AI GRC Monitoring and Control Training Course

Name: AI-Enabled GRC Monitoring and Control Course
Availability: InStock

Apply AI to GRC workflows, continuous monitoring, evidence traceability, risk signals, dashboards, human review, and escalation.

This 1-week course has 76 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 16 – 20 November 2026 in Prague. Fees per participant run from €4,100 (Casablanca) to €14,000 (San Diego) in a classroom, and from €1,500 live online.

AI GRC Monitoring and Control Training Course

Duration: 1 Week5 days
Next start: 16 November 2026Prague
Scheduled dates: 76
Classroom cities: 54Prague, Rome, Manama, Dubai and more
Format: Classroom and live online
Fee per participant: €1,500–€14,000Average €5,750

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AI-Enabled GRC Monitoring and Control Course

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What does this course cover?

Overview

AI-Enabled GRC Monitoring and Control Course is a one-week foundation course for governance managers, risk managers, compliance teams, internal control personnel, assurance professionals, and GRC technology coordinators, who leave with a GRC AI Monitoring and Control Plan. Participants connect obligation, risk, and control libraries with workflow automation, evidence traceability, continuous control monitoring, predictive risk signal review, human oversight, dashboards, and escalation. Agile Leaders Training Center provides training in AI-enabled GRC monitoring and control.

Who Should Attend

Governance personnel responsible for accountability, policies, and decision rights
Risk personnel responsible for indicators, assessment, and issue prioritization
Compliance personnel responsible for obligations, evidence, and reporting
Internal control personnel responsible for control design, testing, and remediation
Assurance personnel responsible for monitoring coverage and traceable conclusions
GRC technology personnel responsible for workflows, data, and dashboards

The course assumes participants contribute to governance, risk, compliance, control, or assurance work and leaves out legal specialization, cybersecurity operations, enterprise AI strategy, and technical model development.

Departments and Industries

The course supports governed AI use in GRC operations across regulated and control-intensive organizations.

Corporate governance and enterprise risk functions
Compliance and regulatory affairs departments
Internal control and internal audit functions
Financial services and insurance organizations
Healthcare and life sciences organizations
Energy, infrastructure, and public service organizations

Learning Objectives

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

Build linked obligation, risk, and control libraries
Apply GRC workflow automation to evidence and review tasks
Use continuous control monitoring and control testing support
Analyze predictive risk signals and prioritize issues
Evaluate AI model controls, human review, and escalation
Build a GRC AI Monitoring and Control Plan

Course Agenda

Day 1: GRC Foundations and Libraries

GRC Obligation Source Inventory
Risk and Control Library Map
Obligation-to-Control Mapping Matrix
GRC Workflow Automation Screen
Governance Ownership and RACI Chart

Day 2: Continuous Monitoring and Evidence

Continuous Control Monitoring Design
Automated Evidence Collection Register
Control Test Support Checklist
Monitoring Coverage and Gap Map
Evidence Traceability Log

Day 3: Risk Signals and Issue Triage

Key Risk Indicator Definition Sheet
Predictive Risk Signal Review Card
Signal Confidence and Limitation Record
GRC Issue Priority Matrix
Human Review and Escalation Flow

Day 4: Dashboards and Model Controls

GRC Monitoring Dashboard
AI Model Risk Control Checklist
Third-Party GRC Technology Review
Alert Threshold and Exception Rules
Periodic Review and Change Register

Day 5: GRC Monitoring Practice

Suggested Exercise: Map Obligations, Risks, and Controls
Suggested Exercise: Configure Monitoring and Evidence
Suggested Exercise: Review Risk Signals and Triage Issues
Suggested Exercise: Set Dashboard, Model, and Escalation Controls
Capstone Exercise: GRC AI Monitoring and Control Plan

Practical Exercises

The course uses suggested activities that turn GRC data and AI-supported signals into controlled, reviewable workflows.

Suggested activity: map obligation sources to risks, controls, owners, and workflow decisions
Suggested activity: design continuous monitoring, evidence collection, testing support, and traceability
Suggested activity: review predictive risk signals, record limitations, prioritize issues, and preserve human judgment
Suggested activity: assemble a GRC monitoring dashboard with model controls, thresholds, escalation, and review cycles

FAQs

Who suits AI GRC monitoring training, and what does it assume?

