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.

AI GRC Monitoring and Control Training Course

At a glance

Duration: 5 days
Format: Classroom
Cities: San Diego, Trabzon, Cairo, New York, Kuwait, London and more
Next session: 5 – 9 October 2026, San Diego
Average fee: 5,800 €

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AI-Enabled GRC Monitoring and Control Course

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Overview

AI-Enabled GRC Monitoring and Control Course is a five-day 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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Showing 41-60 of 76 events

Location	Dates	Duration	Mode	Price
Amman	Week 16, 2027 25 – 29 April 2027	5 Days	Onsite	€4,100
Tashkent	Week 17, 2027 2 – 6 May 2027	5 Days	Onsite	€4,500
Toronto	Week 18, 2027 9 – 13 May 2027	5 Days	Onsite	€12,000
Cairo	Week 19, 2027 10 – 14 May 2027	5 Days	Onsite	€4,100
Amsterdam	Week 19, 2027 10 – 14 May 2027	5 Days	Onsite	€5,700
Paris	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€5,700
Athens	Week 20, 2027 17 – 21 May 2027	5 Days	Onsite	€6,700
Vienna	Week 21, 2027 24 – 28 May 2027	5 Days	Onsite	€5,700
Sharm El-Sheikh	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€4,100
Tokyo	Week 22, 2027 31 May – 4 June 2027	5 Days	Onsite	€10,000
Accra	Week 22, 2027 6 – 10 June 2027	5 Days	Onsite	€4,100
Istanbul	Week 23, 2027 7 – 11 June 2027	5 Days	Onsite	€4,500
Abu Dhabi	Week 24, 2027 14 – 18 June 2027	5 Days	Onsite	€4,700
Manama	Week 24, 2027 20 – 24 June 2027	5 Days	Onsite	€4,700
Nairobi	Week 25, 2027 27 June – 1 July 2027	5 Days	Onsite	€4,500
London	Week 26, 2027 28 June – 2 July 2027	5 Days	Onsite	€5,700
Barcelona	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€5,700
Milan	Week 28, 2027 12 – 16 July 2027	5 Days	Onsite	€5,700
Johannesburg	Week 28, 2027 18 – 22 July 2027	5 Days	Onsite	€4,500
Riyadh	Week 29, 2027 25 – 29 July 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAI-Enabled GRC Monitoring and Control Course is a five-day 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.

AI GRC Monitoring and Control Training Course