NICE CXone Integration Guide
Integrate Sticky Calls API with NICE CXone Studio for intelligent call routing and agent context.
Overview
Setup Time: 20-25 minutes Difficulty: Easy Prerequisites:
- NICE CXone admin access
- Sticky Calls API key
- Studio script editing permissions
What You'll Build:
- RESTful API integration in Studio
- Dynamic caller identification
- Context-aware call routing
- Agent workspace screen pop
- Post-call context saving
Architecture
Incoming Call → Studio Script → RESTful API Action (Sticky Calls) →
Parse Response → Branch on Match → Personalized Flow →
Agent Workspace Variables → Call Ends → Save Context
Step 1: Create RESTful API Action
1.1 Open Studio Script
CXone Studio → Scripts → Create New or Edit Existing
1.2 Add RESTful API Action
From Palette: Drag RESTful API action onto canvas
Configuration:
- Action Name:
IdentifyCaller - Method:
POST - URL:
https://api.stickycalls.com/v1/calls/start - Timeout: 5 seconds
1.3 Configure Headers
Headers Tab:
| Header Name | Value |
|---|---|
Authorization | Bearer YOUR_API_KEY |
Content-Type | application/json |
1.4 Configure Request Body
Body Tab:
{
"call_id": "{ContactId}",
"identity_hints": {
"ani": "{ANI}",
"external_ids": {
"cxone_contact_id": "{ContactId}",
"skill_id": "{SkillId}"
}
}
}
1.5 Parse Response
Parse Data Tab:
| Variable Name | JSON Path | Default |
|---|---|---|
customerRef | customer_ref | `` |
confidence | identity.confidence | 0.0 |
confidenceLevel | identity.level | low |
recommendation | identity.recommendation | ignore |
openIntent | open_intents[0].intent | `` |
intentStatus | open_intents[0].status | `` |
lastIssue | variables.last_issue.value | `` |
Step 2: Branch on Response
2.1 Add Branch Action
After RESTful API Action: Drag Branch action onto canvas
Conditions:
Branch 1 - High Confidence Match:
{confidence} >= 0.7
Branch 2 - Medium Confidence Match:
{confidence} >= 0.5 AND {confidence} < 0.7
Branch 3 - Low Confidence / New Caller:
{confidence} < 0.5
2.2 Personalized Prompts
Branch 1 Path (High Confidence):
- Play Message: "Welcome back! I see you previously contacted us about
{lastIssue}" - Route based on open intents
Branch 2 Path (Medium Confidence):
- Play Message: "Welcome! May I confirm your account information?"
- Verify identity before personalizing
Branch 3 Path (Low Confidence / New):
- Play Message: Standard greeting
- Standard menu flow
Step 3: Context-Aware Routing
3.1 Route Based on Open Intents
Add Branch After Greeting:
Condition 1:
{openIntent} CONTAINS "billing" AND {intentStatus} = "open"
→ Route to: Billing Skill
Condition 2:
{openIntent} CONTAINS "technical_support" AND {intentStatus} = "open"
→ Route to: Technical Support Skill
Condition 3:
{openIntent} CONTAINS "escalation" AND {intentStatus} = "open"
→ Route to: Senior Agent Skill
Default:
→ Standard IVR Menu
3.2 Set Priority
If open intent exists:
Set Priority: High
Estimated Wait Time: Reduced
Step 4: Agent Workspace Integration
4.1 Set Contact Variables
Before routing to agent: Add Set Variable action
Variables to Set:
| Variable | Value |
|---|---|
POD_LastIssue | {lastIssue} |
POD_OpenIntent | {openIntent} |
POD_IntentStatus | {intentStatus} |
POD_Confidence | {confidence} |
POD_CustomerRef | {customerRef} |
4.2 Configure Screen Pop
CXone Admin → ACD → Screen Layouts
Add Custom Panel:
{
"panels": [
{
"title": "Caller History",
"fields": [
{
"label": "Last Issue",
"variable": "POD_LastIssue",
"type": "text"
},
{
"label": "Open Intent",
"variable": "POD_OpenIntent",
"type": "text",
"highlight": true
},
{
"label": "Intent Status",
"variable": "POD_IntentStatus",
"type": "text"
},
{
"label": "Confidence",
"variable": "POD_Confidence",
"type": "gauge",
"max": 1.0
},
{
"label": "Customer Ref",
"variable": "POD_CustomerRef",
"type": "text"
}
]
}
]
}
Step 5: Save Context on Call End
5.1 Add End-Call RESTful API Action
On Hangup Event: Add RESTful API action
Configuration:
- Action Name:
SaveContext - Method:
POST - URL:
https://api.stickycalls.com/v1/calls/end - Headers: Same as Step 1.3
5.2 Request Body
{
"call_id": "{ContactId}",
"customer_ref": "{POD_CustomerRef}",
"intent": "{DispositionCode}",
"intent_status": "{DispositionStatus}",
"variables": {
"agent_notes": "{AgentNotes}",
"agent_name": "{AgentName}",
"resolution": "{ResolutionNotes}"
}
}
5.3 Map Disposition to Intent Status
Common Mappings:
| CXone Disposition | Intent Status |
|---|---|
| "Issue Unresolved" | "open" |
| "Callback Requested" | "open" |
| "Escalation Needed" | "open" |
| "Resolved" | "resolved" |
Step 6: Testing
6.1 Test Studio Script
