How dss+360 works
A connected intelligence platform that brings together operational, behavioural and cultural data, transforming fragmented information into a clear, consistent view of risk.
dss+360 applies a structured intelligence model that transforms how risk is understood and prioritised across operations. Data from multiple sources is brought into a common framework, compared to industry benchmarks and analysed through a Safety & Risk Intelligence Engine. This is translated into role-specific insights and prioritised decisions. This creates a consistent flow from data to intelligence, insight and action, strengthening how organisations manage exposure and operational control at scale.
The Four Core Modules
Powered by Bradley.ai, dss+360’s AI agent for interpreting risk in context, these modules work together to guide prioritised decision-making across operations.
Identifies patterns in exposure and control performance, highlighting weak controls, failed barriers and recurring causes before they lead to serious incidents.
Clarifies how leadership practices influence exposure and control performance across teams and sites.
Highlights where behaviours and beliefs diverge from systems and leadership expectations, indicating where alignment is required.
Provides a consistent, organisation-wide view of performance, supporting prioritisation, tracking and oversight.
Three-Layer Architecture
Data Integration Layer: Consolidates inputs from EHS, HR, ERP, and asset systems (e.g. SAP, Oracle).
AI & Analytics Engine: Applies predictive models trained on prevention logic and global benchmarking data.
Action Enablement Layer: Translates insight into prioritised, trackable actions embedded in daily workflows.
Integration & Scalability
API-first design ensures seamless interoperability with existing systems, enabling quick pilots and enterprise-scale rollouts.
Security & Compliance
Built on enterprise-grade cloud infrastructure and compliant with ISO 27001, GDPR, and industry-specific security frameworks. Clients retain full ownership and control of data.
Governance & Oversight
Every model is monitored, validated, and continuously improved by dss+ subject-matter experts to ensure ethical, explainable, and trustworthy AI.