Drive dynamic workflows in Cockpit with AI
Swiftask injects artificial intelligence into your Cockpit processes. Your workflows are no longer static; they adapt instantly to your real-time data.
Result:
Gain agility and eliminate operational bottlenecks through automated and adaptive orchestration.
AI Agents
cockpit
Connector cockpit · Secure OAuth 2.0
Rigid processes are slowing down your productivity
Traditional workflows in Cockpit are often linear and rigid. When a variable changes or priorities shift, human intervention is required to adjust. This lack of flexibility creates delays and high cognitive load for your teams.
Main negative impacts:
Inability to adapt quickly
Your current processes struggle to react to unforeseen market changes or incoming data without manual reconfiguration.
Data silos and errors
Manual transfer of information between workflow stages increases error risks and slows down project lifecycles.
High maintenance costs
Adapting complex workflows often requires technical resources, which is costly and time-consuming.
Swiftask connects your Cockpit data to AI agents capable of re-evaluating and modifying workflows in real time, ensuring smooth and intelligent execution.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
A priority shift occurs. A manager must manually pause the workflow, update steps in Cockpit, notify stakeholders, and restart the process. Significant time is wasted.
With Swiftask + Cockpit
The AI agent detects the priority change via your data. It automatically recalculates the critical path in Cockpit, updates tasks, and informs relevant team members with zero manual effort.
Deploying your intelligent processes in 4 steps
1
STEP 1 : Define business logic
Configure your workflow objectives in Swiftask. Set the conditions and decision rules the AI must follow.
2
STEP 2 : Connect to your Cockpit instance
Establish a secure link with Cockpit to allow Swiftask to read and write data in real time.
3
STEP 3 : Set AI trigger parameters
Identify data events that require a dynamic adjustment of the workflow.
4
STEP 4 : Deploy and learn
Activate the agent. It immediately begins orchestrating tasks while learning from your data to optimize future cycles.
Intelligent orchestration capabilities
The AI continuously analyzes data inputs, execution times, and intermediate results to adjust the workflow trajectory.
- Target connector: The agent performs the right actions in cockpit based on event context.
- Automated actions: Automatic step adjustment. Intelligent task prioritization. Request routing based on workload. Multi-source integration. Predictive alerts for process drift.
- Native governance: All decisions made by the agent are auditable via the Swiftask dashboard.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-cockpit@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.
Strategic advantages for your business
Increased operational agility
Your processes adapt instantly to context changes without human delay.
Reduced human error
AI automation eliminates oversights and manual entry errors in your workflows.
Resource optimization
Your teams focus on strategy while the AI manages technical task execution.
Full visibility and control
Keep an overview of every workflow status and the decisions made by the AI.
Scalability without complexity
Scale your operations without needing to hire more staff or overcomplicate your IT architecture.
Data security and governance
Swiftask applies enterprise-grade security standards for your cockpit automations.
- Secure authentication: Encrypted connection between Swiftask and Cockpit via restricted access tokens.
- Decision governance: You retain final control: set AI guardrails and approve major changes.
- Compliance and audit: Every workflow modification is tracked and available for your compliance reports.
- Environment isolation: Your data remains siloed and secure within your dedicated instance.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on operational performance
| Metric | Before | After |
|---|---|---|
| Workflow cycle time | Several days | A few hours |
| Process error rate | 15% | Less than 1% |
| Adaptability to change | Slow (manual) | Instant (AI) |
| Technical maintenance | High | Minimal (no-code) |
Take action with cockpit
Gain agility and eliminate operational bottlenecks through automated and adaptive orchestration.