WSQ AI-Powered Finance: Automating Insights & Risk Management
About This Course
This WSQ course equips business owners, finance professionals, and individuals seeking to upskill with practical skills to apply Generative AI tools across key financial functions. Learners will explore automation opportunities, generate financial reports and procurement insights, and assess AI-generated outputs for accuracy, bias, and effectiveness.
The course emphasises responsible AI use, data quality assurance, and ethical considerations in financial applications. Through hands-on activities and a structured individual project, participants will plan and execute AI applications, evaluate model performance, and propose ethical deployment strategies. By the end of the course, learners will be equipped to apply AI confidently and critically to improve accuracy, speed, and efficiency in finance operations.
What You'll Learn
(2) Utilise generative AI models to produce outputs from training data and algorithms for automating accounting workflows such as summarisation, transformation, reasoning, and content augmentation.
(3) Evaluate how prompt engineering influences generative AI outputs by testing prompt variations and analysing resulting performance and fitness-for-purpose for financial insights.
(4) Assess how data quality and model-pipeline factors can introduce limitations or bias in AI outputs by analysing risks to compliance and the integrity of financial decision-making.
(5) Propose practical generative AI applications for finance by applying core principles of generative AI, while identifying ethical and societal implications and incorporating these considerations into the proposed solution.
Entry Requirements
Prerequisites
• WPLN Level 4
• Minimum of GCE ‘O’ or equivalent; OR
• NITEC/Higher NITEC.