Unified Operations Hub¶

Real-time orchestration across CRM, billing, contact center, and field service — eliminating cross-system handoffs and data silos in customer operations.

Priority: P1 — High Value
Time to Value: 6-8 weeks
Category: Operations Orchestration

Business Problem¶

Customer operations span multiple systems that operate as independent silos — a billing dispute in Oracle has no link to the originating case in Salesforce, a field dispatch in SAP has no visibility into the customer's call history in WXCC. Without real-time coordination:

Data lag — billing adjustments take 24-72 hours to reflect across systems; customers call back to check status, inflating contact volume
Broken handoffs — agent transfers between teams lose context; customer repeats their story 2-3 times per interaction
Billing-service disconnect — 15-25% of billing disputes originate from service delivery issues invisible to the billing team
Field dispatch blind spots — field technicians arrive without customer context (case history, recent interactions, billing status)
Reconciliation overhead — finance and operations teams spend 20+ hours/week manually reconciling cross-system discrepancies

Capabilities¶

Real-Time Cross-System State Sync¶

Maintain a unified operational state per customer across Salesforce (cases), Oracle (billing), WXCC (interactions), and SAP (service orders) — updated within seconds of any system change.

Intelligent Handoff Orchestration¶

When a case transfers between teams or systems, the full context travels with it: "Transferring to billing team — attaching case SF-2026-8831, Oracle invoice #INV-4521 (dispute: $342 overcharge), 2 prior WXCC calls (12min, 8min), and SAP service order SO-7722 (completed yesterday)."

Billing-Service Correlation Engine¶

Automatically correlate billing anomalies with upstream service events: "Invoice spike for Account ACCT-1205 correlates with SAP service order SO-7701 (plan upgrade) executed 3 days ago — likely correct charge, not an error."

Field Service Context Cards¶

Push real-time customer context to field technicians before dispatch: case history, interaction sentiment, billing status, previous visit outcomes, and relevant knowledge articles.

Cross-System Reconciliation¶

AI-powered reconciliation detects and flags discrepancies: "Salesforce case SF-2026-9001 marked resolved but Oracle credit note CN-4410 still pending approval — flagging for finance review."

Data Sources & Ontology Mapping¶

flowchart LR
    subgraph Data Plane
        SF["Salesforce CRM"]
        OE["Oracle ERP"]
        WXCC["Webex Contact Center"]
        SAP_SYS["SAP"]
    end

    subgraph Ontology Entities
        CASE["Case"]
        CUST["Customer / Account"]
        BILLING["Billing & AR"]
        INTERACT["Interaction"]
        SVCORD["Service Order"]
        DISPATCH["Field Dispatch"]
    end

    subgraph AI Workflow
        SYNC["State Sync Engine"]
        HANDOFF["Handoff Orchestrator"]
        CORR["Billing-Service Correlator"]
        RECON["Reconciliation Engine"]
    end

    SF --> CASE
    SF --> CUST
    OE --> BILLING
    WXCC --> INTERACT
    SAP_SYS --> SVCORD
    SAP_SYS --> DISPATCH

    CASE --> SYNC
    CUST --> SYNC
    BILLING --> SYNC
    INTERACT --> SYNC
    SVCORD --> SYNC
    DISPATCH --> SYNC

    SYNC --> HANDOFF
    SYNC --> CORR
    SYNC --> RECON

Ontology Entity	Source System	Key Fields
Case	Salesforce Case	Case_ID, Account_ID, Type, Priority, Status, Origin, Owner_ID, Escalation_Level
Customer / Account	Salesforce Account + Oracle AR_Customer	Account_ID, Name, Tier, Segment, AR_Balance, Credit_Status, Payment_Terms
Billing & AR	Oracle AR_Invoice + AR_Payment + Billing_Dispute	Invoice_ID, Amount, Due_Date, Status, Dispute_Type, Credit_Note_ID
Interaction	WXCC Call_Record + Chat_Transcript	Interaction_ID, Channel, Agent_ID, Duration, Disposition, Sentiment_Score
Service Order	SAP Service_Order	Service_Order_ID, Account_ID, Type, Status, Scheduled_Date, Completion_Date
Field Dispatch	SAP Field_Dispatch	Dispatch_ID, Service_Order_ID, Technician_ID, Status, ETA, Outcome

