Swiftask connects your AI agents to Keysender to deliver personalized support messages before your customers even reach out to your technical team.
Result:
Drastically reduce incoming ticket volume and increase customer satisfaction through a proactive approach.
AI Agents
keysender
Connector keysender · Secure OAuth 2.0
Waiting for a customer to encounter a problem before intervening is a costly strategy. Support teams are overwhelmed by repetitive questions, and customers lose patience with increasing wait times.
Main negative impacts:
Support team overload
Manual handling of simple requests monopolizes your experts, preventing them from focusing on high-value complex cases.
Growing customer frustration
Every minute spent waiting for a simple resolution degrades your brand perception and increases churn rates.
Lack of personalization
Generic responses sent late do not solve the feeling of neglect experienced by the user facing a bug or misunderstanding.
With Swiftask and Keysender, switch to proactive support. Your AI agents detect weak signals, trigger contextual assistance messages, and resolve issues before they become critical.
BEFORE / AFTER
The traditional reactive model
The customer encounters a problem, searches for a way to contact you, opens a ticket, and waits for a human response. Meanwhile, they are blocked and unhappy.
The Swiftask + Keysender proactive support
As soon as an anomaly or need is detected, Swiftask generates a personalized message via Keysender. The customer receives immediate help, often before even formalizing their complaint.
1
STEP 1 : Configure the agent in Swiftask
Create an AI agent dedicated to customer support. Define its tone guidelines and the use cases where it should intervene proactively.
2
STEP 2 : Integrate Keysender as a broadcast channel
Connect Keysender to your Swiftask workspace. The link allows for fluid and secure communication with your user bases.
3
STEP 3 : Define behavioral triggers
Identify the customer actions or inactions that should trigger proactive help (e.g., getting stuck on a step, recurring error).
4
STEP 4 : Automate and optimize
Activate the agent. Track resolution rates and adjust the AI's messages to continuously improve the customer experience.
The agent analyzes usage data, customer context, and interaction history in real-time to formulate the most relevant response.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-keysender@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.
Solving problems upfront frees up your support team for complex tasks.
Proactive support shows your customers you care about their success, strengthening their commitment.
Handle thousands of simultaneous interactions with your AI agents without increasing your payroll.
Ensure a uniform quality of response, regardless of query volume, thanks to AI.
Use data from your interactions to identify friction points in your product.
Swiftask applies enterprise-grade security standards for your keysender automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Incoming ticket volume | High (manual) | -30% to -50% (thanks to AI) |
| Resolution time | Several hours | Instant |
| Customer satisfaction (CSAT) | Variable | Significant increase |
| Cost per ticket | High | Drastically reduced |
Drastically reduce incoming ticket volume and increase customer satisfaction through a proactive approach.