Faysal AzizAgentic AI for Executive Leadership
Practical adoption, oversight and strategic decisions
A concise executive workshop on agentic AI capabilities, business use cases, tool selection, governance and a realistic adoption roadmap.
Why this course
Agentic AI systems can plan multi-step work and use connected tools, but their reliability, autonomy and access depend on the implementation and the permissions they receive. This half-day workshop helps executives distinguish practical opportunities from exaggerated claims.
Participants examine business scenarios, compare selected tools and discuss oversight, privacy, change management and measurable pilot objectives. Short demonstrations and a planning exercise support an initial adoption decision; the workshop does not implement enterprise integrations or establish legal compliance.
Learning outcomes
The workshop teaches participants to:
- Explain how tool-using agents differ from a basic conversational assistant and conventional automation.
- Identify plausible business use cases and the conditions needed for a useful pilot.
- Compare selected agent platforms, coding assistants and model ecosystems without assuming equivalent capabilities.
- Outline a phased workflow adoption approach, success measures and monitoring responsibilities.
- Recognise privacy, bias, security, accountability and legal-review questions.
- Draft initial priorities and a high-level adoption roadmap.
Prerequisites
- A foundational understanding of artificial intelligence concepts.
- Familiarity with organizational operations and strategic planning.
- An interest in technological innovation and its application in business contexts.
7 modules
011 — Agentic AI fundamentals1 topics
Capabilities and boundaries
- Planning, reasoning, context and tool-mediated actions.
- Agents, chatbots and conventional automation: differences and overlaps.
- Bounded autonomy, human review and the evolving technology landscape.
022 — Business opportunities1 topics
Operational efficiency
- Automating routine tasks and processes.
- Enhancing supply chain management and logistics.
Customer engagement
- Personalizing customer experiences through intelligent agents.
- Customer-response workflows and human escalation; distinguish conversation from agentic action.
Decision support
- Data analysis and predictive modeling.
- Scenario planning and risk assessment.
033 — Comparing selected tools1 topics
Compare selected examples rather than attempting a full hands-on implementation of every platform.
- Manus: general-purpose task execution and its operating environment.
- ChatGPT and ChatGPT Work: conversational assistance and tool-supported multi-step work where available.
- Codex: coding, debugging, testing and software-development tasks.
- Gemini: selected business assistance and analysis capabilities available in the chosen account.
- Hugging Face: model discovery and deployment options; distinguish model licences, openness and a complete agent application.
- Selection criteria: data handling, available integrations, permissions, cost, reliability and human review.
044 — Workflow integration and evaluation1 topics
Assessment and planning
- Identifying areas for Agentic AI implementation.
- Setting objectives and success metrics.
Phased adoption
- Phased deployment approaches.
- Training and change management.
Monitoring
- Performance tracking and continuous improvement.
- Feedback mechanisms and iterative development.
055 — Governance and responsible use1 topics
Privacy and security
- Identify applicable privacy, contractual and regulatory questions for appropriate specialist review.
- Safeguarding sensitive information.
Bias and fairness
- Identifying and mitigating algorithmic biases.
- Promoting equitable outcomes.
Accountability
- Establishing oversight structures.
- Define operational responsibility, oversight and escalation; identify liability questions for legal review.
066 — Demonstrations and illustrative cases1 topics
A short demonstration of one or two available tools using non-confidential data, followed by a discussion of limitations and approval boundaries.
Review illustrative business scenarios and identify success criteria, failure modes and lessons; examples are not claims of the trainer's client achievements.
077 — Initial adoption roadmap1 topics
Leadership and change
- Crafting a compelling narrative for AI integration.
- Leading organizational change.
Resources
- Budgeting and investment considerations.
- Building cross-functional teams.
Priorities and outlook
- Setting short-term and long-term goals.
- Review foreseeable technology changes and revisit assumptions rather than predict guaranteed outcomes.
A programme built around your team.
Share your training goals and requirements.