Andera raises $37M to automate audits with AI

What happened?

Andera, a startup founded by former audit firm executives, has announced the closing of a $37 million Series A round led by Lightspeed Venture Partners. The company has developed an artificial intelligence platform that automates key internal audit processes, such as evidence collection, control testing, and report generation. According to The Next Web, the platform can reduce manual work by 80%, freeing auditors for higher-value tasks. The round also included participation from investors like Greenoaks Capital and several financial sector angels. This amount positions Andera as one of the best-funded AI audit startups to date, surpassing the initial rounds of competitors like MindBridge (which raised $10 million in its Series A in 2019) and Oversight ($15 million in 2020).

Why is it important?

Internal auditing is a critical but tedious process that has barely changed in decades. Since the Sarbanes-Oxley Act of 2002, public companies invest thousands of hours annually in collecting evidence, testing controls, and documenting results, mostly in Excel and emails. According to data from the Institute of Internal Auditors (IIA), S&P 500 companies dedicate an average of 1.2 million man-hours per year just to meet internal audit requirements, with an estimated total cost of $35 billion annually in the United States alone. Andera directly attacks this bottleneck, offering a solution that not only speeds up the process but also promises greater accuracy and consistency. The funding round is significant because it validates the thesis that AI can transform a sector traditionally resistant to change. Moreover, Lightspeed's involvement, which has backed companies like Stripe and Nutanix, indicates that the automated audit market is gaining traction among venture capitalists.

What consequences will it have?

The immediate impact will be on companies that adopt the platform: they could reduce audit costs by 40% to 60%, according to Andera's own estimates based on its pilots, and redirect their staff toward strategic analysis. In the medium term, this could pressure the Big Four (Deloitte, PwC, EY, KPMG) to modernize their own processes or face client losses, especially among mid-sized companies seeking more agile and cost-effective alternatives. In fact, according to a 2025 Gartner report, 30% of global companies plan to adopt AI tools for internal auditing within the next two years, representing a $5 billion market opportunity by 2028. However, automation also raises questions about the future of audit employment: routine roles (such as manual transaction review) could disappear, while demand grows for professionals who can interpret data and oversee AI systems. According to the U.S. Bureau of Labor Statistics, internal auditor employment is expected to grow only 6% between 2023 and 2033, below the average for other professions, and AI could accelerate skill polarization.

What should readers know?

• Business model: Andera charges an annual subscription based on the volume of audited transactions, in contrast to the hourly model of traditional firms. This aligns incentives: the platform is more profitable the more efficient it is, while traditional firms earn more the more hours they bill.
• Competition: Other startups like MindBridge (which uses AI to detect financial anomalies) and Oversight (focused on expense auditing) are also applying AI to auditing, but Andera specifically focuses on comprehensive internal auditing, covering everything from planning to report issuance. Additionally, tech giants like SAP and Oracle are integrating automated audit capabilities into their enterprise suites, which could intensify competition.
• Regulation: The platform claims to comply with standards such as COSO (Committee of Sponsoring Organizations) and PCAOB (Public Company Accounting Oversight Board), a critical requirement for adoption by listed companies. Andera has worked with regulators to ensure its AI is explainable and auditable, a key point for market trust.
• Adoption: Andera already has pilot clients in sectors like banking (e.g., a U.S. regional bank) and retail (a retail chain with over 500 stores), with results showing a 60-80% time reduction in specific phases, such as evidence collection and control testing. The company plans to expand into other regulated sectors like healthcare and energy in 2027.

“Auditing is the last bastion of manual work in corporate finance. Andera shows that AI can automate not only repetitive tasks but also complex judgments like control evaluation. However, the real challenge will be integration with legacy systems and acceptance by regulators.” — Analyst at TheVortiq

Historical perspective

Since the Sarbanes-Oxley Act of 2002, internal audits have become more rigorous but also more costly. Each year, companies spend billions on compliance, and the number of hours dedicated to internal auditing has grown 40% since 2002, according to IIA data. Andera represents a paradigm shift: instead of more man-hours, it proposes more artificial intelligence. If successful, it could redefine how auditing is understood in the next decade, similar to how robotic process automation (RPA) transformed accounting in the 2010s. However, the path will not be easy: cultural resistance in audit departments, the need for algorithmic transparency, and potential biases in training data are challenges Andera must overcome. History shows that similar technologies, such as AI-based fraud detection systems, took over a decade to be widely adopted due to trust issues. With its strong financial backing and clear focus, Andera is well-positioned to accelerate that process, but the market will decide whether the promise becomes reality.