Anticipate customer needs in RelationCity with AI
Swiftask connects your AI agents to RelationCity to move from reactive support to a proactive approach. Solve problems before they become tickets.
Result:
Drastically improve your CSAT while freeing your agents from low-value, repetitive tasks.
AI Agents
relationcity
Connector relationcity · Secure OAuth 2.0
Reactive support burdens your team and hurts customer experience
Waiting for a customer to report a problem in RelationCity is an outdated strategy. Reactive support creates bottlenecks, increases wait times, and frustrates end-users.
Main negative impacts:
Overloaded support teams
Your agents spend their time answering the same questions instead of solving complex issues.
Decreased retention
Slow or late support is the number one cause of churn. Customer experience suffers directly.
Lack of actionable insights
Support data remains isolated in RelationCity, with no predictive analysis to improve your product.
Swiftask deploys AI agents that monitor data within RelationCity. As soon as a risk or opportunity is detected, the AI acts proactively to guide the customer.
BEFORE / AFTER
What changes with Swiftask
The traditional approach
A customer encounters a difficulty. They open a ticket in RelationCity. Your team sees the ticket, looks for context, and responds several hours later. The customer is already unhappy.
Proactive approach with Swiftask
The AI detects an anomaly in the customer journey via RelationCity. It instantly sends relevant help or a guided solution to the customer. The problem is solved before a ticket is even opened.
Deploying your proactive support in 4 steps
1
STEP 1 : Define alert scenarios
Identify behaviors or account statuses in RelationCity that justify immediate intervention.
2
STEP 2 : Train your Swiftask AI agent
Give your agent access to your knowledge base and best resolution practices.
3
STEP 3 : Connect Swiftask to RelationCity
Configure the bridge to allow the AI to read data and initiate support actions.
4
STEP 4 : Monitoring and adjustment
Refine automation rules based on customer feedback and measured KPIs.
Capabilities of your dedicated AI agent
Real-time analysis of customer interactions, account status changes, and usage logs in RelationCity.
- Target connector: The agent performs the right actions in relationcity based on event context.
- Automated actions: Automatic sending of personalized tutorials, scheduling follow-up calls, maintenance alerts, or ticket qualification before human handover.
- Native governance: Every interaction is logged, ensuring complete traceability for your management teams.
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.
Why switch to proactive support?
Reduced ticket volume
Proactive resolution eliminates repetitive requests before they reach your queues.
Increased CSAT
Your customers feel valued and supported by an assistant that anticipates their needs.
Resource optimization
Your human agents focus only on complex cases requiring empathy.
Scalability without hiring
AI handles volume spikes without adding pressure to your teams.
Data-Action alignment
Transform RelationCity insights into immediate corrective actions.
Data security and privacy
Swiftask applies enterprise-grade security standards for your relationcity automations.
- Data isolation: Data from RelationCity is processed securely without being shared with other clients.
- GDPR compliance: Swiftask strictly follows personal data protection standards.
- Total control: You remain in control of automation rules and can disable the AI at any time.
- Audit logs: Full traceability of all actions taken by the AI agent in RelationCity.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your business
| Metric | Before | After |
|---|---|---|
| First Response Time (FRT) | Several hours | Instant |
| Incoming ticket volume | High (manual) | -40% (automation) |
| Agent productivity | Low (repetitive tasks) | High (expertise) |
| Customer Satisfaction (CSAT) | Standard | Constantly rising |
Take action with relationcity
Drastically improve your CSAT while freeing your agents from low-value, repetitive tasks.