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Streamline your Aroflo incident management with AI

Swiftask connects your AI agents to Aroflo. Turn technical alerts into structured work orders instantly, with zero manual input.

Result:

Drastically reduce incident response times and improve field team productivity.

Manual incident management slows down your field operations

In many maintenance companies, entering incidents into Aroflo is a slow, manual process. An alert comes in, it's forgotten, misclassified, or entered late. This lack of fluidity directly impacts technician responsiveness and customer satisfaction.

Main negative impacts:

  • Delayed incident entry: The gap between a problem occurring and its creation in Aroflo delays intervention scheduling.
  • Classification errors: Manual entry increases the risk of errors regarding criticality or incident location, complicating team workflows.
  • Communication bottlenecks: Field teams are not notified in real-time, wasting time on unnecessary travel.

Swiftask automates the interface with Aroflo. Our AI agents capture alerts, qualify the incident, and create or update work orders automatically.

BEFORE / AFTER

What changes with Swiftask

Traditional Aroflo management

A customer reports an issue via email. An employee must copy details, log into Aroflo, manually create a task, then assign a technician. The process takes 20 minutes.

Swiftask + Aroflo automation

Upon receiving the email, the Swiftask AI agent extracts key data, creates the incident in Aroflo, assigns the right technician, and sends a confirmation in under 30 seconds.

Deploy your Aroflo automation

STEP 1 : Define incident rules

Configure in Swiftask how your AI should interpret incoming alerts (emails, forms, IoT).

STEP 2 : Connect securely to Aroflo

Use our native connectors to link your agent to your Aroflo instance via secure API.

STEP 3 : Configure automatic actions

Determine the actions: task creation, status updates, or technician notifications.

STEP 4 : Test and go live

Activate the workflow and monitor the first incident creations from the Swiftask dashboard.

Intelligent capabilities for Aroflo

The agent analyzes the alert content to identify equipment type, urgency, and the associated customer.

  • Target connector: The agent performs the right actions in aroflo based on event context.
  • Automated actions: Automatic task creation, incident note enrichment, automatic technician assignment based on skills, push notifications to technicians.
  • Native governance: Full traceability of every action performed by the agent within the Aroflo history.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-aroflo@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Major operational benefits

1. Ultra-fast response

Incidents are created and assigned instantly after the alert is received.

2. Reliable data

AI eliminates manual entry errors and standardizes information in Aroflo.

3. Field optimization

Technicians receive accurate and complete information in real-time on their mobile devices.

4. Effortless scalability

Handle an increasing volume of incidents without increasing administrative burden.

5. Ensured compliance

Every step of incident management is documented and compliant with company processes.

Security and governance

Swiftask applies enterprise-grade security standards for your aroflo automations.

  • Secure Aroflo API: Using standard authentication protocols to protect access to your data.
  • Access control: Fine-grained management of execution permissions for each AI agent.
  • Full audit trail: Detailed logging of all interactions between Swiftask and Aroflo.
  • Data sovereignty: Your data remains under your total control within your Aroflo instance.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance

MetricBeforeAfter
Incident creation time15-20 minutesLess than 1 minute
Entry error rateHigh (human)Near zero (AI)
Technician responsivenessProcessing delaysReal-time

Take action with aroflo

Drastically reduce incident response times and improve field team productivity.

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