Moby Analytics Turns Auditors Into AI Power Users Without Writing a Line of Code

The Macro: Auditing Is Drowning in Spreadsheets

Here is something most people do not realize about financial auditing: the work is overwhelmingly manual. An audit engagement at a Big Four firm involves teams of people pulling data from client systems, pasting it into Excel, running formulas to check for anomalies, cross-referencing invoices against ledger entries, and documenting every single step. A mid-size audit can involve thousands of individual test procedures, each one requiring a human to open a file, find the right data, apply a rule, and record the result.

This is not because auditors are behind the times. It is because audit work has unique requirements that general-purpose automation tools cannot handle. Every test needs to be traceable back to source documents. Every conclusion needs to be defensible in front of regulators. The methodology is proprietary to each firm and represents decades of institutional knowledge. You cannot just throw a chatbot at it.

The audit technology market has tried to modernize. Caseware and TeamMate provide workflow management. IDEA and ACL handle data analytics. But these tools are built around structured data and predefined tests. They do not handle unstructured documents well, they cannot reason across different data sources, and they definitely cannot build new audit procedures from a natural language description.

The Big Four have internal AI initiatives, but they are slow-moving and focused on the largest engagements. Mid-tier firms like BDO, Grant Thornton, and RSM are stuck with the same manual processes and none of the R&D budget to fix them. That is a gap worth filling.

The Micro: Three Founders Who Trained Hundreds of Auditors

Moby Analytics was founded by Dimitri Kassubeck (CEO), Thomas Rapilly (CTO), and Clement Sengelen (Head of AI), out of Paris. Before starting Moby, the three of them ran a data analytics agency that trained hundreds of auditors on data and AI tools. They know this market from the inside because they spent years watching auditors struggle with the tools they had. They are part of Y Combinator’s Spring 2025 batch with Tom Blomfield as their group partner.

The product integrates directly with SharePoint, which is where most audit firms store their working papers. Moby syncs automatically without storing documents on its own servers, which is a smart design choice for an industry obsessed with data security. From there, auditors can build automated workflows using natural language. Describe what you want to test, point it at the data, and Moby constructs the procedure.

The Excel add-in is where the rubber meets the road. Auditors live in Excel. They are not going to switch to a new interface for their core work. Moby meets them where they are. The add-in lets you verify AI results with full source tracing directly in your existing worksheets. Every analysis is traceable and auditable, which is not optional in this profession.

The platform claims 80% time savings on detail testing, which is the most labor-intensive part of an audit. If that number holds, it fundamentally changes the economics of audit engagements. A procedure that took an associate two days could take two hours. That frees up capacity for higher-value work or lets firms take on more clients without hiring more staff.

Four-person team. Paris-based. SOC 2 Type 2 certified, GDPR compliant, running on Microsoft Azure European servers. They have clearly thought about the compliance requirements of selling to audit firms, which is half the battle in this market.

The Verdict

I am bullish on the market and the approach. Audit automation is a massive opportunity because the work is highly structured, follows documented methodologies, and involves enormous amounts of repetitive labor. That is exactly the profile of work that AI handles well. And the fact that Moby was built by people who spent years training auditors gives them an unfair advantage in understanding what the product actually needs to do.

The SharePoint integration and Excel add-in are the right calls. Audit firms are not going to adopt a new platform that replaces their existing tools. They will adopt something that makes their existing tools smarter. Moby seems to understand this deeply.

The competitive question is interesting. Caseware has been the dominant audit workflow platform for decades and has the distribution to reach every firm. If Caseware builds or acquires AI capabilities, Moby would be competing against a deeply entrenched incumbent. Same goes for Wolters Kluwer, which owns TeamMate and has significant resources.

The second question is whether mid-tier firms will actually buy. Audit firms are famously conservative buyers. They move slowly, they want references, and they need to be convinced that the AI output is defensible if a regulator asks questions. The traceability features help here, but the sales cycle could still be long.

Thirty days, I want to know how many firms are in pilot programs. Sixty days, whether those pilots convert to paid contracts. Ninety days, the big question: can Moby expand beyond detail testing into other audit phases like risk assessment, planning, and reporting? Detail testing is the beachhead, but the full audit workflow is the real prize. The team has the domain expertise to get there. Whether they can move fast enough before the incumbents wake up is the open question.