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.
AI Agents
aroflo
Connector aroflo · Secure OAuth 2.0
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
1
STEP 1 : Define incident rules
Configure in Swiftask how your AI should interpret incoming alerts (emails, forms, IoT).
2
STEP 2 : Connect securely to Aroflo
Use our native connectors to link your agent to your Aroflo instance via secure API.
3
STEP 3 : Configure automatic actions
Determine the actions: task creation, status updates, or technician notifications.
4
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
Ultra-fast response
Incidents are created and assigned instantly after the alert is received.
Reliable data
AI eliminates manual entry errors and standardizes information in Aroflo.
Field optimization
Technicians receive accurate and complete information in real-time on their mobile devices.
Effortless scalability
Handle an increasing volume of incidents without increasing administrative burden.
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
| Metric | Before | After |
|---|---|---|
| Incident creation time | 15-20 minutes | Less than 1 minute |
| Entry error rate | High (human) | Near zero (AI) |
| Technician responsiveness | Processing delays | Real-time |
Take action with aroflo
Drastically reduce incident response times and improve field team productivity.