Pricing

Automate your MTTR tracking with Pulsetic and Swiftask

Swiftask synchronizes Pulsetic downtime alerts to measure your Mean Time To Repair (MTTR) without manual calculations.

Result:

Gain visibility into your service reliability and accelerate your incident resolution process.

Manual MTTR tracking hurts your responsiveness

Tracking MTTR manually is error-prone and slow. Between receiving a Pulsetic alert and updating your dashboard, precious minutes are lost, making performance data obsolete before it's even analyzed.

Main negative impacts:

Inaccurate performance data: Manual calculation often misses latency times, skewing your actual time to restore service.
Operational silos: Data remains trapped in Pulsetic without being correlated with your team's resolution actions.
Time-consuming reporting: Consolidating incidents to generate a monthly MTTR report takes hours instead of being instant.

Swiftask automates the capture of Pulsetic events. As soon as a downtime alert is triggered, the AI agent logs the timestamp and automatically correlates it with the resolution, providing accurate MTTR in real time.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A Pulsetic alert fires. An engineer manually notes the start time, then the end time after resolution, before updating an Excel spreadsheet at the end of the week.

With Swiftask + Pulsetic

Upon a Pulsetic alert, Swiftask creates an incident entry. Once resolved, the agent automatically calculates the elapsed time and updates your performance dashboard.

Automate your MTTR tracking in 4 steps

STEP 1 : Connect Pulsetic to Swiftask

Use Pulsetic webhooks to stream service status alerts directly to your Swiftask AI agent.

STEP 2 : Define calculation rules

Configure the agent to identify 'Downtime' and 'Uptime' events to precisely calculate the duration between them.

STEP 3 : Centralize your data

Configure the data destination (Database, Google Sheets, or internal dashboard) to visualize your MTTR.

STEP 4 : Analyze and optimize

View MTTR trends over time to identify critical services and improve your overall resilience.

AI agent analysis capabilities

The agent correlates Pulsetic alerts with your incident logs to ensure calculation accuracy.

Target connector: The agent performs the right actions in pulsetic based on event context.
Automated actions: Automated MTTR calculation by service. Export data to BI tools. Automated alerts if MTTR exceeds critical thresholds.
Native governance: Data is securely archived for your Service Level Agreement (SLA) compliance audits.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-pulsetic@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 automate MTTR tracking

1. Surgical precision

Eliminate human error in downtime calculation.

2. Operational time saving

Remove manual data entry for performance metrics.

3. Real-time reporting

Access your reliability KPIs at any time, without waiting for month-end.

4. Continuous improvement

Quickly identify bottlenecks to reduce your overall MTTR.

Monitoring data security

Swiftask applies enterprise-grade security standards for your pulsetic automations.

Data encryption: All Pulsetic alerts transit through secure channels (HTTPS).
Auditability: Every MTTR calculation is logged, allowing you to trace back to the source alert for verification.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your IT performance

Metric	Before	After
MTTR calculation time	Several hours / month	Real-time
Data accuracy	Prone to human error	100% automated and verifiable

Take action with pulsetic

Gain visibility into your service reliability and accelerate your incident resolution process.

Audit your Pulsetic uptime with AI

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