XERIVONLABS® is an AI-driven workforce and risk intelligence platform designed for UK adult social care providers. It supports safer, more sustainable and well-governed operations through predictive analytics, optimisation and documentation intelligence.
Founded by Miss Rizwana (MBA, MSc Mathematics) with UK adult social care experience, combining commercial leadership, modelling capability and sector understanding.
XERIVONLABS® is built from direct operational understanding of adult social care pressures — including staffing stability, continuity-of-care, documentation quality, and inspection readiness.
The platform combines sector knowledge with quantitative modelling so recommendations are practical, explainable, and aligned to real-world constraints.
Built around real operational workflows, reducing administrative burden while improving staffing stability and oversight.
XERIVONLABS® prioritises usability for care managers and operational leaders — not technical complexity. Insights are designed to support everyday decisions such as rota planning, continuity-of-care, and risk early warning.
The goal is to reduce time spent on manual reporting and reactive firefighting while strengthening consistency and governance.
Designed to support evidence generation and inspection readiness, aligned with the CQC Single Assessment Framework.
Governance and auditability are first-class design principles. Outputs are structured to help providers demonstrate oversight, learning, and action — not just surface-level metrics.
This supports inspection preparedness by making it easier to evidence risk management, workforce stability, and documentation quality in a consistent way.
Human-in-the-loop decision support, clear audit trails, and GDPR-minded design principles.
XERIVONLABS® is designed as decision support — not automated decision-making. Professional judgement remains with the provider, and outputs are intended to be explainable and reviewable by operational leaders.
The platform is built with proportionality, transparency, and accountability in mind — supporting safer adoption in regulated environments.