Data, AI and Automation for Senior Finance Leaders (Advanced)
Build on your foundational and intermediate knowledge to design flexible ERP and data architectures that reduce cost, avoid lock in and support future growth.
Shape Your Digital Decision Making
After developing a clear understanding of how data works at the foundational level and how AI enabled workflows are designed in the intermediate course, senior finance leaders are ready for the next step. The advanced level focuses on how to apply this knowledge across the entire organisation by shaping system architecture, ERP strategy and long term digital direction. This is where finance moves from participating in AI adoption to actively steering it.
You will learn how to take the components explored in earlier modules, such as data models, workflows, automation logic and AI decision tools, and assemble them into a flexible architecture that can scale. The course explains how to design systems so that the systems such as finance systems, CRMs, HR software and AI components can be updated or replaced without major changes to the wider environment. This approach protects your investment, avoids lock in and ensures the organisation remains competitive as technology evolves.
By the end, leaders will understand how to maintain ownership of their digital ecosystem, reduce long term costs and build a modular ERP strategy that adapts as the business grows. You will be able to challenge proposals with confidence, identify architectural risks early and create a digital roadmap that builds resilience, improves insight and strengthens financial control across the organisation.
Future-Proof Your Role
What to Expect
- How to apply foundational data knowledge to full system architecture and ERP design
- How to use intermediate workflow understanding to build modular, AI ready ecosystems
- How to design ERP environments that allow components to be upgraded or replaced easily
- How modular architecture reduces long term cost and prevents dependency on a single provider
- How enterprise wide process mapping identifies where flexibility, automation and AI should be introduced
- How advanced AI tools such as predictive models and agentic workflows connect to ERP and operational data
- How APIs, data pipelines and orchestration layers support a scalable, future proof environment
- How to interpret architectural diagrams and spot long term constraints, risks and inefficiencies
- How to construct governance and control frameworks that ensure safe and reliable scaling of AI
Key Outcomes
- Ability to design or evaluate a flexible ERP and data architecture that supports organisational growth
- Confidence to make long term digital investment decisions based on clarity, control and cost effectiveness
- Capability to lead enterprise process mapping that aligns with automation and AI opportunities
- Understanding of how to embed predictive modelling, dynamic forecasting and AI decision tools into modular systems
- Clear insight into how to avoid vendor lock in and retain control of your digital ecosystem
- A strategic roadmap for building a modern, scalable and financially resilient digital environment