Business-Aligned AI Strategy Formation Course

Name: Business-Aligned AI Strategy Formation Course
Availability: InStock

Connect business priorities to governed AI opportunities, value cases, capabilities, portfolio decisions, and measurable benefits.

At a glance

Duration: 5 days
Format: Classroom
Cities: Langkawi, Vienna, Kuala Lumpur, Johannesburg, Milan, Dubai and more
Next session: 11 – 15 October 2026, Langkawi
Average fee: 5,800 €

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Business-Aligned AI Strategy Formation Course

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Overview

Business-Aligned AI Strategy Formation Course is a five-day course for business leaders, functional directors, strategy managers, transformation sponsors, and business unit heads, who leave with an AI Strategy Formation Roadmap. Participants connect priorities to AI opportunities, screen use cases, define value and risk criteria, assign governance and decision rights, plan capabilities and partnerships, sequence a portfolio, and measure benefits. Agile Leaders Training Center provides training in business-aligned AI strategy formation.

Who Should Attend

Business leadership personnel responsible for strategic priorities and investment choices
Functional leadership personnel responsible for performance and operating needs
Strategy personnel responsible for portfolios, roadmaps, and value cases
Transformation sponsors responsible for adoption, governance, and benefits
Business unit personnel responsible for use-case ownership and execution

The course assumes participants contribute to business planning or transformation decisions and leaves out model development, specialist data science, technical architecture, and generic digital-transformation theory.

Departments and Industries

The course supports business-led AI strategy formation across corporate and public-service organizations.

Corporate strategy and business planning functions
Business units and functional leadership teams
Transformation and innovation offices
Operations and customer-service organizations
Finance, healthcare, and education leadership
Infrastructure and professional-services organizations

Learning Objectives

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

Analyze business priorities for AI opportunity
Apply value and risk criteria to use cases
Build governance and decision-rights arrangements
Evaluate capability, data, and partnership needs
Prioritize an AI use-case portfolio and benefits
Build an AI Strategy Formation Roadmap

Course Agenda

Day 1: Strategic Ambition and Business Priorities

Business Priority and Outcome Map
AI Strategic Ambition Canvas
Stakeholder Sponsorship Matrix
Current Initiative and Constraint Inventory
Strategy Scope and Exclusion Charter

Day 2: Opportunities and Value Cases

Business Problem Framing Sheet
AI Use-Case Opportunity Funnel
Value Driver and Benefit Map
Use-Case Feasibility and Risk Screen
Evidence and Assumption Register

Day 3: Governance and Capabilities

AI Governance Decision Rights Chart
Use-Case Ownership RACI Matrix
Data Readiness Assessment Card
Workforce Capability Gap Map
Partner and Sourcing Option Grid

Day 4: Portfolio and Benefits

AI Use-Case Prioritization Matrix
Portfolio Dependency and Sequence Map
Funding and Stage-Gate Decision Flow
Benefits Realization Measure Set
Portfolio Review and Adaptation Scorecard

Day 5: AI Strategy Formation Practice

Suggested Exercise: Align AI Ambition with Business Priorities
Suggested Exercise: Screen Opportunities and Build Value Cases
Suggested Exercise: Set Governance and Capability Actions
Suggested Exercise: Prioritize the Portfolio and Benefits
Capstone Exercise: AI Strategy Formation Roadmap

Practical Exercises

The course uses suggested activities that convert business priorities into a governed AI strategy.

Suggested activity: define strategic ambition, desired outcomes, sponsorship, constraints, and scope
Suggested activity: frame business problems, screen use cases, map value drivers, and record assumptions
Suggested activity: assign decision rights, assess data and capability gaps, and compare partnership options
Suggested activity: prioritize initiatives, map dependencies, define stage gates, and set benefit measures

FAQs

Who suits AI strategy formation training, and what does it assume?

AI strategy formation training suits leaders responsible for priorities, investment, transformation, operations, or business-unit performance. It assumes familiarity with organizational planning and requires no programming.

How does AI strategy formation differ from technical AI training?

AI strategy formation focuses on business goals, use cases, value, governance, capabilities, portfolios, and benefits, while technical AI training focuses on data engineering, models, software, and deployment.

How should leaders prioritize AI use cases?

Leaders should compare use cases against strategic relevance, measurable value, feasibility, data readiness, risk, capability needs, dependencies, ownership, adoption effort, and time to evidence.

What governance belongs in a business AI strategy?

Business AI strategy governance should define sponsorship, decision rights, use-case ownership, risk tolerance, review gates, data responsibilities, human oversight, benefit accountability, and escalation paths.

What belongs in an AI Strategy Formation Roadmap?

The roadmap should contain ambition, priorities, use cases, value cases, governance, capabilities, data needs, partnerships, portfolio sequence, stage gates, benefit measures, owners, and review cycles.

Conclusion

Participants take back an AI Strategy Formation Roadmap linking business priorities, opportunities, value, governance, capabilities, partnerships, portfolio sequence, and measures. It changes how leadership teams select and sponsor AI initiatives. The roadmap provides a basis for coordinated investment, accountable decisions, measurable benefits, and periodic adaptation.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 76 events

Location	Dates	Duration	Mode	Price
Langkawi	Week 41, 2026 11 – 15 October 2026	5 Days	Onsite	€6,000
Vienna	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€5,700
Kuala Lumpur	Week 44, 2026 26 – 30 October 2026	5 Days	Onsite	€5,200
Johannesburg	Week 44, 2026 1 – 5 November 2026	5 Days	Onsite	€4,500
Milan	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€5,700
Dubai	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€4,500
Barcelona	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Jakarta	Week 48, 2026 23 – 27 November 2026	5 Days	Onsite	€5,700
Al Jubail	Week 48, 2026 29 November – 3 December 2026	5 Days	Onsite	€5,700
Rome	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
Nairobi	Week 50, 2026 13 – 17 December 2026	5 Days	Onsite	€4,500
Amsterdam	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 52, 2026 21 – 25 December 2026	5 Days	Onsite	€4,700
London	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€5,700
Phuket	Week 53, 2027 3 – 7 January 2027	5 Days	Onsite	€6,000
Barcelona	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€5,700
Amman	Week 01, 2027 10 – 14 January 2027	5 Days	Onsite	€4,100
Amsterdam	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€4,700
Milan	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewBusiness-Aligned AI Strategy Formation Course is a five-day course for business leaders, functional directors, strategy managers, transformation sponsors, and business unit heads, who leave with an AI Strategy Formation Roadmap. Participants connect priorities to AI opportunities, screen use cases, define value and risk criteria, assign governance…

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.

Business-Aligned AI Strategy Formation Course