AI Decision Making and Business Performance Course

Name: AI-Assisted Decision Making and Business Performance Course
Availability: InStock

Connect evidence, scenarios, options, KPIs, experiments, human oversight, and performance reviews in one managerial system.

AI Decision Making and Business Performance Course

At a glance

Duration: 12 days
Format: Classroom
Cities: Manama, Kuwait, Sharm El-Sheikh, London, Abu Dhabi, Accra and more
Next session: 11 – 22 October 2026, Manama
Average fee: 9,900 €

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AI-Assisted Decision Making and Business Performance Course

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Overview

AI-Assisted Decision Making and Business Performance Course is a ten-day foundation course for business leaders, functional managers, strategy teams, performance managers, transformation leaders, and decision analysts, who leave with an AI-Assisted Decision and Business Performance System. Participants frame decisions, assess evidence, compare scenarios, evaluate options, define performance measures, design experiments, assign human review, monitor outcomes, and establish adoption routines. Agile Leaders Training Center provides training in AI-assisted decision making and business performance.

Who Should Attend

Business leaders responsible for cross-functional decisions and results
Functional managers responsible for priorities and performance
Strategy teams responsible for options, initiatives, and alignment
Performance teams responsible for objectives, measures, and reviews
Transformation teams responsible for adoption and operating change
Decision analysts responsible for evidence, scenarios, and recommendations

The course assumes participants contribute to managerial decisions or performance reviews and leaves out data-science programming, model development, technical forecasting, executive leadership theory, and process-engineering certification.

Departments and Industries

The course supports evidence-based managerial decisions and business-performance improvement across organizations.

Corporate strategy and transformation functions
Finance, planning, and performance-management teams
Commercial, customer, and service operations
Energy, manufacturing, and infrastructure organizations
Financial, healthcare, and professional service organizations
Government, education, and nonprofit organizations

Learning Objectives

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

Apply structured framing to managerial decisions
Analyze evidence quality, uncertainty, and assumptions
Compare scenarios, forecasts, and business options
Build objectives, KPIs, and performance-review routines
Evaluate experiments, outcomes, and corrective actions
Build an AI-Assisted Decision and Business Performance System

Course Agenda

Day 1: Decision Context and Value

Managerial Decision-Scope Canvas
Stakeholder and Value-Outcome Map
Decision Type and Frequency Matrix
Constraint, Dependency, and Risk Register
Decision Owner and Review-Rights Chart

Day 2: Evidence and Data Quality

Decision Evidence Inventory
Data Provenance and Quality Checklist
Assumption and Uncertainty Register
Bias and Missing-Evidence Review
Evidence Sufficiency Decision Gate

Day 3: AI Use Cases and Human Oversight

AI Decision-Support Use-Case Matrix
Prediction, Recommendation, and Classification Map
Human-in-the-Loop Design Sheet
Explanation and Challenge Requirement Table
Override, Escalation, and Accountability Protocol

Day 4: Scenarios and Forecasts

Business Driver and Signal Map
Baseline and Alternative Scenario Builder
Forecast Assumption and Range Table
Sensitivity and Stress-Test Matrix
Scenario Implication Decision Log

Day 5: Options and Priorities

Business Option Design Card
Multi-Criteria Option Scorecard
Benefit, Cost, Risk, and Feasibility Matrix
Portfolio Priority and Resource Grid
Decision Recommendation Record

Day 6: Objectives and Performance Measures

Strategy Objective and Cause-Effect Map
Outcome, Driver, and Guardrail Measure Set
KPI Definition and Calculation Sheet
Target, Threshold, and Tolerance Table
Performance Data Ownership Register

Day 7: Experiments and Learning

Decision Hypothesis and Test Card
Pilot and Experiment Design Canvas
Success, Stop, and Adapt Criteria
Experiment Evidence and Learning Log
Scale, Revise, or Stop Decision Gate

Day 8: Reviews and Corrective Action

Performance Review Meeting Structure
Variance and Root-Cause Analysis Sheet
Initiative Benefit Realization Tracker
Corrective Action and Owner Register
Decision Outcome Feedback Loop

Day 9: Governance and Adoption

AI Decision Governance and Control Map
Performance Reporting and Communication Plan
Manager Adoption and Capability Matrix
Decision Routine and Workflow Integration Plan
Monitoring, Audit, and Change-Control Schedule

Day 10: Decision and Performance Practice

Suggested Exercise: Frame a Cross-Functional Decision
Suggested Exercise: Compare Scenarios and Score Options
Suggested Exercise: Build KPIs and an Experiment
Suggested Exercise: Design Reviews, Oversight, and Adoption
Capstone Exercise: AI-Assisted Decision and Business Performance System

Practical Exercises

The course uses suggested activities that connect AI-assisted evidence to managerial decisions and performance routines.

