Swiftask integrates with AirOps to turn your data sequences into intelligent, synchronized, and code-free automated business processes.
Result:
Boost operational agility by connecting your analytics tools to the execution power of your AI agents.
AI Agents
airops
Connector airops · Secure OAuth 2.0
Your teams use AirOps to structure data and models, but these insights often remain isolated. Manually moving information between your analytics tools and your action systems creates bottlenecks, data entry errors, and unacceptable business latency.
Main negative impacts:
Unused data silos
Results generated by AirOps do not automatically trigger concrete actions, requiring constant human intervention.
Fragile manual processes
Moving information between your analytics tools and operational systems is prone to human error and lack of standardization.
Lack of scalability
As your data volume grows, the cost of manually managing your workflows becomes prohibitive for your growth.
Swiftask acts as the execution layer for your AirOps workflows. By connecting both platforms, you automate the transition from analysis to action, ensuring seamless, fast, and error-free execution.
BEFORE / AFTER
Without Swiftask orchestration
Your team analyzes data in AirOps, manually exports results, processes them in another software, then triggers an action via email or messaging. This process takes hours and is completely disconnected from your real-time systems.
With Swiftask + AirOps
As soon as an analysis is finalized in AirOps, Swiftask receives the signal, processes the data via its AI agents, and automatically executes the necessary actions in your business tools. The workflow is continuous, instant, and monitored.
1
STEP 1 : Define AirOps triggers
Configure your data flows in AirOps to identify key events that must trigger an automation.
2
STEP 2 : Connect via Webhooks
Use webhooks to transmit your AirOps model outputs to Swiftask securely and instantly.
3
STEP 3 : Design the execution agent
In Swiftask, create an AI agent capable of receiving this data, interpreting it, and executing the required actions (CRM, ERP, Slack, etc.).
4
STEP 4 : Monitor and adjust
Monitor the success rate of your workflows from the Swiftask dashboard and adjust your decision rules in real time.
Swiftask analyzes data structures from AirOps to adapt agent behavior based on analysis results.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-airops@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.
Remove friction between your analytics tools and your execution tools.
Avoid developing complex scripts thanks to our no-code orchestration approach.
Your workflows handle growing data volumes without requiring additional headcount.
Automation eliminates copying and entry errors inherent in manual processes.
Centralized dashboard to track the progress of every business workflow.
Swiftask applies enterprise-grade security standards for your airops automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Workflow processing time | Several hours (manual) | A few milliseconds (automated) |
| Operational error rate | 5% to 10% | Less than 0.1% |
| Team productivity | Data entry time burden | Total focus on strategic analysis |
| Time-to-market | Heavy IT dependency | Agile no-code deployment |
Boost operational agility by connecting your analytics tools to the execution power of your AI agents.