Harnessing GenAI for Research Tax Credits

Generative AI (GenAI) is significantly influencing how organizations approach research tax credit studies. By supporting data collection and analysis, GenAI enables teams to sift through large volumes of technical materials more effectively driving additional value and quality. This shift can reduce manual workloads, allowing engineering and IT professionals to prioritize higher-level insights over collating and cleaning documentation.

Beyond assisting with data analysis, GenAI also aids in drafting technical narratives and memoranda. By methodically organizing key facts and references, these human-guided, AI-driven tools will help produce consistent, thorough records of eligible activities.

For many organizations, staying aligned with evolving guidelines and real-world audit experiences can be challenging. GenAI can often integrate relevant regulations and insights, which may support more effective study practices over time.

With KPMG Trusted AI as our foundation, we bring together advanced AI models and the experience of our tax professionals under controlled governance measures. We do this through KPMG Digital Gateway, a coordinated suite of tools designed to assist with data extraction, documentation, and compliance reviews. This approach involves consistent monitoring, risk assessment, and clear protocols aligned with professional and regulatory expectations.

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