Program objective
Equip managers and business leaders to make informed AI adoption decisions and translate promising use cases into controlled pilots. Participants evaluate tools, redesign workflows and define the governance, workforce readiness and measures needed for responsible implementation.
Who this suits
Business leaders, functional managers, transformation professionals and project owners evaluating or leading AI adoption.
Professional objectives
- Prioritize AI opportunities against business value, feasibility and risk.
- Evaluate tools and redesign a workflow with accountable human oversight.
- Develop a pilot business case with measurable benefits, adoption support and decision gates.
Key learning outcomes
- Classify candidate use cases and justify the level of human oversight required.
- Produce a tool comparison and a reusable prompt-and-evaluation template.
- Create a representative test set with acceptance criteria and escalation rules.
- Design a future-state process map and a controlled prototype brief.
- Prepare a governance checklist and an adoption plan for one business unit.
- Present a one-page investment case and a 30-60-90-day pilot roadmap.
Module map
- 1.AI capability and leadership judgment
- 2.Tool selection and practical prompting
- 3.Evidence, knowledge and output evaluation
- 4.Workflow redesign and agent boundaries
- 5.Governance, workforce and adoption
- 6.Business case and pilot delivery
Modules in detail
1
AI capability and leadership judgment
Theory & concepts
Distinguish generative AI, predictive analytics, automation and agents. Identify suitable work across operations, HR, finance and commercial functions, and separate credible use cases from claims that lack evidence. Separate improving an existing workflow with AI from managing a project that develops AI. Assess where language models, analytical models and rules-based systems differ in suitability and limitations.
Professional application
Distinguish technical capability from organizational readiness. Examine whether poor data, unclear ownership or weak processes must be addressed before an AI investment can produce useful results.
Hands-on exercise & output
Classify candidate use cases and justify the level of human oversight required.
2
Tool selection and practical prompting
Theory & concepts
Compare Microsoft Copilot and Google Gemini through business-task demonstrations. Construct prompts using objectives, context, evidence and output criteria, and assess quality, data handling, integration and total cost before selection. Compare assistants against an identical brief, approved sources and an evaluation rubric. Include licensing, security, integration, usability and switching costs in the tool-selection decision.
Professional application
Construct a weighted tool-selection scorecard and test competing tools against the same business task. Separate appealing demonstrations from repeatable performance on representative work.
Hands-on exercise & output
Produce a tool comparison and a reusable prompt-and-evaluation template.
3
Evidence, knowledge and output evaluation
Theory & concepts
Ground responses in approved source material and distinguish retrieval from model-generated inference. Test accuracy, completeness, bias and repeatability through representative examples, and define situations that require specialist judgment. Explain retrieval-augmented generation at a business level and the importance of source freshness. Test fabricated references, contradictory inputs, data leakage and inappropriate confidence in a response.
Professional application
Set different review requirements for low-consequence drafts and high-consequence business decisions. Define acceptable evidence, failure thresholds and the point at which the system must defer to a person.
Hands-on exercise & output
Create a representative test set with acceptance criteria and escalation rules.
4
Workflow redesign and agent boundaries
Theory & concepts
Map the current process, identify avoidable handovers and design an assisted workflow. Specify permissions, approval points, exception handling and audit records, and distinguish supervised assistance from autonomous action. Specify triggers, inputs, outputs and exceptions for each process step. Compare a simple automation, an assistant and an agent, and assign approvals before consequential actions.
Professional application
Identify the handovers and decision points that create delay. Redesign responsibilities and exception routes before adding automation, and document the human decision that remains necessary at each stage.
Hands-on exercise & output
Design a future-state process map and a controlled prototype brief.
5
Governance, workforce and adoption
Theory & concepts
Assign business ownership, information controls and escalation responsibilities. Assess role changes, capability needs and employee concerns, and design communication and training that support responsible use in daily work. Define an acceptable-use standard, ownership matrix and incident pathway. Assess changes to work allocation, capability, incentives and manager behavior that determine adoption.
Professional application
Map the effect on roles, skills and management practices. Develop a communication approach that explains purpose, boundaries and support, and connect adoption measures to actual changes in work.
Hands-on exercise & output
Prepare a governance checklist and an adoption plan for one business unit.
6
Business case and pilot delivery
Theory & concepts
Estimate implementation costs, review effort and potential benefits against a baseline. Define a small pilot, success thresholds, feedback mechanisms and scale-or-stop decisions, with explicit accountability for operational outcomes. Separate gross time savings from realized capacity or cost benefits. Include setup, subscriptions, review effort and maintenance, and define a baseline, pilot sample and go/no-go threshold.
Professional application
Test the investment case under conservative, expected and optimistic assumptions. Define the evidence needed to expand, redesign or stop the pilot rather than treating launch as success.
Hands-on exercise & output
Present a one-page investment case and a 30-60-90-day pilot roadmap.
Integrated assignment
Develop and defend an AI pilot proposal covering the business problem, workflow, tool-selection rationale, human review, adoption needs and success measures.
Delivery & methodology
Format
Part-time professional training
Attendance
Face-to-face · Live online
Location
Dubai / UAE for face-to-face cohorts; online attendance available
Timing
Session hours, timetable, venue and cohort availability are confirmed in joining instructions.
- Pre-course needs and learning-goals assessment
- Facilitated theory and professional concepts
- Guided demonstrations, case analysis and hands-on exercises
- Application to workplace decisions, with discussion and feedback
- Post-course learning review and a personal application plan
Assessment & application
Before
Identify your role, experience, priority objectives and a workplace task you want to improve. Record a baseline confidence rating with an example of current capability.
During
Review module exercises for accurate use of the method, evidence supporting decisions, relevance to the case and clarity of the completed output. Use facilitator and peer feedback to refine the work.
After
Compare the completed assignment with your initial objectives. Explain the decisions made, identify remaining gaps and record the next practical steps.
Workplace transfer
Create a personal 30-day application plan with a defined action, target date, required support and an observable success measure. This is a participant follow-through plan; ongoing coaching is scoped separately.
Frequently asked questions
How does the program connect AI choices to measurable benefits?
You build a pilot proposal that links technology choices to accountable decisions, governance and a practical implementation sequence with measurable benefits.
How are vendor claims handled?
Realistic cases are used to challenge unsupported claims and connect technology choices to accountable decisions.
Are the dates confirmed?
Dates, delivery format and places are confirmed by TIH before any booking is finalized. Use the enquiry option to check the next available cohort.
