The Role of AI in Financial Reporting & Regulatory Compliance Webinar
Overview
Artificial intelligence is moving beyond basic prompting toward agentic systems capable of supporting complex, multi-step workflows. For accounting and finance professionals, this evolution creates opportunities to accelerate analysis, streamline recurring processes, and improve the preparation of materials subject to regulatory and audit scrutiny.
This course examines practical applications of AI across finance, accounting, and regulatory compliance. Participants will explore the differences between using AI for analytical finance activities and controlled accounting processes, including the need for deterministic outputs, auditability, authoritative source data, and appropriate human oversight. A practical demonstration illustrates how GenAI can help organizations discover relevant information, validate it against established requirements, and generate draft responses to federal regulatory requests. During this course, participants will learn how to:
- Distinguish among conversational AI, enterprise AI platforms, and agentic systems
- Identify practical AI applications in finance, accounting, and regulatory compliance
- Evaluate AI opportunities for variance analysis, reconciliations, SEC reporting, and accounting research
- Apply a discover–validate–generate approach to AI-enabled workflows
- Use authoritative source documents to support reliable and verifiable AI-generated responses
- Incorporate professional review, validation, citations, and controls into AI-generated work
- Recognize risks involving accuracy degradation, incomplete source coverage, and unsupported answers
Objective
To provide accounting and finance professionals with a practical understanding of how generative and agentic AI can support analytical, accounting, and regulatory-response workflows while maintaining appropriate controls, auditability, professional judgment, and human oversight.
Emphasis
- The evolution from generative AI prompts to agentic workflows
- AI platforms, hyperscalers, and enterprise applications
- Finance applications, including flux and variance analysis, fact-checking, and analytical work
- Accounting applications, including account reconciliations, SEC reporting, and accounting pronouncement research
- Differences between AI-assisted finance analysis and controlled accounting processes
- AI-supported document discovery and documentation mapping
- Validation using rules and subject-matter professional input
- Generation of draft regulatory responses with verifiable citations
- Data governance, knowledge management, and change management
- Human review and professional responsibility for AI-assisted outputs
- Managing coverage gaps, answer accuracy, and model limitations
Speakers
Jonathan Fowler, AI Developer, Advisory, KPMG LLP
Alex Mendoza, Director, Advisory, KPMG LLP
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