DataSnipper and Microsoft Launch Disclosure and Excel AI Agents for Audit and Finance

DataSnipper and Microsoft launch Disclosure and Excel Agents for audit and finance. They speed disclosure reviews and Excel testing with traceable evidence and audit-ready outputs.

Categorized in: AI News Finance
Published on: Oct 02, 2025
DataSnipper and Microsoft Launch Disclosure and Excel AI Agents for Audit and Finance

DataSnipper and Microsoft launch AI Agents for audit and finance

DataSnipper announced two new AI Agents built for audit and finance: Disclosure Agents and Excel Agents. The goal is simple-automate complex reviews and testing inside the tools teams already use, with an audit trail you can trust.

"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."

Why this matters for finance teams

Regulation is strict, data is messy, and deadlines don't move. Traditional automation helps with repetition, but it struggles where judgment and context are required.

DataSnipper's AI Agents bridge that gap. Each output is linked to its underlying evidence, reducing the risk of AI hallucination and making reviews defensible with a clear trail.

"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.

Disclosure Agents: faster, defensible disclosure reviews

Disclosure reviews drain time and attention. Teams juggle IFRS, GAAP, and internal policy checks across multiple tools. Disclosure Agents streamline the process without losing control.

  • Analyze disclosure checklists against financial statements in minutes, not days.
  • Work across IFRS, GAAP, and other global standards.
  • Cross-check firm checklists, internal policies, or imported templates so reviews reflect global rules and local practice.
  • Link every requirement to transparent, verifiable evidence for a clear audit trail.

Practical outcomes: annual report disclosures reviewed faster, subsidiary reports checked for policy alignment automatically, and internal compliance audits delivered without monopolizing senior staff.

Excel Agents: automated testing inside Excel

Most audit testing still runs in Excel. Excel Agents bring prompt-driven automation into that environment so teams keep their workflows-and drop the manual steps.

  • Automate end-to-end testing: match samples to documents, extract key fields, compare to expectations.
  • Run directly in Excel with prompts-no complex setup, templates, or retraining.
  • Produce explainable, audit-ready outputs with full cross-references.
  • Free teams to focus on risk assessment, exceptions, and advisory work instead of copy/paste.

"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."

What this means for CFOs, controllers, and audit leaders

  • Start where the payoff is clear: annual disclosures, revenue recognition notes, AP/AR testing, and tie-outs.
  • Centralize your checklists and policies so the agent applies both standards and firm rules consistently.
  • Keep human review in the loop-set thresholds for exceptions, sampling, and materiality.
  • Measure impact: turnaround time, exception rates, rework, and documentation quality.
  • Coordinate with IT and risk: data access, evidence retention, and model governance on Azure.

Data points for your next AI discussion

  • AI outputs are linked to source evidence for traceability and regulator-ready documentation.
  • Embedded in existing tools to reduce change management and speed adoption.
  • Supports fluctuating workloads and evolving standards with consistent application of rules.

About DataSnipper

Founded in 2017, DataSnipper provides an intelligent automation platform used by over 600,000 audit and finance professionals across 175 countries. The company serves all four of the largest global auditing firms and raised $100 million in Series B funding in 2024, led by Index Ventures at a $1 billion valuation. DataSnipper has been the fastest-growing tech company in the Netherlands two years running.

Want to upskill your team on AI in finance?

For curated tools and training specific to finance workflows, explore this resource: AI tools for finance.