• Pricing
Book a demo

Optimize your AMQP flows with AI-driven intelligent routing

Swiftask connects your AI agents to your AMQP queues. Analyze the content of each message to automate distribution to the appropriate destination.

Result:

Gain performance and reactivity. Eliminate bottlenecks in your event-driven architectures.

The complexity of manual AMQP message routing

Managing massive data flows via AMQP requires robust routing logic. Often, this logic is rigid, difficult to maintain, and unable to adapt to variations in message content. The result: routing errors, processing delays, and operational overload.

Main negative impacts:

  • Rigidity of static rules: Routing rules based on simple filters do not understand the semantics of the data, limiting processing accuracy.
  • Maintenance overhead: Every new rule requires a code update, slowing down the agility of your technical teams.
  • Lack of visibility: Difficult to trace why a message was routed to a specific queue without advanced analysis tools.

Swiftask transforms your AMQP infrastructure into an intelligent system. Our AI agents analyze message content in real time and apply dynamic, contextual routing decisions.

BEFORE / AFTER

What changes with Swiftask

Classic architecture

Routing relies on static exchanges and routing keys. To change the logic, developers must modify the producer or consumer code, then redeploy.

Architecture with Swiftask

Swiftask consumes AMQP messages, analyzes them with AI, and dynamically decides which exchange or queue to send the message to. You adjust business logic in the Swiftask interface without redeploying.

Implement intelligent routing in 4 steps

STEP 1 : Connect Swiftask to your AMQP broker

Configure the secure connection to your broker (RabbitMQ, etc.) from the Swiftask interface.

STEP 2 : Define AI classification rules

Teach your agent to identify critical or specific messages based on their content.

STEP 3 : Configure routing targets

Determine the destination exchanges or queues based on the agent's decisions.

STEP 4 : Activate and monitor

Observe routing in real time and fine-tune the analysis logic via the dashboard.

AI routing features

The agent analyzes headers, payload (JSON, XML, text), and historical context to make the optimal decision.

  • Target connector: The agent performs the right actions in amqp based on event context.
  • Automated actions: Automatic message classification, complex conditional routing, data enrichment before routing, intelligent dead-letter queue (DLQ) management.
  • Native governance: All routing decisions are logged for full traceability.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-amqp@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 infrastructure

1. Increased agility

Modify routing logic without touching source code.

2. Intelligent processing

Deep understanding of messages beyond simple routing keys.

3. Scalability

The AI agent handles large volumes of messages asynchronously.

4. Reduced errors

Fewer messages sent to the wrong queues thanks to accurate classification.

5. Full observability

Precise tracking of every message and its associated decision.

High-level security

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

  • TLS encryption: Secure connections between Swiftask and your AMQP broker.
  • Access isolation: Fine-grained permission management on queues.

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

RESULTS

Routing performance

MetricBeforeAfter
Rule update timeHours (deployment)Seconds (no-code)
Classification accuracyLimited to filtersContextual and semantic

Take action with amqp

Gain performance and reactivity. Eliminate bottlenecks in your event-driven architectures.

Automate message responses with AMQP and AI agents

Next use case