Swiftask monitors your HelpDesk tickets in real-time. Our AI agents identify SLA breach risks and alert your teams before time runs out.
Result:
Guarantee compliance with your service commitments and boost long-term customer satisfaction.
AI Agents
helpdesk
Connector helpdesk · Secure OAuth 2.0
Manual SLA tracking is an ongoing struggle. Between high ticket volumes, shifting priorities, and time zones, it is easy to miss a critical deadline. The result: lower service quality and increased stress for your support agents.
Main negative impacts:
Increased risk of breaches
Without proactive visibility, tickets nearing their deadline go unnoticed until the SLA is already broken.
Cognitive overload for agents
Your teams spend more time sorting through queues than resolving complex customer issues.
Lack of decision-making data
It is difficult to analyze root causes of delays without automated and granular tracking of every interaction.
Swiftask transforms your HelpDesk into an intelligent system. Our AI agents analyze every ticket, calculate remaining SLA time, and trigger instant corrective actions.
BEFORE / AFTER
Traditional SLA Management
A critical ticket arrives. The agent must manually check the deadline, monitor the clock, and hope no other urgent ticket interrupts their workflow. If they forget, the alert comes after the SLA is breached.
SLA Management with Swiftask
As soon as a ticket is created, Swiftask calculates the SLA. If time becomes critical, the AI immediately notifies the assigned agent via Teams or Slack, and can even escalate the ticket if no action is taken.
1
STEP 1 : Connector configuration
Connect your HelpDesk tool to Swiftask via our secure interface to import your ticket streams.
2
STEP 2 : Define SLA rules
Set alert thresholds and priorities directly in Swiftask, tailored to your different service levels.
3
STEP 3 : Activate AI alerts
Define notification channels (email, Teams, Slack) where your agents will be alerted in real-time.
4
STEP 4 : Monitoring and optimization
Track your SLA performance via the Swiftask dashboard and optimize your processes continuously.
The AI analyzes ticket content, customer history, and current team workload to predict SLA breach risks.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-helpdesk@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.
Drastically reduce SLA violation rates through continuous monitoring.
Your agents always handle the most critical tickets first.
Faster and more precise responses build stronger customer trust.
Generate precise performance reports on your SLA metrics with one click.
Adjust your SLA rules without relying on complex technical development.
Swiftask applies enterprise-grade security standards for your helpdesk automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Average Response Time (FRT) | Variable / Unstable | Consistent improvement |
| SLA compliance rate | 80-85% | 95-99% |
| Unresolved tickets | High | Near zero |
Guarantee compliance with your service commitments and boost long-term customer satisfaction.