Scaling AI Innovation and Transformation Course

Name: Scaling AI Innovation and Digital Transformation Training Course
Availability: InStock

Turn AI experiments into governed portfolios, operating models, adoption plans, value measures, and transformation roadmaps.

Scaling AI Innovation and Transformation Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Tashkent, Toronto, Al Jubail, Porto, Abu Dhabi, Dubai and more
Next session: 11 – 15 October 2026, Tashkent
Average fee: 5,800 €

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Scaling AI Innovation and Digital Transformation Training Course

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Overview

Scaling AI Innovation and Digital Transformation Training Course is a five-day advanced course for transformation leaders, innovation managers, strategy professionals, digital leaders, and executives who leave with an AI Innovation Scaling Blueprint. The course connects digital transformation strategy, innovation portfolio management, AI operating model choices, experimentation, data readiness, AI governance, adoption, investment prioritization, performance measures, and a transformation roadmap. Agile Leaders Training Center delivers this course on scaling AI innovation and digital transformation.

Who Should Attend

Transformation functions responsible for enterprise roadmaps and value realization
Innovation functions responsible for opportunity portfolios and experimentation
Strategy functions responsible for investment choices and operating models
Digital and technology functions responsible for data, platforms, and delivery readiness
Governance functions responsible for AI oversight, risk, and decision rights
Executive functions responsible for adoption, capabilities, and performance

The course assumes participants lead strategic or transformation initiatives and leaves out introductory AI concepts, software development, and technical model building.

Departments and Industries

The course supports AI-enabled transformation across service, industrial, and public-interest organizations.

Strategy, transformation, innovation, and corporate development departments
Technology, data, operations, finance, and human resources functions
Banking, insurance, professional services, and telecommunications organizations
Manufacturing, energy, logistics, and construction organizations
Healthcare, education, hospitality, and public service organizations

Learning Objectives

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

Analyze strategic opportunities for AI-enabled innovation
Prioritize an innovation portfolio by value, feasibility, and risk
Build an AI operating model and decision structure
Evaluate experimentation, data, technology, and capability readiness
Apply governance and adoption methods to scaling decisions
Build performance measures and a transformation roadmap

Course Agenda

Day 1: Strategic Direction and Opportunity

ISO 56002 Innovation Management System Map
Digital Transformation Ambition Canvas
Strategic Intelligence and Opportunity Radar
AI Business Context and Value Hypothesis
Innovation Thesis and Decision Criteria

Day 2: Portfolio and Experimentation

Innovation Portfolio Balance Matrix
AI Use Case Value Feasibility Risk Scorecard
Experiment Portfolio and Learning Backlog
Stage Gate Evidence and Decision Record
Investment Prioritization and Funding Map

Day 3: Operating Model and Readiness

AI Operating Model Design Canvas
Data and Technology Readiness Assessment
Capability and Skills Gap Matrix
Partner Procurement and Ecosystem Map
Delivery Roles and Decision Rights Chart

Day 4: Governance Adoption and Performance

NIST AI RMF Governance Alignment Map
Responsible AI Oversight and Escalation Matrix
Stakeholder Adoption and Change Network
Innovation Performance Measurement Dashboard
Benefits Realization and Assumption Tracker

Day 5: AI Innovation Scaling Practice

Suggested Exercise: Opportunity and Ambition Review
Suggested Exercise: Portfolio Prioritization Challenge
Suggested Exercise: Operating Model Readiness Simulation
Suggested Exercise: Governance and Benefits Review
Capstone Exercise: AI Innovation Scaling Blueprint

Practical Exercises

The course includes suggested activities that turn strategic opportunities and experiment evidence into governed scaling decisions.

Suggested activity: frame an AI opportunity using business context, intended value, assumptions, and decision criteria.
Suggested activity: balance an innovation portfolio and prioritize investments using value, feasibility, risk, and learning evidence.
Suggested activity: assess the operating model, data, technology, skills, partners, and governance needed for scale.
Suggested activity: present an AI Innovation Scaling Blueprint with roadmap, measures, owners, and review points.

FAQs

Who suits scaling AI innovation training and what does it assume?

Transformation leaders, innovation managers, strategy professionals, digital leaders, and executives suit the training; it assumes experience with strategic initiatives, investment choices, innovation, or organizational change.

How does scaling AI innovation differ from a digital transformation fundamentals course?

Scaling AI innovation focuses on portfolio choices, operating models, experimentation evidence, governance, adoption, and value measures, while fundamentals training introduces common technologies, terminology, and basic transformation concepts.

How should leaders prioritize an AI innovation portfolio?

Leaders should compare strategic fit, user need, expected value, feasibility, data readiness, capability, risk, cost, dependencies, learning evidence, and timing before committing resources.

What belongs in an AI operating model for digital transformation?

An AI operating model defines decision rights, delivery roles, governance forums, data and platform ownership, funding, partner responsibilities, capability development, risk escalation, and performance review.

How is value measured when scaling AI innovation?

Value measurement connects intended outcomes, baseline evidence, adoption, operational indicators, financial or service effects, risk measures, assumptions, review cadence, and decisions to continue, adapt, pause, or stop.

Conclusion

Participants leave with an AI Innovation Scaling Blueprint that links strategic intent, portfolio priorities, experiments, operating-model choices, readiness, governance, adoption, measures, and roadmap decisions. The work product makes investment assumptions and accountability visible across leadership teams. It supports disciplined scaling while preserving learning, review, and adaptation.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 76 events

Location	Dates	Duration	Mode	Price
Tokyo	Week 06, 2027 8 – 12 February 2027	5 Days	Onsite	€10,000
Amman	Week 06, 2027 14 – 18 February 2027	5 Days	Onsite	€4,100
Marbella	Week 06, 2027 14 – 18 February 2027	5 Days	Onsite	€5,700
Manama	Week 07, 2027 21 – 25 February 2027	5 Days	Onsite	€4,700
Rome	Week 08, 2027 22 – 26 February 2027	5 Days	Onsite	€5,700
Nice	Week 08, 2027 22 – 26 February 2027	5 Days	Onsite	€5,700
San Diego	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€14,000
Istanbul	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€4,500
Milan	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
Athens	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€6,700
Trabzon	Week 10, 2027 14 – 18 March 2027	5 Days	Onsite	€6,800
Barcelona	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€5,700
Berlin	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€5,200
Munich	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€5,700
New York	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€12,000
Chicago	Week 13, 2027 4 – 8 April 2027	5 Days	Onsite	€12,000
Dubai	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€4,500
Madrid	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€5,700
Geneva	Week 14, 2027 11 – 15 April 2027	5 Days	Onsite	€6,200

Frequently asked questions

What does this course cover?

OverviewScaling AI Innovation and Digital Transformation Training Course is a five-day advanced course for transformation leaders, innovation managers, strategy professionals, digital leaders, and executives who leave with an AI Innovation Scaling Blueprint. The course connects digital transformation strategy, innovation portfolio management, AI operating…

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.

Scaling AI Innovation and Transformation Course