Urgency & SLA Impact Scoring
Calculates numerical urgency scores (0.0 to 1.0) detecting angry sentiment, financial risk, and contractual SLA terms.
Automate customer support ticket routing, priority scoring, and department assignment in a single API call.
https://rsflowhub.com/api/v1/ai/ticket-workflow
X-API-Key header{
"ticket": "My payment was deducted but my subscription is still not active.",
"customer_context": "Billing database shows payment pending verification.",
"available_departments": [
"technical_support",
"billing",
"sales"
]
}
{
"result": {
"decision": "escalate",
"priority": "high",
"route_to": "technical_support",
"requires_human": true,
"reason": "Account lockout with a time-sensitive deadline.",
"can_auto_reply": true,
"required_information": [
"account email"
]
}
}
AI Support Ticket Workflow API is a REST API on RSFlowHub for web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/ticket-workflow with your API key; RSFlowHub runs it on a tuned AI model, falls back to a backup provider if needed, and returns a structured JSON result, usually within 1 to 3 seconds.
POST /api/v1/ai/ticket-workflowX-API-Key headerSend these fields as a JSON body. An invalid or missing field returns a 422 error that names the field.
| Field | Type | Required | Description |
|---|---|---|---|
ticket |
string | Required | The customer support ticket message text (Max: 20,000 characters). |
subject |
string | Optional | Optional ticket subject header. |
customer_context |
string | Optional | Optional customer account details context. |
product_context |
string | Optional | Optional product details context. |
business_context |
string | Optional | Optional support operational policies or rules context. |
previous_messages |
array | Optional | Optional array of previous messages in conversation thread. |
available_departments |
array | Optional | Optional list of available departments to restrict routing decisions. |
Copy, replace rfh_your_api_key with your key and run. Prefer a client library? See the official SDKs.
curl -X POST "https://rsflowhub.com/api/v1/ai/ticket-workflow" \
-H "Content-Type: application/json" \
-H "X-API-Key: rfh_your_api_key" \
-d '{"ticket":"My payment was deducted but my subscription is still not active.","customer_context":"Billing database shows payment pending verification.","available_departments":["technical_support","billing","sales"]}'
<?php
$client = new \GuzzleHttp\Client();
$response = $client->post('https://rsflowhub.com/api/v1/ai/ticket-workflow', [
'headers' => [
'Content-Type' => 'application/json',
'X-API-Key' => 'rfh_your_api_key',
],
'json' => array (
'ticket' => 'My payment was deducted but my subscription is still not active.',
'customer_context' => 'Billing database shows payment pending verification.',
'available_departments' =>
array (
0 => 'technical_support',
1 => 'billing',
2 => 'sales',
),
),
]);
echo $response->getBody();
const response = await fetch('https://rsflowhub.com/api/v1/ai/ticket-workflow', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-API-Key': 'rfh_your_api_key'
},
body: JSON.stringify({"ticket":"My payment was deducted but my subscription is still not active.","customer_context":"Billing database shows payment pending verification.","available_departments":["technical_support","billing","sales"]})
});
const data = await response.json();
console.log(data);
import requests
url = "https://rsflowhub.com/api/v1/ai/ticket-workflow"
headers = {
"Content-Type": "application/json",
"X-API-Key": "rfh_your_api_key"
}
payload = {"ticket":"My payment was deducted but my subscription is still not active.","customer_context":"Billing database shows payment pending verification.","available_departments":["technical_support","billing","sales"]}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
Every RSFlowHub endpoint uses the same envelope, so one parser handles all of them. Failed calls are not charged.
{
"success": true,
"request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
"data": {
"result": {
"decision": "escalate",
"priority": "high",
"route_to": "technical_support",
"requires_human": true,
"reason": "Account lockout with a time-sensitive deadline.",
"can_auto_reply": true,
"required_information": [
"account email"
]
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
{
"success": false,
"request_id": "req_8c1d4e2a-7f3b-4a9c",
"error": {
"code": "VALIDATION_ERROR",
"message": "The given data was invalid.",
"details": {
"ticket": [
"This field is required."
]
}
},
"meta": {
"version": "v1",
"timestamp": "2026-10-05T09:30:00Z"
}
}
| Field | Type | Meaning |
|---|---|---|
success | boolean | true when the call worked, false on any error. |
request_id | string | Unique id for this call. Quote it when you contact support. |
data.result | object | The result of this endpoint (see the example). |
error | object | Only on failure: code, message and details per field. |
meta | object | API version and server timestamp. |
All error codes: Errors reference
Calculates numerical urgency scores (0.0 to 1.0) detecting angry sentiment, financial risk, and contractual SLA terms.
Routes tickets to exact internal queues (Billing, Tier-2 Engineering, Security, Account Success) with zero human dispatchers.
Generates canonical tags (e.g. auth_failure, invoice_discrepancy, data_export) for aggregate analytics.
Recommends concrete resolution steps e.g. "Request transaction ID", "Issue 10% credit", or "Reset 2FA token".
How teams use the AI Support Ticket Workflow API in production.
Instantly categorize incoming Zendesk or Freshdesk tickets and assign them to specialized agents.
{"department": "DevOps/Infra", "priority": "P0_CRITICAL", "sla_minutes": 15}Sends a first response within seconds instead of waiting for an agent.
Detect high-value enterprise accounts voicing frustration and escalate directly to customer success leads.
{"churn_risk": "HIGH", "escalate_to": "CS_VP", "sentiment_score": -0.92}Flags churn-risk conversations early so your team can intervene.
Extract invoice numbers and credit card charge issues, routing directly to the finance team.
{"category": "Double_Charge", "invoice_id": "INV-8921", "amount": 199.00}Cuts billing back-and-forth by drafting clear invoice-dispute replies.
The same job done three ways.
| Topic | RSFlowHub API | Raw LLM prompts | Rules / regex |
|---|---|---|---|
| Output | Validated JSON fields | Free text you have to parse | Fixed patterns only |
| Setup | One POST request, no prompts | Write and maintain prompts and parsing | Write and maintain rule lists |
| Provider outage | Automatic fallback to a backup model | You build retries and a second vendor | Not applicable |
| Pricing | 2 credits per call, failed calls free | Per token, per vendor | Your own servers and upkeep |
| Understands context | Yes, AI model | Yes, AI model | No, keywords only |
Free plan with 100 credits/month + 1,000 bonus credits when you sign in before 23 Nov. Test it in the playground first, no code needed.
Flowy
AI assistant