AI GRC monitoring training suits personnel responsible for governance, risk, compliance, controls, assurance, or GRC technology. It assumes familiarity with organizational policies, risks, or controls and requires no programming.

How does AI-enabled GRC monitoring differ from generic risk management training?

AI-enabled GRC monitoring focuses on connected obligation and control data, automated evidence, continuous monitoring, predictive signals, human review, dashboards, and escalation, while generic risk management training covers broader risk identification, assessment, treatment, and reporting.

How should teams use continuous control monitoring responsibly?

Teams should define control objectives, data sources, owners, thresholds, evidence rules, exceptions, review frequency, human decisions, escalation paths, and change records before relying on continuous control monitoring.

What makes predictive risk signal review reliable?

Reliable predictive risk signal review records the source, time horizon, confidence, limitations, affected controls, comparison baseline, false alerts, reviewer judgment, issue priority, and escalation decision.

What belongs in a GRC AI Monitoring and Control Plan?

The plan should include obligation, risk, and control libraries; workflows; evidence rules; monitoring coverage; indicators; signal reviews; issue triage; model controls; dashboard measures; human oversight; escalation; owners; and periodic review.

Conclusion

Participants take back a GRC AI Monitoring and Control Plan connecting obligations, risks, controls, evidence, signals, dashboards, human review, and escalation. It changes how teams operate and oversee AI-supported GRC workflows. The plan provides a basis for traceable evidence, visible limitations, accountable decisions, and timely control action.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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When and where does this course run?

Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Prague	Week 47, 2026 16 – 20 November 2026	1 Week	Onsite	€6,000
Rome	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€5,700
Manama	Week 48, 2026 29 November – 3 December 2026	1 Week	Onsite	€4,700
Dubai	Week 49, 2026 30 November – 4 December 2026	1 Week	Onsite	€4,500
Porto	Week 50, 2026 7 – 11 December 2026	1 Week	Onsite	€5,700
Lisbon	Week 50, 2026 7 – 11 December 2026	1 Week	Onsite	€5,700
Zanzibar	Week 51, 2026 20 – 24 December 2026	1 Week	Onsite	€5,500
Amsterdam	Week 53, 2026 28 December 2026 – 1 January 2027	1 Week	Onsite	€5,700
Milan	Week 01, 2027 4 – 8 January 2027	1 Week	Onsite	€5,700
Frankfurt	Week 01, 2027 4 – 8 January 2027	1 Week	Onsite	€5,700
Marbella	Week 01, 2027 10 – 14 January 2027	1 Week	Onsite	€5,700
Dubai	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€4,500
Bangkok	Week 02, 2027 17 – 21 January 2027	1 Week	Onsite	€6,000
Addis Ababa	Week 03, 2027 18 – 22 January 2027	1 Week	Onsite	€4,500
Jakarta	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€5,700
Abu Dhabi	Week 05, 2027 1 – 5 February 2027	1 Week	Onsite	€4,700
Muscat	Week 05, 2027 7 – 11 February 2027	1 Week	Onsite	€5,700
Amsterdam	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Langkawi	Week 07, 2027 21 – 25 February 2027	1 Week	Onsite	€6,000
Singapore	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€5,700

Frequently asked questions

When does this course next run?

The next date runs 16 – 20 November 2026 in Prague. It is one of 76 dates scheduled up to November 2027.

Where is this course held?

In a classroom in 54 cities: Prague, Rome, Manama, Dubai, Porto, Lisbon, Zanzibar, Amsterdam, and more. It is also scheduled as live online sessions.

Can I attend this course online?

Yes. One date is scheduled as a live online session: 12 – 16 April 2027, from €1,500 per participant.

How long is the course?

1 Week. Each date shows its start and end dates.

How much does the course cost?

Fees per participant run from €4,100 (Casablanca) to €14,000 (San Diego) in a classroom, and from €1,500 live online. Each date shows its own fee.

What does this course cover?

OverviewAI-Enabled GRC Monitoring and Control Course is a one-week foundation course for governance managers, risk managers, compliance teams, internal control personnel, assurance professionals, and GRC technology coordinators, who leave with a GRC AI Monitoring and Control Plan. Participants connect obligation, risk, and control libraries with workflow…

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.

Can this course be run for our team?

Yes. Tell us the number of participants and your preferred dates and city through our training request form.

AI GRC Monitoring and Control Training Course