Visa and Replit Partner to Embed Payments in AI Development Tools
Visa and Replit have formed a partnership to bring payment capabilities into software development tools. The collaboration will allow developers to embed financial transactions directly into AI-powered applications. Both companies are also exploring ways for AI agents to handle payments securely on behalf of users.
Replit has also expanded its enterprise offerings with new self-serve options and a partner programme to accelerate AI adoption in large organisations. Replit is integrating Visa’s payment infrastructure into its development platform. The move gives developers access to Visa’s core payment tools while building AI agents. Over 1,000 Visa employees already use Replit for prototyping and development, showcasing the platform’s growing role in financial technology.
The partnership includes early testing of machine-to-machine payments, focusing on small, frequent transactions. Replit is also examining how its AI agents could join Visa’s Trusted Agent Protocol—a cryptographic system for real-time identity verification. This would allow agents to execute transactions securely on a user’s behalf.
Beyond payments, Replit has launched a Solution Partner Program with founding members Accenture, Slalom, and Hexaware. The initiative helps large companies adopt AI-driven software development at scale. Additionally, Replit now offers self-serve enterprise access, letting organisations purchase its platform directly for contracts up to $200,000 without sales involvement.
Replit’s customer base includes major firms like Atlassian, Adobe, Databricks, and Okta. The platform is used in 85% of Fortune 500 companies, highlighting its influence in enterprise software development. The Visa-Replit partnership aims to simplify payment integration for developers working on AI applications. Early tests of machine-to-machine transactions could streamline low-value, high-frequency payments. Meanwhile, Replit’s expanded enterprise tools and partner network signal a push to make AI-driven development more accessible to large organisations.
