Swiftask turns RelationCity data streams into actionable alerts. Never miss a critical signal again with 24/7 AI monitoring.
Result:
Save valuable time by automating the detection and distribution of alerts based on your business data.
AI Agents
relationcity
Connector relationcity · Secure OAuth 2.0
Monitoring changes in RelationCity manually is inefficient. Your teams waste time filtering through data, risking missed opportunities or critical risks due to sheer information overload.
Main negative impacts:
Limited reactivity
Human processing delays prevent immediate intervention during critical events detected in RelationCity.
Information noise
Too many unqualified alerts overwhelm your teams, making weak signals invisible.
Operational silos
Data remains trapped in RelationCity without triggering necessary actions in collaborative tools.
Swiftask connects RelationCity to an AI engine that analyzes, filters, and qualifies your data to alert you only on what requires immediate action.
BEFORE / AFTER
Manual management
A team member regularly checks RelationCity, exports files, manually compares changes, and emails stakeholders. The process is slow and error-prone.
Swiftask automation
As soon as a defined condition is met in RelationCity, the Swiftask agent analyzes the data, generates a contextual alert, and transmits it instantly to the right person.
1
STEP 1 : Initialize RelationCity feed
Connect your RelationCity instance to Swiftask via our secure connector to access real-time data.
2
STEP 2 : Define alert criteria
Use natural language to tell your AI agent the specific conditions that should trigger a notification.
3
STEP 3 : Configure delivery channels
Select where alerts should arrive (Slack, Teams, Email, CRM) based on the event's criticality.
4
STEP 4 : Continuous optimization
The agent learns from your feedback to reduce false positives and refine the relevance of sent alerts.
The agent evaluates priority, historical context of RelationCity data, and recipient profile to personalize the alert message.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-relationcity@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.
Eliminate manual monitoring and repetitive reporting tasks.
AI never gets tired and detects anomalies with consistency superior to humans.
Make decisions based on data updated to the second.
Configure your RelationCity alerts independently without writing a single line of code.
Add new alert types as your business needs evolve.
Swiftask applies enterprise-grade security standards for your relationcity automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Detection time | Several hours | Real-time |
| Workload | Heavily manual | Fully automated |
| Relevance rate | Generic alerts | Contextual targeted alerts |
Save valuable time by automating the detection and distribution of alerts based on your business data.