Foundations of AI for Investor Relations and Reporting

Investor relations and corporate finance demand accuracy, speed, and clear communication. Artificial intelligence is rapidly transforming how teams handle reporting cycles and prepare for earnings calls. This foundational, text-based course introduces how to apply modern AI tools directly to investor relations workflows. You will discover how to streamline the drafting of earnings materials, summarize complex financial data, and anticipate analyst questions using current techniques like prompt engineering and secure document querying. What you'll learn: • Understand core AI terminology and how language models process financial information. • Write effective prompts to draft earnings scripts, press releases, and reporting narratives. • Apply basic retrieval-augmented generation (RAG) concepts to extract insights from your existing financial documents. • Prepare comprehensive Q&A documents for analyst calls and stakeholder meetings. • Automate routine text summarization to save time during high-pressure reporting cycles. • Evaluate data privacy and zero-trust security best practices when using AI in corporate finance. The curriculum starts by demystifying key AI concepts and terminology before advancing into practical, written scenarios. You will read through step-by-step workflows and analyze text-based prompt examples that you can immediately adapt for your own daily tasks. This course is designed for beginners in investor relations, corporate communications, and finance—absolutely no prior technical or AI experience is required. Enroll today to modernize your reporting workflows and enhance your corporate communications.