This interview features Jin Chang of Fieldguide, co-founder and chief executive officer, as part of theCUBE and NYSE Wired coverage of the AI Agent Conference 2026. Chang discusses their background in auditing and Fieldguide's focus on delivering vertically tuned artificial intelligence for certified public accountant firms. Gemma Allen of theCUBE Research moderates the conversation and clarifies how Fieldguide partners with large firms and integrates with general-purpose large language models. Chang explains Fieldguide's agentic approach, ensemble model architecture and data ingestion capabilities. They describe the platform's ingestion suite and orchestration agent that route specific audit problems to the best models, improving speed to market and operational margins. Chang attributes faster higher-quality outcomes on audit tasks to the company's vertical specialization and proprietary model-evaluation process compared with general-purpose LLMs. Chang emphasizes the urgency to do more with less given shrinking auditor pipelines and outlines how specialized models and orchestration improve audit efficiency and regulatory compliance. The discussion addresses agentic AI, audit technology, audit automation, vertical AI, ensemble AI, data ingestion, orchestration, large language models, regulatory compliance, CPA firms and professional services.