Things to Consider
Start by identifying where AI truly adds value (such as drafting emails, summarizing documents, or supporting internal research) and where it should not be used (final tax positions, audit conclusions, or sensitive client deliverables). Understand how each tool handles data, where it’s stored, who can access it, and whether it’s used to train external models, so you can protect client information and stay aligned with privacy laws and engagement terms.
Then, integrate AI into your existing supervision and quality control processes: determine who reviews AI output, how it’s verified against primary sources, and how its use is documented in the file. Be realistic about your firm’s risk appetite across tax, audit, and advisory, and make sure your policies, training, and insurance needs evolve as your AI usage grows.