Process Mining & RPA in Enterprise

Process mining shows you what actually happens in your business processes — not what the flowchart says happens, but what the event logs reveal. It exposes bottlenecks, rework loops, and compliance violations that nobody knew existed. Combined with RPA, you can then automate the repetitive steps that consume thousands of employee hours.

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Process Mining Architecture

Source Systems              Process Mining          Analysis
┌──────────────┐          ┌──────────────┐       ┌──────────────┐
│ ERP (SAP)    ├── Logs ─▶│              │       │ Bottleneck   │
│ CRM (SF)     ├── Logs ─▶│  Celonis     │──────▶│  detection   │
│ Service Desk ├── Logs ─▶│  UiPath PM   │       │ Rework loops │
│ BPM systems  ├── Logs ─▶│  Minit       │       │ Compliance   │
└──────────────┘          └──────────────┘       │  violations  │
                                                  └──────────────┘

What Process Mining Reveals

Discovery	Example Finding	Business Impact
Bottleneck	Credit check takes 4 days (SLA: 1 day)	Delayed order fulfillment
Rework loop	25% of purchase orders rejected and resubmitted	Wasted employee time
Compliance gap	15% of invoices approved without PO	Audit risk
Happy path deviation	Only 40% of cases follow the standard process	Process needs redesign
Automation candidate	Data entry step repeated 10,000 times/month	RPA opportunity

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RPA Platform Selection

Platform	Strength	Best For
UiPath	Enterprise features, AI integration	Large enterprise, complex automations
Automation Anywhere	Cloud-native, AARI for attended	Cloud-first organizations
Power Automate	Microsoft integration, citizen developer	Microsoft-heavy environments
Blue Prism	Security, governance	Regulated industries
Robocorp	Open source, Python-based	Developer-led automation

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Automation Assessment

automation_scoring:
  criteria:
    rule_based:
      question: "Are decisions rule-based (not judgment-based)?"
      weight: 25%
    
    digital_inputs:
      question: "Are inputs digital (not handwritten/verbal)?"
      weight: 20%
    
    stable_process:
      question: "Is the process stable (< 2 changes/year)?"
      weight: 20%
    
    volume:
      question: "Is volume significant (> 100 cases/month)?"
      weight: 15%
    
    error_prone:
      question: "Is the manual process error-prone (> 5% error rate)?"
      weight: 10%
    
    structured_data:
      question: "Is the data structured and consistent?"
      weight: 10%
  
  scoring:
    90-100: "Automate immediately — high ROI, low risk"
    70-89:  "Strong automation candidate — plan within 1 quarter"
    50-69:  "Partial automation possible — pilot first"
    below_50: "Not suitable for automation — redesign process first"

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ROI Calculation

Metric	Manual Process	Automated	Savings
Processing time per case	15 minutes	2 minutes	87% faster
Cases per month	5,000	5,000	—
Monthly hours consumed	1,250 hours	167 hours	1,083 hours saved
Error rate	8%	0.5%	94% fewer errors
Cost per hour (fully loaded)	$45	$3 (compute)	$42 saved/hour
Monthly savings	—	—	$45,500
Annual savings	—	—	$546,000
Implementation cost	—	—	$120,000 (one-time)
Payback period	—	—	2.6 months

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Anti-Patterns

Anti-Pattern	Problem	Fix
Automate a bad process	Automating waste faster	Redesign process first, then automate
RPA for everything	Some processes need APIs, not robots	RPA for UI-only legacy; APIs for modern systems
No monitoring	Bots fail silently	Dashboards, alerts, exception handling
Citizen developer without governance	Unsupported bots everywhere	Center of Excellence, standards
Shadow automation	Spreadsheet macros nobody knows about	Discover and consolidate automations

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Checklist

• Process mining: event logs analyzed from key systems
• Top automation candidates identified (score > 70)
• RPA platform selected based on tech stack
• Automation CoE (Center of Excellence) established
• Bot monitoring: dashboards, error alerts, SLA tracking
• ROI calculation for each automation
• Change management: employee communication, reskilling
• Governance: bot inventory, access controls, audit trail

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:::note[Source] This guide is derived from operational intelligence at Garnet Grid Consulting. For process automation consulting, visit garnetgrid.com. :::