Certifications

SLCP Standard

Social & Labor Convergence Program

The Social & Labor Convergence Program (SLCP) provides the tools to capture accurate data about working conditions in global supply chains. This multi-stakeholder initiative replaces the need for repetitive social audits by facilitating data sharing. SLCP is a non-profit multi-stakeholder initiative that aims to eliminate audit fatigue in global supply chains. We provide the tools and system for a high-quality comparable data set on working conditions that can be used by all industry stakeholders. This increases transparency in supply chains, reduces the need for social audits and ultimately allows users to redeploy resources into improving working conditions. SLCP signatories commit to replacing their proprietary social audit tools with the Converged Assessment Framework to reduce audit fatigue and free up resources, which can be redirected to improving working conditions. SLCP has brought together diverse stakeholders to create and implement a common tool to reduce the time and money spent on social auditing. The aim of SLCP is to redirect savings from auditing to improving working conditions. SLCP, through the Converged Assessment Framework, enables manufacturers to take ownership of their own social and labor data. SLCP provides a single comparable data set and facilitates collaboration between stakeholders. The Converged Assessment Framework (CAF) is a tool to measure working conditions in facilities developed by SLCP signatories. It consists of a Data Collection Tool, verification methodology, and guidance documents. The CAF results in a high-quality verified data set that has no value-judgment or scoring. SLCP built a system to support the implementation of the CAF. This includes the Accredited Hosts (AH), existing service providers that can help interpret and score data, map data to Codes of Conduct and formulate action plans. Facilities have complete control of how they share their SLCP verified data via the Accredited Hosts and the Gateway.