Built for risk, compliance and governance teams, Risk is the early detection of incidents, allegations, failures or behaviours that expose an organisation to regulatory, financial, legal or reputational harm.
Risk as a priority signal
Risk is one of DataEQ’s priority labels.
Alongside Service, Purchase, and Cancel labels, Risk is applied to conversations that require immediate attention or escalation. These priority labels sit above descriptive analysis, ensuring critical signals are surfaced, routed, and acted on without delay.
When used within DataEQ’s Engage platform, Risk-tagged conversations automatically trigger priority workflows, pushing them to the top of service queues so they are not delayed behind general customer service noise.
While other labels explain what is being discussed, priority labels determine what must be addressed immediately.
Why risk is different
Risk has no tolerance for missed signals.
A single undetected fraud allegation, service outage escalation, or threat of regulatory action can trigger disproportionate impact. In this context, mostly right is not good enough.
Generic sentiment models and off-the-shelf LLM outputs are optimised for averages and hindsight. DataEQ’s risk labelling approach allows teams to be pro-active and reduce negative impact.
Risk teams require:
Real-time detection
High precision on edge cases
Explainable, auditable decisions
Confidence that critical signals are not accidentally missed
Anatomy of Risk labelling
A single post becomes a multi-signal, traceable risk event, ready for escalation, intervention, and governance reporting.
Key benefits
Early identification of operational and reputational risk
Industry-aligned risk categorisation
Structured escalation signals for alerts and workflows
Governance-ready outputs suitable for audit and regulators
How the Risk label is structured
Risk identification
Determines whether a mention represents a material risk signal, rather than general dissatisfaction.
Online meetings
Classifies exposure using industry-specific risk categories
Risk sub-topics
Adds depth where required, supporting root-cause analysis and trend monitoring on key risk areas
Risk monitoring and alerts
Detect emerging risk early, and act before impact escalates
DataEQ continuously monitors unstructured feedback across channels to identify emerging risk signals in real-time. When defined thresholds are met, alerts are triggered automatically, enabling early intervention before issues escalate into incidents that bring regulatory exposure or reputational damage.
Risk teams are no longer reliant on lagging indicators or manual review. Risk conversation is actively monitored and structured as it emerges.
This approach to structured risk monitoring enables:
Real-time alerts
Early intervention before escalation
Consistent escalation logic across teams
Audit-ready oversight of detection and response
Built for risk and compliance teams
The Risk label integrates directly into:
Risk dashboards and executive reporting
Real-time alerting and escalation workflows
Incident and issue management processes
Operational vs reputational risk analysis
This approach to structured risk monitoring enables:
Real-time alerts
Early intervention before escalation
Consistent escalation logic across teams
Audit-ready oversight of detection and response
The DataEQ difference
Risk labelling is delivered through the EQ Engine, combining:
Risk that isn't surfaced early becomes risk that's managed too late
