Swiftask connects to Alerty to analyze and filter your notifications in real time. Only receive what requires immediate action.
Result:
Eliminate noise, reduce alert fatigue, and focus on critical incidents.
AI Agents
alerty
Connector alerty · Secure OAuth 2.0
Monitoring tools like Alerty generate massive volumes of notifications. Most are false positives or low-priority alerts. The result: your teams are saturated, real incidents are buried, and reactivity drops.
Main negative impacts:
Alert fatigue
A constant stream of notifications leads to desensitization. Teams eventually ignore alerts, even the critical ones.
Time wasted on manual triage
Engineers spend hours manually qualifying alerts to determine what is truly urgent.
Increased resolution time
The delay between incident and corrective action increases because the signal is lost in the noise.
Swiftask deploys an AI agent that acts as an intelligent filter in front of Alerty. It analyzes every notification, evaluates its criticality, and only alerts you when necessary.
BEFORE / AFTER
Without Swiftask
Your team receives 200 alerts daily via Alerty. They must manually check every ticket. 90% are minor errors. Engineers are constantly interrupted, losing focus and productivity.
With Swiftask + Alerty
The Swiftask AI agent intercepts the 200 alerts. It groups 150 non-critical ones, ignores 40, and forwards only the 10 critical alerts with full context to your team.
1
STEP 1 : Create your Swiftask agent
Launch Swiftask and create an agent dedicated to alert qualification. No programming skills required.
2
STEP 2 : Integrate Alerty with your agent
Connect Alerty as a data source. Swiftask retrieves notification streams securely.
3
STEP 3 : Define your filtering rules
Teach your agent what matters. Use keywords, thresholds, or contextual patterns to define criticality.
4
STEP 4 : Activate intelligent routing
The agent now filters your alerts and forwards only relevant information to your communication or ticketing tools.
The agent examines text content, alert frequency, impacted services, and recent history to assess relevance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-alerty@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.
Remove useless alerts to focus only on incidents that truly matter.
Technical teams are no longer interrupted by false alerts, increasing overall productivity.
Critical incidents are identified and forwarded instantly.
Keep a record of all filtered and processed alerts for compliance reporting.
Adjust your filtering criteria in seconds without modifying your monitoring tool's source code.
Swiftask applies enterprise-grade security standards for your alerty automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Number of alerts handled manually | 100% | < 10% |
| Average detection time | High (lost in noise) | Immediate (prioritized) |
| Team fatigue | Critical | Controlled |
| Time to deploy | Weeks (dev) | Hours (no-code) |
Eliminate noise, reduce alert fatigue, and focus on critical incidents.