AP approval workflow automation for cloud accounting platforms
ApprovalMax embeds approval controls into Xero, QuickBooks Online, and NetSuite workflows. The stack reveals a product-led growth motion under pressure: Amplitude + Intercom + Navattic for activation, paired with a data and analytics layer (Databricks, dbt, Power BI) suggesting they're analyzing and optimizing a leaky funnel. Recent hiring spans product, data, and sales across three continents, while the project list centers on activation experiments and an AI roadmap—indicating both product-market fit challenges (low trial-to-activation conversion, high drop-off post-registration) and a shift toward AI-assisted capabilities.
ApprovalMax provides accounts payable approval software for finance teams using cloud accounting platforms. The product sits between Xero, QuickBooks Online, or NetSuite and payment execution, enforcing approval workflows and documentation before funds move. Founded in 2016 and based in London, the company serves 20,000+ businesses. The engineering footprint spans .NET, C#, Node.js, and TypeScript running on Azure infrastructure (App Service, Functions, Queue Storage), with PostgreSQL and SQL Server as backing stores. Data pipelines run on Databricks with dbt transformations.
Xero, QuickBooks Online, and Oracle NetSuite. The product sits between these platforms and payment execution to enforce approval workflows.
Backend: .NET, C#, Node.js, TypeScript on Azure (App Service, Functions, Queue Storage). Data: Databricks, dbt, PostgreSQL, SQL Server. Product: Amplitude, Intercom, Canny, Figma. Adopting: Cursor.
Trusted by 20,000+ businesses globally, according to the company.
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ApprovalMax's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.