Custom AI automation aligns systems with business workflows, supporting monitoring, retraining, data confidentiality, and measurable performance objectives.
Custom AI automation configures systems around an organisation's data, processes and objectives, rather than requiring workflows to conform to generic software. Operational use includes customer-support automation, demand and inventory forecasting, and document and data processing through computer-vision and natural-language-processing pipelines. Project planning should identify the KPI to be affected, methods for measuring and reporting return on investment, safeguards for data security and confidentiality, and arrangements for ongoing monitoring and retraining. (AI Summary)