AI Integration for Non-Technical Managers Course

Name: AI Integration for Non-Technical Managers Course
Availability: InStock

Turn business problems, readiness, sourcing choices, decision boundaries, cross-functional roles, governance, adoption, and value into a manager's AI plan.

At a glance

Duration: 5 days
Format: Classroom
Cities: Chicago, Abu Dhabi, Rome, Manama, Istanbul, London and more
Next session: 11 – 15 October 2026, Chicago
Average fee: 5,800 €

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AI Integration for Non-Technical Managers Course

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Overview

AI Integration for Non-Technical Managers Course is a five-day foundation course for non-technical managers, business executives, functional leaders, transformation sponsors, and AI initiative owners, who leave with a Manager's AI Integration and Adoption Plan. Participants translate business problems into initiatives, assess readiness, choose sourcing and operating approaches, define decision boundaries, coordinate business and technical teams, set governance controls, plan adoption, and measure value. Agile Leaders Training Center provides training in AI integration for non-technical managers.

Who Should Attend

Functional managers responsible for business processes and outcomes
Executives responsible for sponsorship and investment decisions
Transformation teams responsible for coordinating cross-functional change
Initiative owners responsible for delivery, adoption, and value
Risk and governance teams responsible for oversight and controls
Business partners responsible for working with data and technology teams

The course assumes participants make or support business, transformation, investment, or governance decisions and leaves out coding, model development, technical architecture design, and vendor-product administration.

Departments and Industries

The course supports manager-led AI integration across business and public-service settings.

Strategy, transformation, and business-unit leadership
Operations, finance, marketing, people, and customer functions
Technology, data, risk, and internal-control teams
Financial services, retail, and professional-services organizations
Healthcare, education, and public-service organizations
Manufacturing, logistics, utilities, and infrastructure operators

Learning Objectives

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

Analyze business problems for suitable AI integration
Evaluate process, data, people, and technology readiness
Compare sourcing and operating approaches
Design decision boundaries and cross-functional ownership
Apply governance, adoption, and value controls
Build a manager's AI integration and adoption plan

Course Agenda

Day 1: Business Problems and AI Fit

Business Problem and Outcome Framing Canvas
Process, Decision, and Evidence Flow Map
AI Capability and Limitation Discussion Guide
Human Judgment and Automation Boundary Matrix
Manager AI Initiative Brief Template

Day 2: Readiness and Integration Choices

Data, Process, People, and Technology Readiness Assessment
Integration Dependency and Constraint Register
Build, Buy, Partner, and Defer Decision Matrix
Current and Target Operating Workflow Map
AI Initiative Feasibility and Risk Scorecard

Day 3: Roles and Delivery Coordination

Business, Data, Technology, and Risk Role Map
Decision Rights and Accountability Charter
Requirement, Assumption, and Acceptance Criteria Sheet
Business-to-Technical Handoff Checklist
AI Initiative Stage and Review Gate Board

Day 4: Governance and Adoption

NIST AI RMF Manager Governance Canvas
ISO/IEC 42001 Management Alignment Checklist
Responsible AI Risk and Control Register
Stakeholder Adoption and Capability Action Plan
AI Benefit, Risk, and Performance Dashboard

Day 5: Manager Integration Practice

Suggested Exercise: Frame a Business Problem and AI Fit
Suggested Exercise: Assess Readiness and Integration Choices
Suggested Exercise: Define Roles and Delivery Handoffs
Suggested Exercise: Set Governance and Adoption Controls
Capstone Exercise: Manager's AI Integration and Adoption Plan

Practical Exercises

The course uses suggested activities that turn business evidence into managed AI integration decisions.

Suggested activity: frame problems, outcomes, processes, decisions, evidence, capabilities, and human boundaries
Suggested activity: assess readiness, record dependencies, compare sourcing choices, and map target workflows
Suggested activity: assign roles and decision rights, document assumptions, define acceptance, and plan handoffs
Suggested activity: set governance controls, adoption actions, benefit measures, review gates, and the integration plan

FAQs

Who suits AI integration for non-technical managers training?

AI integration training suits managers, executives, functional leaders, transformation sponsors, initiative owners, and business partners who coordinate AI work. It assumes business decision experience and requires no AI programming.

How does manager AI integration differ from technical AI development training?

Manager AI integration focuses on business problems, readiness, sourcing, operating workflows, ownership, handoffs, governance, adoption, and value. Technical AI development focuses on data engineering, algorithms, coding, model testing, infrastructure, and deployment.

How should managers decide whether a business problem suits AI?

Managers should examine the decision, desired outcome, evidence, repetition, variability, uncertainty, data availability, human judgment, process constraints, risks, alternatives, and measurable value before proposing AI.

How can non-technical managers coordinate AI delivery?

Managers can define outcomes, owners, decision rights, assumptions, acceptance criteria, data responsibilities, human boundaries, review gates, risks, adoption actions, measures, and escalation while technical teams handle engineering choices.

What belongs in a Manager's AI Integration and Adoption Plan?

The plan includes problems, outcomes, use cases, readiness, dependencies, sourcing choices, target workflows, roles, decision rights, handoffs, controls, adoption actions, benefits, measures, gates, and review decisions.

Conclusion

Participants take back a Manager's AI Integration and Adoption Plan connecting business problems, readiness, integration choices, roles, governance, adoption, and value. The plan makes assumptions, dependencies, decision boundaries, handoffs, controls, ownership, and measures visible across teams. It supports coordinated AI initiatives while retaining accountable management judgment.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
London	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€5,700
Istanbul	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€4,500
Casablanca	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€4,100
Madrid	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€5,700
Muscat	Week 33, 2027 22 – 26 August 2027	5 Days	Onsite	€5,700
San Diego	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€14,000
Manama	Week 35, 2027 5 – 9 September 2027	5 Days	Onsite	€4,700
Amsterdam	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Singapore	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Bangkok	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€6,000
Al Jubail	Week 38, 2027 26 – 30 September 2027	5 Days	Onsite	€5,700
Zoom	Week 39, 2027 27 September – 1 October 2027	5 Days	Online	€1,500
Phuket	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€6,000
New York	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€12,000
Langkawi	Week 40, 2027 10 – 14 October 2027	5 Days	Onsite	€6,000
Dubai	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€4,500

Frequently asked questions

What does this course cover?

OverviewAI Integration for Non-Technical Managers Course is a five-day foundation course for non-technical managers, business executives, functional leaders, transformation sponsors, and AI initiative owners, who leave with a Manager's AI Integration and Adoption Plan. Participants translate business problems into initiatives, assess readiness, choose sou…

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 Integration for Non-Technical Managers Course