Implementing Wequity typically follows a structured four-step journey. First, users register and upload their standard questionnaire templates or use the browser extension for web-based forms. Second, the AI examines the questionnaire and suggests which existing internal documents (PDFs, policies, previous reports) should be uploaded to build the knowledge base. Third, the AI engine processes the documents and 'pre-fills' the questionnaire, providing a draft for every field. Finally, a human expert reviews the AI-generated answers, using the built-in links to source documents to verify accuracy. For most clients, the initial setup takes less than a few days, and the platform can be used immediately after the first document batch is uploaded.
Wequity offers deep customization through its 'AI Specialists' feature. Users can select from existing specialists trained on global legislation (like CSRD or GDPR) or create their own proprietary agents. These custom agents are trained on a company’s internal expertise, historical RFP responses, and specific internal policies. This ensures that the AI's tone and factual knowledge are perfectly aligned with the company's established brand voice and technical standards. Additionally, the platform supports custom questionnaire templates, allowing teams to automate even highly niche or industry-specific disclosure requests that don't follow standard frameworks.
Beyond the base subscription tiers, there are generally no hidden fees for standard use. However, the 'Enterprise' plan and 'Wequity Consulting' services involve custom pricing for bespoke pilot programs, dedicated integration support, and expert-led strategy workshops. Costs are primarily driven by volume; if a user exceeds their monthly question limit in a subscription tier, they may need to upgrade to a higher tier or pay a per-question overage fee. Hosting options can also be customized, and specific high-security on-premise or private cloud deployments may incur additional setup and maintenance charges.
Wequity provides a range of training resources to ensure successful adoption. This includes a comprehensive online knowledge base, role-based training sessions for different team functions (Legal, Sustainability, IT), and accredited courses for continued professional development. For enterprise clients, the company offers 'white-glove' onboarding where in-house experts help refine the knowledge base and optimize AI responses for the first several disclosures. Their 'Consulting' arm also hosts half-day strategy workshops designed to surface quick-win use cases and educate leadership on AI governance and risk management.
Security is a top priority for Wequity, especially given the high-stakes nature of the legal and compliance data it handles. The platform is GDPR compliant and adheres to ISO 27001 standards. All data is encrypted both at rest and in transit using industry-standard protocols. Wequity maintains separate production and development environments, with development teams only having access to dummy data. The 'Explainable AI' feature itself is a security measure, ensuring that no AI 'black box' output is taken at face value without a verifiable source. They also offer a variety of hosting options, including dedicated cloud environments for organizations with strict data residency requirements.
Wequity follows a continuous deployment model, with regular updates to its AI engine and UI. Since its formal product launch in February 2024, the company has released several major updates, including the browser extension and CSRD gap analysis module. They maintain a public 'Status' page where users can track system uptime and see a changelog of recent improvements. The platform is designed to adapt instantly to new regulatory changes; as soon as a framework like the CSRD is updated, Wequity's specialized AI models are retrained to reflect the latest reporting requirements and best practices.
Wequity maintains a clear policy that the client owns all data uploaded to the platform. The documents and responses generated are the intellectual property of the organization. Users have the right to export their data at any time in various formats, including Excel and machine-readable JSON. Wequity does not use sensitive client data to train its public global models without explicit permission; custom specialists are trained in siloed environments to ensure that proprietary company knowledge stays within the organization's tenant. This commitment to data portability and ownership is a cornerstone of their Trust Center policies.
The platform is built on a scalable AI agent infrastructure designed to grow with the user. Starting with the 'Light' plan for small teams, the system can scale to the 'Enterprise' level capable of processing over 3,500 data points per month and managing knowledge bases larger than 500MB. Because the AI learns from every validated response, the platform actually becomes more efficient as the organization grows, accumulating a richer library of historical data to pull from. For massive corporations, Wequity supports multi-departmental rollouts with granular access controls to manage data across different subsidiaries or business units.
Wequity offers both monthly and annual subscription terms. Annual contracts provide significant discounts (e.g., the Simple Plan is ~10% cheaper per month when paid annually). Standard terms include clear SLAs (Service Level Agreements) regarding uptime and data security. Contracts can be renewed annually, and the company provides a transparent cancellation policy. For the 'Pay-as-you-go' tier, there are no long-term commitments, providing maximum flexibility for users with highly irregular reporting cycles. Enterprise agreements can be customized to include specific legal and procurement requirements of the purchasing organization.
Wequity is fundamentally a compliance-enablement tool. It specifically helps organizations comply with the European Corporate Sustainability Reporting Directive (CSRD), the Sustainable Finance Disclosure Regulation (SFDR), the Carbon Disclosure Project (CDP), and the Global Reporting Initiative (GRI). The software itself is hosted on GDPR-compliant infrastructure and the company is in the process of/has achieved ISO 27001 certification. They also prioritize environmental compliance through their 'Green AI' policy, which ensures their computational needs are met by sustainable energy sources, aligning their operational compliance with their mission to support global sustainability.
