# Outbound Webhooks

Send events to external systems when tasks complete, approvals happen, or schedules fire.

Your employee pushes events to your systems in real time. When a task completes, your project management tool gets notified. When an approval is needed, your Slack channel gets a message. When a scheduled execution finishes, your data pipeline picks up the output.

Configure which events trigger webhooks and where they go. Route task completions to one endpoint, approval requests to another, and error notifications to a third. Each webhook includes a full payload with context: what happened, which employee did it, and what the output was.

Webhooks are especially valuable for building automation pipelines. Employee researches leads, webhook notifies your CRM, CRM triggers an email sequence, email results webhook back to the employee for follow-up. Closed-loop automation with your AI employee at the center.

## Push Events From Your AI Employee to External Systems

Sistava supports outbound webhooks, meaning your AI employee can notify external systems when key events happen. When a task completes, a document is created, or an approval is needed, the agent fires a webhook to the URL you configure.

This turns your AI employee into a live trigger in your automation stack. Connect it to Zapier, Make, n8n, your own backend, or any system that accepts webhooks, and let the agent kick off downstream workflows without any manual polling or checking.

## Configurable Payloads and Event Types

You define which events trigger a webhook and what data is included in the payload. Whether you want a summary of the completed task, a structured JSON object with specific fields, or a raw output from a tool call, the agent sends exactly what you configure.

Custom payloads mean your downstream systems receive data in the format they expect, not a generic dump. This reduces the need for transformation logic on the receiving end and makes webhook-driven workflows more reliable.

## Bridge Your AI Workforce Into Any Automation Stack

Many teams already have automation infrastructure built around webhooks: workflow platforms, internal event buses, monitoring systems. Outbound webhooks let your AI employees participate in those existing systems without requiring a full architectural change.

An autonomous agent that completes a research brief can fire a webhook to create a Notion page. An agent that processes an invoice can trigger a payment workflow. The webhook is the handoff point between your AI workforce and the rest of your operations.

## Use Cases

### Ops team receives AI task completion alerts

When an AI employee finishes a workflow, it fires a webhook to the team's internal system, triggering the next step automatically.

### CRM team syncs AI outputs in real time

Each time the AI agent completes a lead enrichment, an outbound webhook pushes the result directly into the CRM, no polling required.

### Dev team monitors agent errors in their own stack

When an AI agent hits a failure, an outbound webhook fires to the team's alerting system, creating an incident ticket immediately.

### Finance team updates records as AI closes tasks

Each invoice processed by the AI employee fires a webhook to the accounting system, keeping records in sync without manual exports.

## Comparison

| Before | After |
|---|---|
| External systems have to poll the platform to detect completed tasks. | Outbound webhooks push results the moment the agent finishes. |
| AI outputs sit in the platform until someone exports them. | Results flow automatically to any downstream system via webhook. |
| Connecting AI outputs to internal tools requires a middleware layer. | Outbound webhooks connect directly to any endpoint, no middleware. |
| Teams build custom polling scripts to detect agent completions. | Webhooks eliminate polling entirely, events are pushed, not pulled. |

## FAQ

### When does the AI employee send a webhook?

Webhooks are sent when configured trigger events occur, such as task completion, a specific tool being used, or a message being sent. You define the trigger conditions and the destination URL when setting up the integration.

### What format is the webhook payload in?

Payloads are sent as JSON over HTTPS. You can configure the structure of the payload to match what your receiving system expects, including specific fields, task outputs, and metadata.

### Can I use webhooks to connect my AI employee to Zapier or Make?

Yes. Both platforms accept inbound webhooks as triggers. Configure your AI employee to send a webhook to your Zapier or Make webhook URL, and any downstream automation in that platform will fire when the agent completes its work.

### Is there retry logic if the webhook destination is unavailable?

Yes. Failed webhook deliveries are retried automatically with exponential backoff. You can also view webhook delivery history and manually retry failed events from the integration settings.

### Can my AI agent notify external systems when it finishes a task?

Yes, outbound webhooks let your AI employee push events to any URL when specific actions complete, such as finishing a task, updating a record, or generating a report. This makes it easy to chain Sistava into existing workflows.

> Every time our AI agent finishes a research brief, it fires a webhook that drops the result straight into our Notion database. Zero manual handoff.
> — Isabel R., Research Lead · media team