Swiftask connects your AI agents to Zylvie. Move from reactive support to a proactive approach: identify issues before they impact your users.
Result:
Drastically reduce incoming ticket volume by solving friction points as soon as they appear.
AI Agents
zylvie
Connector zylvie · Secure OAuth 2.0
Waiting for a customer to contact you to solve a problem is an outdated strategy. Reactive support generates frustration, increases churn, and saturates your team with repetitive tasks.
Main negative impacts:
Degraded user experience
The customer has to make the effort to report an anomaly. This friction reduces satisfaction and trust in your service.
Help desk saturation
Forced reactivity clogs your support teams with similar requests, preventing them from handling high-value cases.
Lost loyalty opportunities
Every ticket is a failure in the user journey. Without proactivity, you miss the chance to turn a problem into a proof of service.
With Swiftask and Zylvie, your AI agent monitors customer data in real time. It detects weak signals and initiates personalized support before the customer feels abandoned.
BEFORE / AFTER
Traditional approach
A customer encounters an error on your platform. They search for the contact page, write an email, wait 24 hours for a response. Support eventually responds, but the customer is already annoyed.
Proactive support with Zylvie
The AI agent detects the error via Zylvie. It instantly sends a personalized message to the customer: 'We noticed an anomaly on your account, here is how we resolved it for you'. The customer feels valued.
1
STEP 1 : Configure your Swiftask AI agent
Define support scenarios in the Swiftask interface. Teach the agent to recognize warning signals specific to your business.
2
STEP 2 : Connect to the Zylvie ecosystem
Link Swiftask to your Zylvie instance to allow the agent to read user behavior and access necessary data.
3
STEP 3 : Set up triggers
Configure alerts based on actual actions (or lack thereof) in Zylvie to trigger an automatic intervention by the agent.
4
STEP 4 : Launch and optimize
Activate proactive mode. Use feedback collected in the Swiftask dashboard to refine the relevance of sent messages.
The agent analyzes usage logs, user journey, and interaction history in Zylvie to contextualize every support message.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-zylvie@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.
Positively surprising the customer by solving problems before they notice them sustainably strengthens loyalty.
By addressing incidents upstream, you free your teams from repetitive and time-consuming support tasks.
Automation allows you to scale your support without proportionally increasing your headcount.
Each proactive interaction is valuable data that helps your product team improve the interface and features.
Thanks to Swiftask, your proactive communications maintain a professional tone aligned with your brand identity.
Swiftask applies enterprise-grade security standards for your zylvie automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Resolution time | 24h to 48h (ticket) | Instant (proactive) |
| Ticket volume | High | -40% on average |
| Customer Satisfaction (CSAT) | Average | Strong growth |
| Human time spent | 80% of time | 20% (complex cases only) |
Drastically reduce incoming ticket volume by solving friction points as soon as they appear.