Suggested activity: frame a decision, identify owners and stakeholders, inventory evidence, and document uncertainty and assumptions
Suggested activity: create scenarios and forecasts, test sensitivities, score options, and record a recommendation
Suggested activity: map objectives, define KPIs, set targets and guardrails, and design a decision experiment
Suggested activity: establish reviews, corrective actions, human oversight, adoption routines, monitoring, and change control

FAQs

Who suits AI-assisted decision making and business-performance training?

AI-assisted decision and performance training suits leaders, managers, strategy, performance, transformation, and analysis teams. It assumes responsibility for business choices or results and requires no programming.

How does AI-assisted decision making differ from data-science training?

AI-assisted decision making focuses on framing, evidence, scenarios, options, human review, KPIs, experiments, and adoption. Data-science training focuses on data preparation, algorithms, coding, model building, and technical evaluation.

How can AI improve managerial decision making?

AI can organize evidence, identify patterns, generate forecasts, compare scenarios, and support option scoring. Managers remain responsible for objectives, context, uncertainty, tradeoffs, stakeholder effects, approval, and accountability.

How should business performance be connected to decisions?

Business performance should connect each decision to objectives, expected outcomes, driver and guardrail measures, targets, owners, review timing, experiments, corrective actions, and learning from actual results.

What is an AI-Assisted Decision and Business Performance System?

The system connects decision canvases, evidence standards, scenarios, option scores, human review, objectives, KPIs, experiments, performance reviews, corrective actions, governance, and adoption routines.

Conclusion

Participants take back an AI-Assisted Decision and Business Performance System connecting evidence, options, measures, experiments, oversight, and reviews. The system makes assumptions, tradeoffs, ownership, performance expectations, and learning visible across functions. It supports traceable managerial choices, coordinated performance routines, and timely adjustment when evidence or outcomes change.

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
Manama	Week 41, 2026 11 – 22 October 2026	12 Days	Onsite	€8,000
Kuwait	Week 41, 2026 11 – 22 October 2026	12 Days	Onsite	€11,000
Sharm El-Sheikh	Week 43, 2026 19 – 30 October 2026	12 Days	Onsite	€7,000
London	Week 44, 2026 26 October – 6 November 2026	12 Days	Onsite	€10,000
Abu Dhabi	Week 44, 2026 26 October – 6 November 2026	12 Days	Onsite	€8,000
Accra	Week 44, 2026 1 – 12 November 2026	12 Days	Onsite	€5,800
Dubai	Week 46, 2026 9 – 20 November 2026	12 Days	Onsite	€8,500
Singapore	Week 46, 2026 9 – 20 November 2026	12 Days	Onsite	€10,000
Kuala Lumpur	Week 47, 2026 16 – 27 November 2026	12 Days	Onsite	€9,000
Al Jubail	Week 47, 2026 22 November – 3 December 2026	12 Days	Onsite	€11,400
Barcelona	Week 48, 2026 23 November – 4 December 2026	12 Days	Onsite	€10,000
Marbella	Week 48, 2026 29 November – 10 December 2026	12 Days	Onsite	€10,000
Paris	Week 49, 2026 30 November – 11 December 2026	12 Days	Onsite	€10,000
Istanbul	Week 50, 2026 7 – 18 December 2026	12 Days	Onsite	€8,500
Trabzon	Week 50, 2026 13 – 24 December 2026	12 Days	Onsite	€10,000
Cape town	Week 51, 2026 20 – 31 December 2026	12 Days	Onsite	€6,400
London	Week 53, 2026 28 December 2026 – 8 January 2027	12 Days	Onsite	€10,000
Dubai	Week 01, 2027 4 – 15 January 2027	12 Days	Onsite	€8,500
Cairo	Week 02, 2027 11 – 22 January 2027	12 Days	Onsite	€7,000
Madrid	Week 03, 2027 18 – 29 January 2027	12 Days	Onsite	€10,000

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Decision Making and Business Performance Course is a ten-day foundation course for business leaders, functional managers, strategy teams, performance managers, transformation leaders, and decision analysts, who leave with an AI-Assisted Decision and Business Performance System. Participants frame decisions, assess evidence, compare sce…

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 Decision Making and Business Performance Course