Functional & Business Track
Applied AI for Business: & Real-World Use Cases & Strategic Pitfalls to Avoid
Immersive AI programme for leaders and functional teams who need tangible results now. Map predictive and generative use cases, build automation playbooks and deploy adoption guardrails with confidence.
Applied AI for Business: & Real-World Use Cases & Strategic Pitfalls to Avoid
Functional & Business Track . Participants learn how to activate artificial intelligence (predictive, automation & GenAI) across their department without diving into technical complexity. The day mixes strategy, live demonstrations, guided prompting and governance guardrails so they leave with a personalised action plan.
Programme Objectives
- Explain the different AI capabilities (predictive, automation & generative) and the business value they create.
- Identify relevant use cases for each role, department or business model.
- Use AI assistants and GenAI tools efficiently for daily professional tasks.
- Structure clear instructions to obtain reliable, actionable outputs.
- Assess risks linked to data protection, ethics and governance.
- Draft an actionable generative AI roadmap aligned to business goals.
Target Audience
- Business leaders, managers and transformation sponsors.
- Functional roles in HR, finance, marketing, legal, CX or operations.
- Product owners, project managers and innovation leads.
- Support functions and enablement teams accelerating GenAI adoption.
Prerequisites
- No technical background or AI experience required.
- Understanding of your own business processes and KPIs.
Programme Overview – Hands-on Journey
Module 1 – AI & Generative AI Business Impact
Clarifies how AI automation, predictive analytics and GenAI differ from traditional tools and why they reshape productivity, decision-making and customer experience. Includes enterprise benchmarks and lessons learned.
Module 2 – High-Impact Business Use Cases
Explores cross-function AI use cases (forecasting, copilots, intelligent workflows). Participants evaluate value, feasibility and governance requirements before prioritising quick wins.
Workshop: identify role-specific AI/GenAI opportunities.
Module 3 – Using AI in Daily Work
Covers how to brief predictive dashboards, copilots and GenAI models, iterate on outputs, validate reliability and embed human judgment. Includes guided exercises on business scenarios.
Module 4 – Prompting & Automation Playbooks
Introduces an easy prompt framework, automation templates for each function and helps participants translate their use cases into reusable playbooks.
Workshop: build prompt & automation libraries for real situations.
Module 5 – Governance, Ethics & Compliance
Addresses data protection, confidentiality, intellectual property, bias and the role of human oversight. Participants define safe-use guidelines aligned with company policy.
Module 6 – Building a Generative AI Action Plan
Helps teams select priority use cases, align stakeholders, define KPIs and structure a 30 / 60 / 90-day roll-out.
Deliverable: personalised GenAI roadmap and checklist.
Outcomes & Key Benefits
- Immediate applicability on business workflows and decision-making.
- Clear, reusable prompting and automation framework for every participant.
- Risk-aware adoption playbook covering ethics, data and compliance.
- Ability to communicate AI value, feasibility and governance needs to stakeholders.
Teaching Methods
- Instructor-led sessions with live demonstrations.
- Practical workshops, guided exercises and peer reviews.
- Business-focused case studies and templates ready for reuse.
Assessment & Certification
- Continuous evaluation through workshops and prompt challenges.
- Validation of the personalised GenAI roadmap.
- Certificate of completion issued at the end of the course.
Normative References
- ISO 25010 – quality of AI-enabled systems (reliability, maintainability, efficiency).
- ISO 27001 – information security and data protection requirements.
- Ethical Guidelines for Trustworthy AI – responsible development and human oversight.