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.
The hidden cost of purely reactive support
Waiting for a customer to contact you to solve a problem is an outdated strategy.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:
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
What changes with Swiftask
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.
Deploy your proactive strategy in 4 steps
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.
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.
STEP 3 : Set up triggers
Configure alerts based on actual actions (or lack thereof) in Zylvie to trigger an automatic intervention by the agent.
STEP 4 : Launch and optimize
Activate proactive mode. Use feedback collected in the Swiftask dashboard to refine the relevance of sent messages.
Advanced features for your agents
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.
Why switch to proactive support?
1. Increased satisfaction rate
Positively surprising the customer by solving problems before they notice them sustainably strengthens loyalty.
2. Reduced ticket volume
By addressing incidents upstream, you free your teams from repetitive and time-consuming support tasks.
3. Increased operational efficiency
Automation allows you to scale your support without proportionally increasing your headcount.
4. Actionable data
Each proactive interaction is valuable data that helps your product team improve the interface and features.
5. Brand consistency
Thanks to Swiftask, your proactive communications maintain a professional tone aligned with your brand identity.
Reliability and data security
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
Measurable impact on your business
| 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) |
Take action with zylvie
Drastically reduce incoming ticket volume by solving friction points as soon as they appear.