Pricing

Intelligently filter your Alerty alerts with AI agents

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.

Alert overload paralyzes your technical teams

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

What changes with Swiftask

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.

Set up your intelligent Alerty filter in 4 steps

STEP 1 : Create your Swiftask agent

Launch Swiftask and create an agent dedicated to alert qualification. No programming skills required.

STEP 2 : Integrate Alerty with your agent

Connect Alerty as a data source. Swiftask retrieves notification streams securely.

STEP 3 : Define your filtering rules

Teach your agent what matters. Use keywords, thresholds, or contextual patterns to define criticality.

STEP 4 : Activate intelligent routing

The agent now filters your alerts and forwards only relevant information to your communication or ticketing tools.

AI agent filtering capabilities

The agent examines text content, alert frequency, impacted services, and recent history to assess relevance.

Target connector: The agent performs the right actions in alerty based on event context.
Automated actions: Duplicate removal. Alert grouping by incident. Enriching alerts with business data. Conditional routing based on criticality. Automatic escalation if no response is provided.
Native governance: All filtering decisions are logged to allow for audit and continuous adjustment of your rules.

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.

Benefits for your IT operations

1. Drastic noise reduction

Remove useless alerts to focus only on incidents that truly matter.

2. Improved focus

Technical teams are no longer interrupted by false alerts, increasing overall productivity.

3. Increased reactivity

Critical incidents are identified and forwarded instantly.

4. Alert governance

Keep a record of all filtered and processed alerts for compliance reporting.

5. No-code flexibility

Adjust your filtering criteria in seconds without modifying your monitoring tool's source code.

Security for your monitoring data

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

Secure connection: The integration follows standard security protocols for data transfer between Alerty and Swiftask.
Access control: Only authorized members can modify agent filtering rules.
Confidentiality: Swiftask only stores the metadata necessary for agent operations, ensuring log confidentiality.
Full audit: Track every agent action to ensure total transparency on the filtering performed.

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

RESULTS

Measurable impact on incident management

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)

Take action with alerty

Eliminate noise, reduce alert fatigue, and focus on critical incidents.