DataSnipper, the intelligent automation platform for audit and finance teams, has introduced Disclosure Agents and Excel Agents, purpose-built AI solutions that automate complex tasks in disclosure reviews and Excel workflows while ensuring transparency, accuracy, and compliance. These agents integrate seamlessly into existing audit processes, targeting time-consuming manual efforts in IFRS/GAAP checks and data testing.
Audit and finance professionals navigate strict regulations, unstructured data volumes, and tight deadlines requiring judgment and context. Traditional automation handles repetition but falls short on adaptive tasks. DataSnipper's AI Agents combine efficiency with human-like understanding, linking outputs to evidence to prevent hallucinations and ensure accuracy, enabling scalable handling of workloads and standards evolution.
Disclosure Agents streamline manual reviews by analyzing checklists against financial statements across IFRS, GAAP, and global standards, incorporating firm-specific policies. They accelerate processes, cross-check requirements, and provide transparent evidence links for audit trails, allowing faster annual report and subsidiary compliance without overburdening staff.
Excel Agents bring agentic automation to Excel-based testing, automating sample matching, field extraction, and result comparisons via prompts without setup or retraining. Outputs include explainable, cross-referenced results for regulatory trust, shifting focus from routine tasks to risk assessment and advisory.
"Disclosure Agents and Excel Agents are built to solve our customers' biggest pain points, manual testing, complex disclosures, and fragmented workflows," said Vidya Peters, CEO at DataSnipper. "By embedding AI directly into the tools professionals already use, we're helping teams move faster, reduce risk, and reclaim time for higher-value work."
"Building on our collaboration with DataSnipper, this launch highlights how Azure OpenAI can accelerate innovation in complex, regulated environments," said Jaime De Mora, CTO Startups & Digital Natives at Microsoft EMEA. "AI Agents in audit and finance are a powerful example of technology working alongside professionals to enhance quality and efficiency."
"Collaborating with DataSnipper on new AI Agents demonstrates how AI can enhance, not replace, the human role," said Kevin Murphy, AI Product Lead at Grant Thornton Advisors LLC. "Their focus on embedding AI agents that support interpretability and due care within the user interface reflects a shared commitment to innovation and human-in-the-loop oversight."
DataSnipper's AI Agents advance agentic workflows in audit and finance, making compliance, testing, and insights more efficient while preserving professional oversight.
DataSnipper is transforming data in the audit and finance industry. Founded in 2017, DataSnipper provides audit and finance teams with an intelligent automation platform to drastically increase the quality and efficiency of audit and finance procedures. DataSnipper is used by over 600,000 audit and finance professionals in 175 countries and serves all four of the largest global auditing firms: Deloitte, Ernst & Young (EY), KPMG, and PricewaterhouseCoopers. DataSnipper is the fastest-growing tech company in the Netherlands two years running and raised $100 million in Series B in 2024, led by Index Ventures at a $1 billion valuation.
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