DDataSnipper

DataSnipper is the Excel-based audit platform used by more than 600,000 professionals and all four of the largest audit firms, and since September 2026 it has sold Alwin, an agent platform that runs whole audit procedures and returns finished, source-linked workpapers. It is best for audit firms, internal audit teams and finance teams that already test evidence in Excel. The main points to plan for are that pricing is quote only and Alwin is new.

CROP Accountants & Advisers reports its cash testing became about 80% faster with the agents. This review is based on DataSnipper’s announcements, press coverage and public ratings as of October 2026; we have not tested it hands-on.

Hard Figures From a Larger Audit AI Company

DataSnipper is one of the larger AI companies selling to auditors, and it publishes more hard figures than most. Each fact below was checked on the linked page.

For buyers, Big Four adoption is the headline fact. Audit software at those firms passes strict methodology and risk reviews, and DataSnipper’s existing footprint means Alwin arrives inside a tool many auditors already use daily rather than as a new system to learn.

The customer results describe early adopters of a product launched in late September 2026, so treat the 80% cash-testing figure as one firm’s experience. The $1.4 billion savings figure is DataSnipper’s own estimate.

The Microsoft partnership matters for IT and risk teams. Agents built on Azure inside a Microsoft-centric toolset are easier to approve at firms that already run on Microsoft tools.

Agents Built on the Excel Snip Add-In

DataSnipper’s agents sit on top of the Excel add-in auditors use to extract data from documents and tie it to evidence. The core idea, a Snip linking each figure to its exact place in a source document, carries through to the agents.

Alwin: Whole Procedures

1. Pick or build an agent. Teams choose an agent from a governed library or build their own, such as a cash-testing or revenue-testing agent. Admins control who can access, run and publish agents.
2. Point it at the evidence. The agent pulls documents from data sources and systems of record, often hundreds per procedure.
3. It runs the procedure. Cloud agents collect evidence, verify it and prepare the reporting, working across many files in parallel.
4. Review gates. Checkpoints run throughout execution so people can confirm or correct work before it moves on.
5. Workpapers come back. Completed workpapers return for human review, with every output linked to its source Snip and a log of agent and human changes.

DataSnipper’s early adopters show the range: CROP Accountants & Advisers automated cash testing, Rehmann tested revenue transactions and inventory costs, Rehmann and FGMK ran general ledger extraction, and BDO Czech Republic built dozens of agents for evidence testing, including internal audit agents running in parallel.

Agents Inside Excel

• Excel Agents: automate analysis and testing within Excel and give prompt-driven insights and decision support.
• Disclosure Agents: turn IFRS and GAAP disclosure checklist reviews into guided workflows.
• AI Extractions: convert unstructured documents in multiple languages and formats into analysis-ready data in Excel.
• DocuMine: finds specific information in long, complex documents with a single query.
• AI Agent in Excel: announced with Microsoft, it can identify the evidence needed for a SOC 2 user access control, match extracted evidence to a sample list and flag risky documents.

Where Agents Fit in an Engagement

The practical split is between fieldwork that follows a fixed recipe and work that needs judgment. Tests such as cash confirmation matching, revenue vouching or inventory cost checks follow defined steps against large stacks of documents, which is where Alwin’s parallel cloud agents help most. Planning, risk assessment, materiality and conclusions stay with the engagement team. Because the agents return workpapers in a familiar format with Snips attached, a senior can review them the same way they would review a junior’s file, rather than learning to read a new kind of output.

For firms with a methodology group, the governed library is the part to plan around. One team can build and test an agent for a procedure, publish it with access controls, and let engagement teams run it across clients, which keeps quality consistent across offices.

Auditors Keep Planning, Sampling and Judgment

CEO Vidya Peters has framed Alwin as handling complete procedures while professionals keep control of judgment-based work. Auditors still plan the engagement, choose samples and procedures, review the workpapers, resolve exceptions and sign off. Setting up good agents also takes expertise, which is why firms such as BDO Czech Republic built their own.

An ROI Calculator Instead of Plan Prices

DataSnipper sells by quote. The table reflects what the company publishes.

Cash Testing Hours at a Mid-Size Firm

Because prices are quoted, test value with time arithmetic before the sales call.

Mid-size audit firm, cash testing. If cash testing takes 10 hours per engagement across 30 engagements a year, that is 300 hours. If your result matched CROP’s reported 80% speed-up, you would save about 240 hours. Multiply by your blended staff cost to set a ceiling on what the agent is worth for that one procedure.

Internal audit team. BDO Czech Republic’s dozens of agents show the bigger payoff comes from covering many procedures, not one. Count the recurring tests your team runs each quarter and price the quote against the hours across all of them.

Hidden and variable costs. Expect time to build and validate agents, train staff (a frequent request in Capterra reviews) and possibly upgrade packages, since AI products come in separate bundles.

