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Automation

What is Process Mining

Business process analysis from logs

Process Mining is a technology for analyzing business processes based on data from event logs of information systems.

Types of Process Mining

  • Discovery — automatic process model construction
  • Conformance — checking alignment between reality and model
  • Enhancement — process improvement based on data

Benefits

  1. Objective process visibility
  2. Bottleneck identification
  3. Deviation detection
  4. Fact-based optimization
  5. Continuous monitoring

Applications

  • Business process auditing
  • Automation preparation
  • Compliance monitoring
  • Efficiency analysis
  • Digital transformation

Benefits

Project Management. Automatic progress and deadline tracking. Optimal resource allocation across projects. Project overrun rate drops 60%. On-time delivery reaches 95%.

How to Start

Step 1: Infrastructure. Evaluate current IT infrastructure and capacity. Determine upgrade requirements for servers and networking. Set up development, testing, and production environments. Enable monitoring and alerting from day one.

ROI & Efficiency

Customer Value. Customer satisfaction grows 40-45 points. Net Promoter Score increases 25-30 points. Customer lifetime value grows 50-60%. Customer acquisition cost drops 35-40% through targeting.

Common Mistakes

Automating Chaos. You can't automate a broken process — you'll get fast chaos. Simplify and standardize first. Document all exception cases thoroughly. Only then implement automation for lasting results.

Who Needs It

Government Sector. Government agencies digitizing citizen services. Municipalities optimizing document workflows. Organizations with high data security requirements. Agencies implementing electronic public services.

Practical Example

Case: Insurance. Claims processing dropped from 14 days to 2 days. AI automatically classifies claims and detects fraud. Fraud detection savings: $2.5M annually. Customer satisfaction grew 35% through faster resolution.

Frequently Asked Questions

Q:How is AI changing the automation landscape?
AI adds intelligence to automation: context understanding, unstructured data processing, predictive analytics. Traditional automation works on rules — AI makes decisions. Combining AI + RPA creates intelligent automation capable of handling up to 80% of all tasks.
Q:Can sales be automated?
Yes, sales automation is one of the most effective scenarios. Automatic lead scoring, deal forecasting, personalized proposals. AI-powered CRM suggests the next best action. Chatbots qualify leads 24/7. Result: 40-50% conversion increase.
Q:What is hyperautomation?
Hyperautomation combines AI, ML, RPA, and low-code for maximum automation. Named Gartner's #1 trend. Includes: process mining, intelligent document processing, decision intelligence. Goal: automate everything that can be automated. Real result: 30-50% operational cost savings.

Related terms

BPMRPA