Pricing

Streamline your data streams with Dots and Swiftask AI

Swiftask connects your Dots data streams to a decision-making AI. Process, analyze, and automate your business actions instantly.

Result:

Turn raw data into automated strategic decisions, without heavy technical maintenance.

The complexity of manual stream processing

Managing incoming data streams via Dots often requires significant technical resources. Manual processing or fragile scripts create bottlenecks that slow down your responsiveness.

Main negative impacts:

High operational latency: The delay between data reception and necessary action prevents agile decision-making.
Technical team overload: Constant maintenance of data pipelines distracts your engineers from high-value projects.
Loss of critical insights: Without an intelligent analysis layer, weak signals in your data streams are often ignored.

Swiftask acts as an intelligence layer on top of your Dots streams. Configure agents capable of interpreting, filtering, and triggering actions based on your streams in real-time.

BEFORE / AFTER

What changes with Swiftask

Traditional processing

You receive data via Dots. A custom script must be written, deployed, and monitored. If the format changes, the pipeline breaks. Data piles up unused.

Processing with Swiftask

Dots data streams directly feed your Swiftask agent. The AI processes the stream, identifies anomalies or opportunities, and executes associated workflows automatically.

Seamless Dots integration in 4 steps

STEP 1 : Dots source configuration

Connect your Dots stream to Swiftask via our secure interface.

STEP 2 : AI rule definition

Set up analysis criteria and actions to trigger based on data content.

STEP 3 : Real-world stream testing

Validate data processing with our integrated simulation tool.

STEP 4 : Pipeline activation

Launch your agent for 24/7 processing of your data streams.

Intelligent processing capabilities

Contextual semantic analysis of every event entering the stream.

Target connector: The agent performs the right actions in dots! based on event context.
Automated actions: Intelligent filtering, data enrichment, alert triggering, automatic routing to other tools.
Native governance: All operations are logged for a complete audit trail.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-dots!@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.

Competitive advantages of AI processing

1. Drastic cost reduction

Eliminate the need for complex processing servers.

2. Increased business agility

Modify your processing rules in a few clicks.

3. Operational reliability

Robust system designed to handle high data volumes.

4. Ecosystem integration

Connect your data to your entire SaaS stack.

5. Guaranteed compliance

Total traceability of processed data streams.

Data security

Swiftask applies enterprise-grade security standards for your dots! automations.

End-to-end encryption: Your Dots streams are secured at every step.
Environment isolation: Every client benefits from an isolated instance.
GDPR compliance: Respectful processing of your sensitive data.

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

RESULTS

Measurable performance

Metric	Before	After
Processing time	Minutes (manual)	Milliseconds
Maintenance	Weekly	Zero
Insight accuracy	Variable	High (AI)

Take action with dots!

Turn raw data into automated strategic decisions, without heavy technical maintenance.

Unify your stack with cross-platform workflows via Dots

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