Process Datawaves streams in real-time with your AI agents
Swiftask connects your AI agents to Datawaves streams. Analyze, filter, and act on your data the moment it arrives, with zero latency.
Result:
Turn raw data noise into immediate insights and automate your operational responses.
AI Agents
datawaves
Connector datawaves · Secure OAuth 2.0
Manual Datawaves processing kills your agility
Your Datawaves streams generate massive amounts of information. Without automation, this data sits idle or is analyzed too late by your teams. The result: missed opportunities, reporting errors, and limited responsiveness.
Main negative impacts:
Analysis latency
The delay between receiving data and turning it into action significantly reduces your competitive edge.
Operational bottleneck
Your technical teams waste time building complex pipelines instead of optimizing business value.
Untapped data volume
Critical amounts of data remain in silos because there is no easy way to process them intelligently and continuously.
Swiftask allows you to embed AI agents directly into your Datawaves streams. They process, enrich, and transform your data in real-time, according to your business rules.
BEFORE / AFTER
What changes with Swiftask
The traditional approach
Data arrives in Datawaves, is stored in a data lake, and then extracted periodically. A team analyzes reports once a week. The time lag makes decisions obsolete by the time they are implemented.
The power of Swiftask + Datawaves
As soon as a data point hits Datawaves, the Swiftask agent intercepts, analyzes, and triggers an immediate action — updating CRM, alerting Slack, or automatically adjusting parameters.
Optimize Datawaves streams with AI in 4 steps
1
STEP 1 : Define your processing logic
In Swiftask, configure your agent's rules to filter and analyze your incoming Datawaves streams.
2
STEP 2 : Connect your Datawaves stream
Integrate Datawaves with your Swiftask agent. The link is fast, secure, and requires no architectural overhaul.
3
STEP 3 : Set up automated actions
Tell the agent what to do after analysis: notify, store, or forward to another tool in your stack.
4
STEP 4 : Deployment and monitoring
Activate processing. Track data flows live via your Swiftask dashboard.
AI agent analysis capabilities
Your AI agent evaluates each data point based on its relevance, source, and correlations with your history.
- Target connector: The agent performs the right actions in datawaves based on event context.
- Automated actions: Intelligent data filtering. Metadata enrichment. Threshold-based alert triggering. Format normalization. Conditional data routing to third-party tools.
- Native governance: Every process is logged and auditable to ensure full compliance for your data flows.
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.
Why choose this pairing for your data
Increased execution speed
Reduce data processing latency from hours to milliseconds.
Scalability without constraint
Swiftask automatically handles increasing data volumes without manual technical intervention.
Data-driven decisions
No more guessing. Your actions are dictated by real-time analysis of your streams.
Simplified business integration
Connect your Datawaves results to any business tool without writing a single line of code.
Increased reliability
Automation eliminates human errors related to manual dataset manipulation.
End-to-end data security
Swiftask applies enterprise-grade security standards for your datawaves automations.
- Stream encryption: All data transiting between Datawaves and Swiftask is encrypted according to banking standards.
- Granular governance: Precisely control which data is accessible by which AI agent.
- Full traceability: Every operation on your streams is logged, allowing for a complete audit at any time.
- Simplified compliance: Easily meet your compliance requirements through centralized access management.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your data operations
| Metric | Before | After |
|---|---|---|
| Processing latency | Several hours (batch) | Real-time (instant) |
| Manual effort | High (Data engineering) | Low (No-code setup) |
| Error rate | Human-related risk | Minimized by AI |
| Business responsiveness | Delayed reaction | Immediate proactivity |
Take action with datawaves
Turn raw data noise into immediate insights and automate your operational responses.