Pricing

Datawaves: Intelligent and contextual AI alerting

Swiftask turns your Datawaves data streams into actionable insights. Stop the noise, receive only the notifications that actually matter.

Result:

Save valuable time by filtering noise and automating your response to critical anomalies.

Datawaves alert overload kills your efficiency

Your systems generate thousands of Datawaves events every day. Without proper filtering, your teams are drowning in unimportant notifications, risking missing critical alerts.

Main negative impacts:

Alert fatigue: The constant volume of unprioritized notifications leads teams to ignore alerts, even the most severe ones.
Loss of context: An isolated data point means nothing. Without analysis, you lose the big picture required for decision-making.
Slow reactive response: Time spent manually sorting alerts is time lost for actual problem resolution.

Swiftask analyzes your Datawaves streams in real time. Our AI agent filters the noise, correlates events, and alerts you only when your intervention is strictly necessary.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

You receive raw alerts for every threshold crossed in Datawaves. Your team must manually verify each alert to determine if it requires action, wasting hours every day.

With Swiftask + Datawaves

The Swiftask AI agent monitors Datawaves. It ignores normal fluctuations, detects abnormal trends, and sends a contextual alert with a recommendation for immediate action.

Setting up your AI alerting in 4 steps

STEP 1 : Connect your Datawaves sources

Integrate your Datawaves data streams into Swiftask in a few clicks via our native connector.

STEP 2 : Define your criticality rules

Teach the agent what constitutes an anomaly. Use simple conditions or pre-trained AI models.

STEP 3 : Configure alert channels

Choose where to receive your smart alerts: Slack, Teams, Email, or directly in your business tools.

STEP 4 : Activate predictive analysis

Let the AI refine alerts over time to eliminate false positives and improve accuracy.

Capabilities for analyzing Datawaves data

The agent examines historical patterns, cross-source correlations, and event severity to prioritize every alert.

Target connector: The agent performs the right actions in datawaves based on event context.
Automated actions: Intelligent noise filtering. Complex event correlation. Enriched notification delivery. Automated post-alert correction workflows.
Native governance: All alerts are archived with their context for in-depth post-incident analysis.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-datawaves@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 of automated alerting

1. Automatic prioritization

Focus only on critical incidents.

2. Reduced resolution time

Alerts include the necessary context to act immediately.

3. Improved system reliability

Early detection of anomalies before they become outages.

4. Scalability without effort

Handle millions of Datawaves events without increasing team workload.

5. Total transparency

Full history of alerts and actions taken.

Security and data privacy

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

End-to-end encryption: Your Datawaves data remains secure throughout the AI analysis phase.
Fine-grained access control: You control which users can access alerts and configurations.
Compliance with standards: Swiftask meets the strictest security standards for B2B data processing.
Environment isolation: Your data streams are siloed to guarantee total confidentiality.

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

RESULTS

Impact on your operational performance

Metric	Before	After
Irrelevant alerts	80% of volume	Less than 5%
Average response time	Several hours	A few minutes
Team productivity	Overwhelmed	Optimized
Alert reliability	Low	Very high

Take action with datawaves

Save valuable time by filtering noise and automating your response to critical anomalies.