AI Integration for Non-Technical Managers Course

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

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 €

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

Showing 41-60 of 76 events
Image Location Dates Duration Mode Price Actions
Frankfurt Frankfurt Week 17, 2027
26 – 30 April 2027
5 Days Onsite €5,700
Dubai Dubai Week 18, 2027
3 – 7 May 2027
5 Days Onsite €4,500
Paris Paris Week 18, 2027
3 – 7 May 2027
5 Days Onsite €5,700
Trabzon Trabzon Week 18, 2027
9 – 13 May 2027
5 Days Onsite €6,800
Sharm El-Sheikh Sharm El-Sheikh Week 20, 2027
17 – 21 May 2027
5 Days Onsite €4,100
Berlin Berlin Week 20, 2027
17 – 21 May 2027
5 Days Onsite €5,700
Vienna Vienna Week 21, 2027
24 – 28 May 2027
5 Days Onsite €5,700
London London Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €5,700
Lisbon Lisbon Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €5,700
Cairo Cairo Week 23, 2027
7 – 11 June 2027
5 Days Onsite €4,100
Milan Milan Week 23, 2027
7 – 11 June 2027
5 Days Onsite €5,700
Rome Rome Week 24, 2027
14 – 18 June 2027
5 Days Onsite €5,700
Athens Athens Week 25, 2027
21 – 25 June 2027
5 Days Onsite €6,700
Tbilisi Tbilisi Week 26, 2027
28 June – 2 July 2027
5 Days Onsite €5,000
Abu Dhabi Abu Dhabi Week 26, 2027
28 June – 2 July 2027
5 Days Onsite €4,700
Cape town Cape town Week 26, 2027
4 – 8 July 2027
5 Days Onsite €4,500
Dubai Dubai Week 28, 2027
12 – 16 July 2027
5 Days Onsite €4,500
Baku Baku Week 28, 2027
12 – 16 July 2027
5 Days Onsite €5,000
Amsterdam Amsterdam Week 29, 2027
19 – 23 July 2027
5 Days Onsite €5,700
Riyadh Riyadh Week 29, 2027
25 – 29 July 2027
5 Days Onsite €5,700

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.

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