AI for Business and Management: Strategy and Automation

Name: AI for Business and Management: Strategy, Automation and Decision Making
Availability: InStock

Develop executive capabilities in workflow automation, prompt engineering, data analysis, and responsible governance to lead digital transformation.

AI for Business and Management: Strategy and Automation

At a glance

Duration: 5 days
Format: Classroom
Cities: Istanbul, Muscat, Dubai, Paris, Cape town, Amsterdam and more
Next session: 12 – 16 October 2026, Istanbul
Average fee: 5,750 €

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AI for Business and Management: Strategy, Automation and Decision Making

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Overview

AI for Business and Management provides leaders and administrators with pragmatic approaches to modernize operational workflows, strengthen decision support, and improve organizational performance. Modern enterprises require managerial competence in evaluating emerging technologies rather than delegating strategic direction entirely to technical specialists. This five-day course examines practical prompt design, administrative automation, data interpretation, and governance frameworks to support measurable productivity improvements. Participants examine functional use cases across operations, human resources, finance, and corporate planning to identify high-value opportunities. This course is delivered by Agile Leaders Training Center.

Who Should Attend

Department heads and senior managers evaluating operational technologies.
Operations and administrative leaders seeking to streamline repetitive business workflows.
Strategy directors and business analysts incorporating predictive insight into corporate planning.
Human resources and learning managers guiding workforce development and talent allocation.
Governance, risk, and compliance professionals establishing oversight protocols for automated systems.

Departments and Industries

This course supports professionals across administrative, corporate, and operational environments.

Corporate Strategy and Business Administration Units
Human Resources and Organizational Development Teams
Finance, Risk Management, and Internal Audit Departments
Operations Management and Supply Chain Coordination Divisions
Public Sector Administration and Institutional Management Authorities

Learning Objectives

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

Evaluate strategic opportunities for organizational adoption using structured opportunity prioritization frameworks.
Apply AI Prompt Engineering techniques to accelerate management research, correspondence, and report generation.
Design AI Workflow Automation pathways for repetitive administrative and operational tasks.
Utilize AI Decision Making models to evaluate data patterns while preserving human-in-the-loop accountability.
Establish Responsible AI principles addressing privacy, algorithmic transparency, and risk governance.
Formulate a department-level implementation roadmap aligned with operational priorities and workforce readiness.

Course Agenda

Day 1: Foundations of Enterprise Artificial Intelligence

Role of AI for Business and Management in modern organizational performance
Distinction between machine learning, automation, and generative language tools
Evaluation criteria for commercial productivity software and enterprise platforms
Identification of high-impact use cases across core business functions
Assessment of organizational data readiness and foundational technology infrastructure

Day 2: Prompt Engineering and Decision Intelligence

Structured prompt design for executive correspondence, research synthesis, and briefings
Contextual framing techniques using Prompt Engineering for Business protocols
Interpretation of business datasets and trend reporting using analytical tools
Principles of AI Decision Making to augment managerial judgment without abdication
Validation methods to detect hallucinations, biases, and unverified source data

Day 3: Operational Automation and Workforce Performance

Mapping repetitive administrative processes suitable for AI Workflow Automation
Integration of digital assistants and workflow triggers within daily operations
Applications in human resource planning, talent development, and onboarding workflows
Optimizing departmental productivity through collaborative human-machine workflows
Workforce transition planning and skill development matrices for administrative teams

Day 4: Strategic Planning and Organizational Change

Formulating an enterprise strategy aligned with operational targets and budgets
Scenario modeling and predictive forecasting techniques for executive planning
Assessing cultural and structural readiness using organizational readiness audits
Change management protocols to foster employee adoption and alleviate resistance
Prioritization matrices for sequencing phased departmental implementation projects

Day 5: Responsible Governance and Implementation Roadmaps

Core principles of Responsible AI: fairness, transparency, and accountability
Establishing institutional AI Governance frameworks and compliance checkpoints
Risk management protocols for intellectual property protection and data privacy
Public sector considerations and multi-stakeholder governance requirements
Constructing a phased operational roadmap for departmental implementation

Practical Exercises

Participants complete structured workplace exercises to translate concepts into immediate operational value.

Suggested activity: Construct an opportunity prioritization matrix to evaluate departmental candidate processes.
Suggested activity: Design and calibrate structured prompt templates for executive briefings and analytical summaries.
Suggested activity: Map an administrative workflow to identify friction points and automation intervention targets.
Suggested activity: Formulate an operational governance checklist with human-in-the-loop review criteria.

FAQs

What specific qualifications or prerequisites are needed for participants before enrolling in the course?

No technical background in software engineering, programming, or data science is required. Participants should possess an understanding of standard organizational workflows, managerial responsibilities, and basic familiarity with common office software.

How long is each day's session, and is there a total number of hours required for the entire course?

Each day is structured for approximately four to five hours of instruction, including guided discussions, exercises, and breaks, delivering twenty to twenty-five hours over five consecutive days.

Does this course teach participants how to build AI systems or how to use AI effectively as managers?

The curriculum emphasizes managerial evaluation, workflow integration, prompt design, and governance oversight rather than technical coding or model development. Leaders learn how to direct, evaluate, and control commercial tools to support operational goals responsibly.

Conclusion

Equipping organizational managers with strategic clarity ensures technology investments translate into measurable efficiency and sound leadership. By mastering workflow automation, structured prompting, and responsible governance, participants return ready to lead sustainable technological change within their departments.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 21-40 of 77 events

Location	Dates	Duration	Mode	Price
Toronto	Week 02, 2027 17 – 21 January 2027	5 Days	Onsite	€12,000
Amman	Week 03, 2027 24 – 28 January 2027	5 Days	Onsite	€4,100
Riyadh	Week 04, 2027 31 January – 4 February 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 05, 2027 1 – 5 February 2027	5 Days	Onsite	€4,700
Tashkent	Week 05, 2027 7 – 11 February 2027	5 Days	Onsite	€4,500
London	Week 06, 2027 8 – 12 February 2027	5 Days	Onsite	€5,700
Manama	Week 06, 2027 14 – 18 February 2027	5 Days	Onsite	€4,700
Dubai	Week 07, 2027 15 – 19 February 2027	5 Days	Onsite	€4,500
Zoom	Week 08, 2027 22 – 26 February 2027	5 Days	Online	€1,500
Rome	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€5,700
Porto	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
Bangkok	Week 10, 2027 14 – 18 March 2027	5 Days	Onsite	€6,000
Lisbon	Week 11, 2027 15 – 19 March 2027	5 Days	Onsite	€5,700
Berlin	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€5,700
Tokyo	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€10,000
Sharm El-Sheikh	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€4,100
Jakarta	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€5,700
Istanbul	Week 15, 2027 12 – 16 April 2027	5 Days	Onsite	€4,500
Tbilisi	Week 16, 2027 19 – 23 April 2027	5 Days	Onsite	€5,000
Al Jubail	Week 16, 2027 25 – 29 April 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAI for Business and Management provides leaders and administrators with pragmatic approaches to modernize operational workflows, strengthen decision support, and improve organizational performance. Modern enterprises require managerial competence in evaluating emerging technologies rather than delegating strategic direction entirely to technical s…

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 for Business and Management: Strategy and Automation