AI Workflow¶

Event Ingestion — Subscribe to change events across all 4 systems (Salesforce CDC, Oracle alerts, WXCC webhooks, SAP IDocs)
Entity Resolution — Resolve customer identity across systems: Salesforce Account ↔ Oracle AR_Customer ↔ SAP Business Partner ↔ WXCC Caller Profile
State Assembly — Build real-time composite state per customer: open cases, pending invoices, active interactions, in-flight service orders
Correlation Analysis — Link billing events to service events; detect causal chains ("service order → plan change → invoice adjustment → dispute")
Handoff Context Packaging — When case transfers between teams, assemble full cross-system context brief with relevant history and recommendations
Discrepancy Detection — Compare states across systems; flag where case status, billing status, and service status are inconsistent
Output — Push unified state to dashboards; trigger reconciliation alerts; deliver context cards to agents and field technicians

Dashboard & Alerts¶

Key Metrics¶

KPI	Description	Target
Cross-System Sync Latency	Time for state change to propagate across all systems	< 30 seconds
Handoff Context Completeness	% of transfers with full cross-system context attached	> 95%
Billing-Service Correlation Rate	% of billing disputes auto-correlated with service events	> 70%
Reconciliation Discrepancies	Open cross-system discrepancies per day	< 15
Customer Repeat Rate	% of customers who call back about same issue within 48h	< 12%
Agent Context Switch Time	Time spent by agent navigating between systems per case	< 1 minute

Alert Rules¶

Alert	Trigger	Severity	Action
Sync failure	System state not updated for >5 minutes after source change	Critical	Alert integration ops; retry; mark stale data
Reconciliation mismatch	Case resolved in Salesforce but billing/service action still pending	High	Notify owning team; create follow-up task
Handoff context gap	Transfer initiated without billing or interaction context available	High	Hold transfer 60s for context assembly; escalate if unavailable
Billing-service anomaly	Invoice amount deviates >20% from service order estimate	Medium	Flag for billing review; attach service order context
Field dispatch blind	Technician dispatched without customer case history attached	Medium	Push context card to mobile; delay dispatch 15min if critical

ROI Model¶

Metric	Before	After	Impact
Cross-system handoff time	8 minutes avg	2 minutes avg	75% reduction → agent productivity gain
Customer repeat calls (handoff-related)	18%	7%	61% reduction → $1.8M cost avoidance
Billing-service reconciliation (manual)	25 hours/week	5 hours/week	80% reduction → $200K labor savings
Billing dispute resolution time	5 days avg	2 days avg	60% faster → improved cash flow
Field technician first-visit resolution	62%	82%	32% improvement → $600K truck roll savings
Agent system navigation time	35% of handle time	12% of handle time	66% reduction → capacity unlock

Estimated Annual ROI

$2.5M - $4.0M annually from reduced handoff time, fewer repeat contacts, faster billing resolution, and field service efficiency — across a mid-size enterprise with 200 agents and 50 field technicians.

Implementation Notes¶

Real-time event streaming requires Salesforce Change Data Capture (CDC), Oracle Advanced Queuing, and WXCC webhook subscriptions
Entity resolution across 4 systems is the foundational prerequisite; ontology layer must achieve >95% match confidence
SAP service order integration requires IDocs or RFC-based event push for near real-time state updates
Field context cards depend on mobile-compatible dashboard endpoint for technician devices
Initial deployment should focus on the 3 highest-volume case categories before expanding to full taxonomy

← Back to Catalogue | Previous: Autonomous Issue Resolution | Next: Proactive Agent Assist →