Drive live call performance with Swiftask and Autocalls
Swiftask instantly analyzes data streams from your Autocalls. Get critical insights to adjust your strategies in real-time.
Result:
Stop just collecting data. Turn every call into an immediate optimization opportunity for your teams.
AI Agents
autocalls
Connector autocalls · Secure OAuth 2.0
The lack of visibility into your call performance
Most companies wait until the end of the week or month to analyze their call metrics. This time lag prevents quick corrections, letting sales opportunities or customer service issues go unresolved for too long.
Main negative impacts:
Delayed reaction to issues
Negative trends are only detected after they have significantly impacted your results, making corrective actions costly.
Untapped data
Your calling tools generate massive volumes of data that often go ignored due to lack of real-time automated processing.
Intuition-based decisions
Without real-time insights, managers navigate blindly instead of relying on factual evidence to lead their teams.
Swiftask connects to Autocalls to analyze your call data continuously. The AI extracts key KPIs and alerts you instantly to any deviation or opportunity.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
Managers manually extract reports from Autocalls. By the time the data is processed, the anomalies are already old. Teams continue operating with inefficient methods for days.
With Swiftask + Autocalls
Swiftask monitors Autocalls streams. If a KPI drops, an alert is generated instantly. Managers intervene immediately, adjusting the script or coaching in real-time.
Set up your analytics in 4 steps
1
STEP 1 : Connect Autocalls to Swiftask
Configure the secure API connection between Autocalls and your Swiftask workspace to enable data flow.
2
STEP 2 : Define your performance KPIs
Select the indicators to monitor: conversion rate, average duration, customer satisfaction, or abandonment rate.
3
STEP 3 : Configure intelligent alerts
Set performance thresholds. Swiftask notifies you automatically as soon as an anomaly is detected.
4
STEP 4 : Visualize and act
View your dynamic dashboards in Swiftask and make data-driven decisions.
Key analytics features
Swiftask's AI segments data by campaign, agent, time of day, and call type.
- Target connector: The agent performs the right actions in autocalls based on event context.
- Automated actions: Real-time KPI tracking. Automated alerts via Slack or Email. Comparative performance analysis of agents. Automated identification of best practices.
- Native governance: All analyses are centralized in an intuitive interface for quick performance review.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-autocalls@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.
Benefits for your operations
Increased reactivity
Immediate correction of call strategies thanks to real-time alerts.
Improved ROI
Optimization of call campaigns based on evidence, reducing resource waste.
Personalized coaching
Precise data on each agent for targeted and effective support.
Operational time saving
Total automation of data collection and analysis.
Total visibility
Centralized dashboards for a clear understanding of overall activity.
Security and compliance
Swiftask applies enterprise-grade security standards for your autocalls automations.
- Data encryption: All data transit between Autocalls and Swiftask is encrypted.
- GDPR compliance: Data processing complies with European data protection standards.
- Restricted access: Strict user access control within your Swiftask instance.
- Data integrity: Data is processed securely without being shared with third parties.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable impact on your performance
| Metric | Before | After |
|---|---|---|
| Anomaly detection time | Several days | Instant |
| Time spent on reporting | Several hours per week | 0 (automated) |
| Decision accuracy | Based on obsolete data | Based on real-time |
| Managerial reactivity | Reactive (after the fact) | Proactive (ongoing) |
Take action with autocalls
Stop just collecting data. Turn every call into an immediate optimization opportunity for your teams.