Whether Alwin Is in Your Package

• Agent access: whether Alwin and its cloud agents are in your package or an add-on to the Excel platform.
• Pricing unit: whether the quote is per user, per engagement or by usage of cloud agents.
• Ready-made agents: which procedures have prebuilt agents and which your team must build.
• Security review: a copy of the SOC 2 Type II report and details of where documents are processed.

DataSnipper Compared With Fieldguide, Basis and Truewind

These are the agent platforms most likely to come up when an accounting or audit firm shops for automation.

DataSnipper’s edge is that it lives in Excel and already sits on auditors’ desktops at the largest firms, so adding agents is a smaller change. Fieldguide replaces more of the engagement workflow. Basis spans tax and accounting as well as audit. Truewind is the pick for close work rather than audit testing. Many firms will end up with more than one: DataSnipper for evidence testing inside the audit file, and a separate tool for close or tax work on the client side. The deciding factor is usually where your staff spend their fieldwork hours today. See the full list on our accounting firm agents page.

Audit Teams Running Repeatable Tests

• Audit firms of any size already using DataSnipper: agents extend a tool staff know and keep the Snip audit trail.
• Teams with repeatable tests: cash, revenue and inventory testing were early Alwin use cases.
• Internal audit departments: parallel cloud agents suit testing large evidence sets, as BDO Czech Republic showed.
• Corporate finance and reporting teams: Disclosure Agents support IFRS and GAAP checklist reviews. See our enterprise agents page.
• Firms that want to build their own agents: the governed library lets methodology teams publish approved agents.

Tax Preparers and Bookkeepers

• Tax practices: it does not prepare returns; look at Black Ore.
• Bookkeepers: bank-feed categorization and reconciliation tools such as Booke AI or Digits fit better.
• Teams outside Excel: the platform is built around Excel workbooks.
• Buyers who need published pricing: every package is quoted.
• Teams wanting a hands-off audit: DataSnipper’s own CEO says the future is not autonomous audit, and the agents are built to keep professionals in charge.

New Agents and Extraction Checks

• New agents: Alwin launched on September 24, 2026; most evidence comes from a handful of early adopters.
• Extraction accuracy: Capterra reviewers report misread handwriting, incomplete table captures and occasional wrong document matches, so review gates matter.
• Performance: large workbooks can slow down, and viewing embedded documents requires the software installed.
• Training load: several reviewers want more tutorials, and agent building adds a new skill to learn.
• Package complexity: AI products are sold in packages, so confirm exactly which agents your quote includes.

Alwin Launches for End-to-End Audit Work

On September 24, 2026, DataSnipper launched Alwin, its platform for end-to-end agentic automation of audit and finance procedures, with early users including CROP Accountants & Advisers, Rehmann, FGMK and BDO Czech Republic. In 2026 it was named No. 2 in Europe, the Middle East and Africa on Fast Company’s Most Innovative Companies list. On July 29, 2025, DataSnipper and Microsoft announced AI agents for audit and finance built on Azure.

A Safe Bet for Auditors Already Using the Add-In

For audit firms and internal audit teams, DataSnipper is one of the safest bets in AI agents: a tool already used by more than 600,000 professionals and all of the Big Four, rated 4.8 from 221 G2 reviews, now adding agents that run whole procedures with source-linked evidence. It scores 8.1/10 on our scale.

Firms not yet on DataSnipper face a bigger decision, since they are buying the platform and the agents together. For them, the strong review scores and wide adoption lower the risk, but the comparison with Fieldguide or Basis should rest on which procedures each tool automates for your methodology, not on headline numbers.

Published pricing and more time in market for Alwin would lift the score; the core product is not what limits it. Start with one repeatable, document-heavy test, such as cash or revenue testing, run it in parallel with your current approach for an engagement or two, and check every Snip on a sample before trusting the review gates.

DataSnipper’s Quote-Based Pricing

How Much Does DataSnipper Cost?

DataSnipper prices by quote and does not list plan prices. It offers an ROI calculator, and its AI products come in packages; the company said in 2025 that 58% of new customers chose packages that include AI.

What Is DataSnipper Alwin?

Alwin is DataSnipper’s agentic platform, launched in September 2026, that runs full audit and finance procedures. It collects and verifies evidence across hundreds of documents and returns completed workpapers, with review gates and a log of agent and human changes.

Do the Big Four Use DataSnipper?

Yes. DataSnipper says Deloitte, EY, KPMG and PwC all use its platform. That refers to the platform overall, not specifically to Alwin.

Can DataSnipper Agents Sign Off on Audit Work?

No. The agents prepare and verify evidence and return workpapers, and professionals keep judgment-based work and sign-off. Every output links to a source Snip so reviewers can check it.

What Do Users Most Often Ask DataSnipper to Improve?

On Capterra, reviewers most often ask for more training and tutorials, report slow loading with large Excel files and mention occasional extraction errors on handwriting or complex tables. Praise centers on time saved and the source-linked audit trail.

How Does DataSnipper Compare With Fieldguide?

DataSnipper works inside Excel and focuses on evidence extraction and testing, while Fieldguide is a broader engagement platform for audit and advisory firms. Both price by quote.