Audit and Finance Teams Excel with DataSnipper
Extract, cross-reference and verify data like never before. Win back time to focus on discrepancies and high-value activities.
Financial Control
Equip and upskill your financial controllers with the intelligent automation platform. Boost productivity and gain efficiency in your financial procedures.
Internal Audit
Use DataSnipper to automate your internal controls testing. Efficiently evaluate the effectiveness of the controls based on supporting evidence.
External Audit
Transform your firm with the Intelligent Automation Platform. Save time to focus more on high-risk areas, and create easy-to-review audit reports in Excel.
Tax
Use DataSnipper to eliminate manual tasks in your Tax procedures, and have more time to advise your clients on their tax strategy.
Government Audit
Securely conduct Government Audits with our Intelligent Automation Platform. Shorten review times, focus more on high-risk areas, and create easy-to-review audit reports in Excel.
Advisory
Use DataSnipper to pinpoint and extract specific data for your client reports.
Watch the video below on driving efficiency in cross-functional teams with intelligent automation
Resources
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Wednesday, October 21, 2026 DataSnipper
Is Your Audit Team Making Real Progress With AI?
The AI Maturity Model for Audit and Finance breaks adoption into four stages, from task-based automation to connected agents. Find out where your team stands and what to do next. -
Thursday, September 17, 2026 DataSnipper
9 AI Templates to Streamline Your Audit Workflows
Put AI to work in your audit workflows. Get 9 practical templates for reviewing agreements, policies, board minutes, valuations, and more, helping you find critical information faster and spend more time analyzing what matters. -
Monday, June 22, 2026 DataSnipper
AI in Internal Audit: From Experimentation to Execution
New research from 200+ audit and finance professionals reveals how organizations are adopting AI, addressing governance challenges, building trust, and preparing for the future of AI-enabled internal audit.
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