CXone Studio → Debug Mode
- Start trace session
- Make test call
- Verify API call executes
- Check variable assignments
- Confirm branch logic works
Check Trace Output:
RESTful API: IdentifyCaller
Request: POST https://api.stickycalls.com/v1/calls/start
Response: 200 OK
Variables Set: confidence=0.0, confidenceLevel=low, recommendation=ignore
Branch Taken: Low Confidence / New Caller
6.2 Test Agent Workspace
- Route test call to agent
- Verify screen pop displays
- Check all variables populate correctly
- Test with known caller (should show history)
6.3 Test Context Saving
- Complete call with notes
- Set disposition code
- Check API logs in dashboard
- Make second call
- Verify context returned
Advanced Features
Multi-Signal Matching
Include CRM data for better identification:
{
"call_id": "{ContactId}",
"identity_hints": {
"ani": "{ANI}",
"external_ids": {
"customer_id": "{CRM_CustomerId}",
"account_number": "{CRM_AccountNumber}",
"email": "{CRM_Email}"
}
}
}
Sentiment-Based Routing
Combine with CXone Interaction Analytics:
IF {confidence} >= 0.8 AND {Sentiment} = "Negative"
THEN Route to: Retention Specialist
VIP Detection
IF `{callerContext}` CONTAINS "VIP" OR {CRM_Tier} = "Platinum"
THEN {
Set Priority: 1 (Highest)
Route to: VIP Queue
Play Message: "Thank you for being a valued customer"
}
Error Handling
API Timeout
Add Timeout Branch:
ON TIMEOUT (5 seconds):
Log: "Sticky Calls API timeout"
Continue to: Standard flow
Send Email: Alert to admin
API Error Response
Add Error Branch:
ON ERROR:
Parse Error Code
IF 402 (Insufficient Credits):
Alert: Admin notification
ELSE:
Log error
Continue to: Standard flow
Graceful Degradation
Always provide fallback flow:
TRY:
Call Sticky Calls API
CATCH:
Set matchFound = false
Continue with standard greeting
FINALLY:
Log interaction
Performance Optimization
Caching Strategy
Cache high-frequency callers locally (CXone Data Store):
1. Check local cache first
2. If found AND recent (< 5 min): Use cached data
3. If not found OR stale: Call API
4. Store response in cache
Parallel Processing
Execute API call while playing initial greeting:
Parallel Branch:
Branch 1: Play "Please wait while we connect you"
Branch 2: Call Sticky Calls API
Join: Continue when both complete
Monitoring & Analytics
CXone Reporting
Custom Reports to Create:
-
API Success Rate
- Metric: Successful API calls / Total attempts
- Target: > 99%
-
Match Rate
- Metric: Calls with confidence >= 0.7 / Total calls
- Insight: Percentage of returning callers
-
Average Handle Time by Match Status
- Compare: AHT for matched vs. non-matched calls
- Expected: 20-30% reduction for matches
-
Confidence Score Distribution
- Buckets: 0-0.3, 0.3-0.7, 0.7-1.0
- Action: Tune routing logic based on distribution
Dashboard Integration
View real-time metrics in Sticky Calls dashboard:
- Total API calls from CXone
- Credits consumed
- Match rate
- Average confidence score
Troubleshooting
Variables Not Populating
Symptom: Screen pop shows empty fields
Solution:
- Check variable names match exactly (case-sensitive)
- Verify JSON path in Parse Data tab
- Test with static test data
- Check data type mappings
Routing Not Working
Symptom: Calls go to wrong skill
Solution:
- Verify branch conditions
- Check variable data types (string vs. boolean)
- Test each branch individually
- Add logging to debug branches
Context Not Saving
Symptom: Return callers show no history
Solution:
- Verify end-call API action executes
- Check agent notes variable populated
- Verify call_id matches between start/end
- Check disposition codes mapping correctly
Best Practices
- Always test in staging before production deployment
- Set reasonable timeouts (5 seconds recommended)
- Implement error handling for all API calls
- Use confidence thresholds (> 0.7 for high confidence)
- Log all API interactions for debugging
- Monitor credit usage to avoid service interruption
- Train agents on interpreting screen pop data
ROI Calculator
Estimate your savings:
Assumptions:
- 10,000 calls/month
- 30% are returning callers (matched)
- 2 minutes saved per matched call
Savings:
- Time saved: 6,000 minutes/month = 100 hours
- At $25/hour: $2,500/month
- Annual savings: $30,000
Sticky Calls Investment: View current pricing →
Massive ROI - Save thousands on agent time while improving customer experience
Next Steps
- View API Reference - Complete endpoint documentation
- Best Practices - Production optimization
- Generic IVR Guide - Alternative patterns
- Contact Support - Get help
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