Swiftask frees up your applications by delegating heavy AI processing to asynchronous functions. Keep your UI fluid while processes run in the background.
Result:
Gain system reactivity while automating complex calculations and high-volume data streams.
AI Agents
function
Connector function · Secure OAuth 2.0
In a synchronous architecture, every request waits for the AI to finish its calculation before releasing the interface. Result: increased latency, frequent timeouts, and a degraded experience for your end users.
Main negative impacts:
Unbearable application latency
Waiting for AI responses blocks your application's main thread, leaving the interface frozen during processing time.
High time-out risks
Long-running tasks often exceed HTTP request time limits, leading to processing failures and cascading errors.
Limited scalability
Without asynchronicity, processing capacity is throttled by the sequential wait time of each operation.
Swiftask introduces an asynchronous execution layer. Send your task requests to dedicated functions and retrieve results via webhooks as soon as they are ready.
BEFORE / AFTER
Synchronous architecture
Your application sends data to the AI. It waits 15 seconds. The user sees an infinite loading screen. If the server is under load, the connection drops. The process fails.
Asynchronous architecture with Swiftask
Your application sends the task to Swiftask. Swiftask confirms receipt instantly. The user continues working. In the background, Swiftask executes the AI function and notifies your application via webhook upon completion.
1
STEP 1 : Define the function
Create your processing logic in Swiftask. Set up the necessary inputs for your AI calculation.
2
STEP 2 : Configure the callback
Define the destination URL for the task completion notification (webhook) so your system retrieves the processed data.
3
STEP 3 : Send the request
Your application triggers the function via API. Swiftask places the task in a secure queue.
4
STEP 4 : Processing and notification
The function executes in isolation. Upon completion, the result is automatically transmitted to your target system.
Fine-grained queue management, task priority handling, and resource isolation to guarantee system stability.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-function@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.
The interface remains interactive while heavy processes are managed in the background.
The queuing system allows for automatic retries in case of temporary failure.
Your application and Swiftask communicate without tight dependency, facilitating maintenance.
Process data in batches or in real-time without overloading your main servers.
Swiftask automatically handles load scaling based on the volume of incoming tasks.
Swiftask applies enterprise-grade security standards for your function automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Perceived latency | Full processing time (seconds/minutes) | Confirmation time (milliseconds) |
| Request failure rate | High (timeouts) | Near 0% (persistent queue) |
| Interface availability | Blocked during processing | Always available |
Gain system reactivity while automating complex calculations and high-volume data streams.