May 2025 Summaries

In the first quarter of 2025, Finch implemented significant updates aimed at enhancing platform stability, expanding ecosystem connectivity, and growing its impact within the retirement industry. The company saw a 40% increase in active employees connected through its platform and focused on maintaining system reliability by upgrading the connection experience with new features like progress indicators and error resolution. Finch also improved the longevity of connections by expanding coverage of required permissions while adhering to the principle of least privilege. In the retirement sector, Finch continued to invest in automation and compliance, launching an expanded partnership with PensionPro and forming a new partnership with ASC to facilitate automated data collection for 401(k) administrators. New capabilities, such as Payroll Mapping and real-time ADP Run Deductions, were introduced to enhance the retirement-focused product offerings. Finch also expanded its ecosystem by migrating Justworks connections to OAuth for more secure integrations and adding coverage for ECCA and Innova Payroll. These efforts are part of Finch's broader mission to power an interconnected and transparent employment ecosystem, laying the groundwork for continued innovation throughout the year.

Payroll data is crucial for various HR, benefits, and fintech applications, but the lack of standardized data poses significant challenges, as each employer and payroll system uses unique naming conventions. Payroll mapping addresses this issue by standardizing raw pay statement data into categories understandable by applications, enabling accurate processing of earnings, deductions, and contributions. Finch offers a solution with its Payroll Mapping feature, which provides a library of standardized labels and allows third-party applications to map pay statement items seamlessly, reducing the operational burden. This solution benefits sectors such as 401(k) management, bookkeeping, and workforce analytics by ensuring compliance, enhancing data accuracy, and facilitating faster onboarding. Finch's approach not only simplifies integration and categorization processes but also lays the groundwork for a unified employment data layer across industries.

Model Context Protocol (MCP) is an emerging open standard developed by Anthropic, designed to enable large language models (LLMs) to interact seamlessly with external data sources, such as HR and payroll systems, through a structured interface. The Finch MCP Server, recently introduced, leverages this protocol to connect LLMs with employer data provided by Finch's API, thereby facilitating new applications in employment tech. MCP functions as an interface layer that allows AI agents to understand and use available tools, enhancing automation and operational efficiency in complex, data-rich environments. Unlike traditional APIs that facilitate data exchange between software systems, MCP enables LLMs to autonomously access and process real-time data, thus unlocking sophisticated, AI-driven workflows in HR, payroll, and benefits administration. With its potential to automate repetitive tasks, provide real-time insights, and ensure compliance with data security protocols, MCP is poised to transform how developers build AI-powered applications in compliance-heavy sectors. However, organizations must carefully consider data security and compliance implications when integrating MCP, ensuring that employer data is accessed only with explicit consent and that LLMs are selected based on stringent usage policies.