Preventive maintenance: Automate your interventions with Paigo and Swiftask
Swiftask integrates with Paigo to monitor your assets. Transform technical data into immediate actions to anticipate failures before they occur.
Result:
Minimize production downtime and extend equipment life through reactive and intelligent maintenance.
AI Agents
paigo
Connector paigo · Secure OAuth 2.0
Manual maintenance management is expensive for your operations
Reactive maintenance is a financial drain. Waiting for a machine to break down leads to high repair costs and unplanned production stops. Technical teams, overwhelmed by manual processing of Paigo data, lack the visibility to prioritize their interventions effectively.
Main negative impacts:
Costly machine downtime
Unanticipated failures interrupt your production lines. The cost of downtime is critical to profitability.
Data processing overload
Your technicians waste valuable time manually analyzing Paigo reports instead of performing field interventions.
Inefficient reactive maintenance
The lack of early warning turns every incident into an emergency, increasing stress and human error risks.
Swiftask automates the bridge between Paigo and your teams. Our AI agents analyze your maintenance data in real time and trigger alerts or work orders as soon as a critical threshold is reached.
BEFORE / AFTER
What changes with Swiftask
Traditional maintenance
Paigo sensor data accumulates. A technician checks reports once a day. They identify an anomaly too late. They must then manually create a work order, notify teams, and order parts, all while the machine is already down.
Maintenance augmented by Swiftask
As soon as an abnormal trend is detected in Paigo, Swiftask analyzes the severity. The agent instantly notifies the relevant technician via Teams/Slack, creates a maintenance ticket, and suggests necessary parts. The intervention is planned before failure.
Deploying your intelligent maintenance strategy
1
STEP 1 : Secure Paigo connection
Connect Swiftask to your Paigo instance via our native connector to access real-time data streams.
2
STEP 2 : Definition of critical thresholds
Configure your maintenance rules in Swiftask: which Paigo indicators should trigger an alert?
3
STEP 3 : Automation of responses
Define automatic actions: SMS alerts, ticket creation, or updating asset status.
4
STEP 4 : Monitoring and adjustment
Supervise your AI agent's performance and refine maintenance parameters continuously.
Key features for your technical operations
The AI evaluates the criticality of Paigo data, cross-references failure histories, and prioritizes interventions based on operational impact.
- Target connector: The agent performs the right actions in paigo based on event context.
- Automated actions: Automatic threshold alert. Maintenance ticket creation in your CMMS. Daily risk asset reporting. Multi-channel notification for technical managers.
- Native governance: All actions are logged and auditable, ensuring full compliance with ISO maintenance standards.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-paigo@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.
Operational benefits of Paigo automation
Reduced downtime
Intervene before failure thanks to automated preventive analysis.
Increased productivity
Your technicians focus on repair, not on screen monitoring.
Optimized inventory management
Anticipate spare part needs through predictive alerts.
Intervention traceability
Complete history of every generated alert and action taken.
Fast ROI
Significant reduction in corrective maintenance costs within a few months.
Security and integrity of industrial data
Swiftask applies enterprise-grade security standards for your paigo automations.
- TLS Encryption: All Paigo data is encrypted during transfer to Swiftask.
- Granular access management: Control exactly who can configure automation rules.
- Industrial compliance: Solution designed to respect security protocols of critical environments.
- Isolated architecture: Swiftask ensures the airtightness of your maintenance data.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Maintenance performance indicators
| Metric | Before | After |
|---|---|---|
| Failure detection time | Hours (manual) | Seconds |
| Machine availability | Variable | +15-20% estimated |
| Average repair cost | High (emergency) | Reduced (planned) |
| Maintenance admin burden | 20% of time | 5% of time |
Take action with paigo
Minimize production downtime and extend equipment life through reactive and intelligent maintenance.