Anti-Slavery Intelligence

Lancaster University

Who would you like to contact?

  • Mahmoud Gad
    Academic
    m.gad1@lancaster.ac.uk

  • Steven Young
    Academic
    s.young@lancaster.ac.uk

  • Problem

    Modern slavery affects around 50 million people worldwide. In the UK, large companies (≥£36m turnover) must publish annual modern slavery statements, but the quality and consistency of these reports vary widely, making effective oversight difficult. Manual review at scale is slow, costly, and inconsistent, which limits the ability of investors, civil society, regulators and companies themselves to identify risks and drive improvement.

    Solution

    Anti-Slavery Intelligence is an AI-powered platform that automatically analyses corporate modern slavery statements, producing transparent compliance scores, benchmarking, and practical recommendations for improvement. The tool converts a manual, months-long process into minutes, enabling portfolio-scale analysis for investors, standardized evaluation for regulators and CSOs, and immediate feedback for companies seeking to strengthen their reporting and practices.

    Sustainable Development Goals addressed

    Some facts:

    • In practice, high-quality statements should explain governance accountability, supply-chain risk assessment, due-diligence processes, training, effectiveness indicators, and responses when cases are found. Studies show that many disclosures remain incomplete, boilerplate, or disconnected from risk management practices [BHRRC, 2016; Nersessian and Pachamanova, 2022; Mai et al., 2023].
    • Forced labour and trafficking risks arise in real supply chains, especially where outsourced, temporary, or migrant work obscures accountability and workers face coercive practices such as recruitment-fee debt or passport retention [ILO et al., 2022; CCLA, 2024]. These harms make statement quality consequential, because weak disclosures can hide whether firms are finding cases, remedying affected workers, and preventing recurrence [CCLA, 2024].
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