Course Description

Course Code : BMBA3010

This one-day workshop is aimed at process owners and engineers who are considering introducing process automation projects using AI or Machine Learning. 

The workshop is designed to cover the basic steps of process mapping, specifying a suitable reference architecture and introduce delegates to the principles of data discovery. In addition, the workshop will explore data foundations, AI models and tools before embarking on an AI-driven automation project within your organisation. 


Course Objectives

To understand the best practice approach to automation planning and data capture

To understand and apply basic principles of process mapping and creating supporting documentation

To be able to identify key data points and decision logic

To be able to create a specification for an AI model and define data sets within your organisation

Course Features

Identification of the business AI objectives in line with automation goals 

Process Mapping and SOP Auditing to identify current workflows and identify obvious inefficiencies, based on LEAN Six Sigma methodologies 

Identifying key users through typical workflows 

Documenting major process steps and decision points 

Identifying handoffs and interfacing between people/systems 

Pain-point identification, bottlenecks and delays 

Identification of repetitive/unnecessary tasks, errors and rework 

Stakeholder input from process owners including wish-lists and current workarounds 

Data Audit to quickly map critical data sources and assess integration feasibility 

Data inventory and primary sources, formats and access 

Identification of data silos and duplication, manual entry points and frequencies 

APIs and export capabilities, security and access constraints 

Realtime vs batch data availability