AI Process Mining for Operational Improvement Course

Name: AI Process Mining for Operational Improvement Course
Availability: InStock

Turn event logs into validated process paths, conformance findings, bottleneck evidence, root-cause hypotheses, and governed improvements.

At a glance

Duration: 5 days
Format: Classroom
Cities: Al Jubail, Lisbon, Tashkent, Chicago, Seoul, Paris and more
Next session: 11 – 15 October 2026, Al Jubail
Average fee: 5,800 €

Home
Our Categories
AI Process Mining for Operational Improvement Course

Download Brochure (PDF) Print PDF

Overview

AI Process Mining for Operational Improvement Course is a five-day foundation course for operations managers, improvement teams, quality professionals, business analysts, transformation teams, and process owners, who leave with a Process Mining Improvement Evidence Pack. Participants prepare event logs, discover actual process paths, check conformance, analyze variants, bottlenecks and rework, test root-cause hypotheses, and prioritize governed improvement actions. Agile Leaders Training Center provides training in AI-assisted process mining for operational improvement.

Who Should Attend

Operations teams responsible for process performance
Process improvement teams responsible for change priorities
Quality teams responsible for deviations and corrective action
Business analysts responsible for process evidence
Transformation teams responsible for improvement portfolios
Process owners responsible for governance and results

The course assumes participants can describe an operational process and leaves out generic operational excellence, standalone process mapping, robotic process automation, software configuration, advanced data science, and technical process-mining implementation.

Departments and Industries

The course supports evidence-led process improvement across service and production operations.

Operations and process management functions
Quality and continuous improvement teams
Business analysis and transformation offices
Finance, procurement, and shared-service operations
Manufacturing, logistics, utilities, and maintenance organizations
Banking, healthcare, government, and professional services

Learning Objectives

By the end of this course, participants will be able to:

Apply event-log readiness criteria to a process question
Use process discovery to map observed paths and variants
Analyze conformance deviations, bottlenecks, delays, and rework
Evaluate root-cause hypotheses and supporting evidence
Prioritize improvement actions with ownership and validation
Build a Process Mining Improvement Evidence Pack

Course Agenda

Day 1: Questions and Event-Log Readiness

Operational Process Question Charter
Case, Activity, and Timestamp Definition Sheet
Event Data Source Register
Event-Log Completeness and Quality Check
Scope, Privacy, and Access Boundary

Day 2: Process Discovery and Variants

Directly-Follows Process Graph
Process Discovery View Selection
Trace and Variant Frequency Table
Start, End, Loop, and Rework Pattern Review
BPMN 2.0 Interpretation Bridge

Day 3: Conformance and Performance Analysis

Expected-to-Observed Process Comparison
Conformance Deviation Register
Bottleneck and Waiting-Time Heatmap
Rework and Handoff Analysis
Performance Variant Comparison Matrix

Day 4: Root Causes and Improvement Priorities

Root-Cause Hypothesis Tree
Attribute and Segment Evidence Table
AI-Assisted Finding Validation Checklist
Improvement Impact and Feasibility Matrix
Action Owner and Measurement Register

Day 5: Process Mining Improvement Practice

Suggested Exercise: Prepare an Event-Log Readiness Review
Suggested Exercise: Discover Paths and Process Variants
Suggested Exercise: Check Conformance and Bottlenecks
Suggested Exercise: Validate Causes and Prioritize Actions
Capstone Exercise: Process Mining Improvement Evidence Pack

Practical Exercises

The course uses suggested activities that turn event data into validated process-improvement evidence.

Suggested activity: frame a process question and define cases, activities, timestamps, sources, quality, and access boundaries
Suggested activity: construct a directly-follows view and interpret paths, variants, loops, and rework
Suggested activity: compare expected and observed behavior and analyze deviations, bottlenecks, waiting, and handoffs
Suggested activity: test root-cause hypotheses, validate AI-assisted findings, rank actions, assign owners, and define measures

FAQs

Who suits AI process mining for operational improvement training?

AI process mining for operational improvement training suits operations, improvement, quality, analysis, transformation, and process-owner teams. It assumes familiarity with a business process and requires no programming.

How does process mining differ from standalone process mapping?

Process mining reconstructs observed behavior from event logs and measures variants, deviations, and performance. Standalone process mapping documents a designed or reported process without requiring event evidence.

What data does process mining require?

Process mining requires events linked to a case, an activity, and a timestamp, supported by suitable identifiers, attributes, source definitions, extraction rules, quality checks, and scope boundaries.

How does process mining identify bottlenecks and rework?

Process mining compares event sequences, elapsed times, waiting points, repeated activities, handoffs, variants, and segments to locate where flow slows, loops, departs from expectations, or consumes additional effort.

What belongs in a Process Mining Improvement Evidence Pack?

The pack should include the question charter, event-log readiness review, discovery views, variant table, conformance register, bottleneck analysis, root-cause evidence, validation checks, priority matrix, owners, actions, and measures.

Conclusion

Participants take back a Process Mining Improvement Evidence Pack linking event-log readiness, discovery, variants, conformance, performance, root causes, validation, and improvement priorities. The pack separates observed behavior from assumptions. It supports traceable operational decisions, accountable actions, and measurable process change.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Download Brochure (PDF) Print PDF

Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Al Jubail	Week 41, 2026 11 – 15 October 2026	5 Days	Onsite	€5,700
Lisbon	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€5,700
Tashkent	Week 43, 2026 25 – 29 October 2026	5 Days	Onsite	€4,500
Chicago	Week 44, 2026 1 – 5 November 2026	5 Days	Onsite	€12,000
Seoul	Week 46, 2026 9 – 13 November 2026	5 Days	Onsite	€10,000
Paris	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,700
Madrid	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€5,700
Barcelona	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Vienna	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Kuala Lumpur	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,200
Amsterdam	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Bangkok	Week 49, 2026 6 – 10 December 2026	5 Days	Onsite	€6,000
Johannesburg	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€4,500
London	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€5,700
Athens	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€6,700
Prague	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€6,000
Abu Dhabi	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€4,700
Manama	Week 01, 2027 10 – 14 January 2027	5 Days	Onsite	€4,700
Kuwait	Week 03, 2027 24 – 28 January 2027	5 Days	Onsite	€5,500
Dubai	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€4,500

Frequently asked questions

What does this course cover?

OverviewAI Process Mining for Operational Improvement Course is a five-day foundation course for operations managers, improvement teams, quality professionals, business analysts, transformation teams, and process owners, who leave with a Process Mining Improvement Evidence Pack. Participants prepare event logs, discover actual process paths, check conform…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI Process Mining for Operational Improvement Course