archived tickets, scattered documents, or outdated knowledge bases. The information exists, but it's hard to reach.

Les principaux impacts négatifs :

Technician cognitive overload: Difficulty in finding precise answers increases stress and slows down the resolution of level 2 and 3 tickets.
Loss of institutional knowledge: When a staff member leaves, their technical expertise contained in ticket resolutions risks leaving with them.
Inconsistent client responses: Without access to a unified knowledge base, the answers provided to clients vary from one technician to another.

Swiftask automatically indexes your Autotask PSA data to create an augmented knowledge base. Ask a question in natural language, and your AI agent extracts the relevant solution.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

The technician receives a complex ticket. They have to open Autotask PSA, run multiple keyword searches, manually browse closed ticket history, and hope to find a similar situation.

With Swiftask + Autotask PSA

The technician queries the Swiftask agent directly. The AI analyzes the ticket history in Autotask PSA and instantly proposes the exact technical procedure or validated solution.

Deploy your augmented base in 4 steps

ÉTAPE 1 : Secure connection

Connect your Autotask PSA instance to Swiftask via a secure integration.

ÉTAPE 2 : Intelligent indexing

Swiftask analyzes and indexes your resolved tickets and knowledge base articles to create a semantic repository.

ÉTAPE 3 : Agent configuration

Define your AI agent's instructions to answer technical questions from technicians.

ÉTAPE 4 : Real-time querying

Your technicians access the augmented base via the Swiftask chat.

Advanced features for MSPs

The AI understands the technical context of each ticket, identifies entities (hardware, software, error), and prioritizes solutions based on past success.

Connecteur cible : L'agent exécute les bonnes actions dans autotask psa selon le contexte de l'événement.
Actions automatisées : Semantic search in tickets, automatic summary of complex cases, resolution procedure extraction, response suggestions based on history.
Gouvernance native : All sources cited by the AI agent are linked directly to the original ticket in Autotask PSA for verification.

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.

Major operational benefits

1. MTTR reduction

Find solutions in seconds, not minutes.

2. Accelerated onboarding

New technicians become operational much faster.

3. Consistent service quality

Standardize technical resolutions across your entire team.

4. Knowledge capitalization

Turn every resolved ticket into a lasting asset for your company.

5. Focus on complex tasks

Free up time by automating routine information searches.

Security and confidentiality

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

Restricted access: The AI agent respects the permissions defined in your Autotask PSA instance.
Encrypted data: All indexed data is encrypted at rest and in transit.
Compliance: Solution designed for MSP environments with demanding security requirements.

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

RÉSULTATS

Impact on technical productivity

Métrique	Avant	Après
Information search time	10-20 min per ticket	< 30 seconds
First-contact resolution	Baseline	+25% increase
Onboarding time	3-6 months	1-2 months

Passez à l'action avec autotask psa

Drastically reduce Mean Time to Resolution (MTTR) and capitalize on your team's technical expertise.