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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 NameValue
AuthorizationBearer YOUR_API_KEY
Content-Typeapplication/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 NameJSON PathDefault
customerRefcustomer_ref``
confidenceidentity.confidence0.0
confidenceLevelidentity.levellow
recommendationidentity.recommendationignore
openIntentopen_intents[0].intent``
intentStatusopen_intents[0].status``
lastIssuevariables.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:

VariableValue
POD_LastIssue{lastIssue}
POD_OpenIntent{openIntent}
POD_IntentStatus{intentStatus}
POD_Confidence{confidence}
POD_CustomerRef{customerRef}

4.2 Configure Screen Pop

CXone Admin → ACDScreen 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 DispositionIntent Status
"Issue Unresolved""open"
"Callback Requested""open"
"Escalation Needed""open"
"Resolved""resolved"

Step 6: Testing

6.1 Test Studio Script

CXone Studio → Debug Mode

  1. Start trace session
  2. Make test call
  3. Verify API call executes
  4. Check variable assignments
  5. 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

  1. Route test call to agent
  2. Verify screen pop displays
  3. Check all variables populate correctly
  4. Test with known caller (should show history)

6.3 Test Context Saving

  1. Complete call with notes
  2. Set disposition code
  3. Check API logs in dashboard
  4. Make second call
  5. 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:

  1. API Success Rate

    • Metric: Successful API calls / Total attempts
    • Target: > 99%
  2. Match Rate

    • Metric: Calls with confidence >= 0.7 / Total calls
    • Insight: Percentage of returning callers
  3. Average Handle Time by Match Status

    • Compare: AHT for matched vs. non-matched calls
    • Expected: 20-30% reduction for matches
  4. 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:

  1. Check variable names match exactly (case-sensitive)
  2. Verify JSON path in Parse Data tab
  3. Test with static test data
  4. Check data type mappings

Routing Not Working

Symptom: Calls go to wrong skill

Solution:

  1. Verify branch conditions
  2. Check variable data types (string vs. boolean)
  3. Test each branch individually
  4. Add logging to debug branches

Context Not Saving

Symptom: Return callers show no history

Solution:

  1. Verify end-call API action executes
  2. Check agent notes variable populated
  3. Verify call_id matches between start/end
  4. Check disposition codes mapping correctly

Best Practices

  1. Always test in staging before production deployment
  2. Set reasonable timeouts (5 seconds recommended)
  3. Implement error handling for all API calls
  4. Use confidence thresholds (> 0.7 for high confidence)
  5. Log all API interactions for debugging
  6. Monitor credit usage to avoid service interruption
  7. 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


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