What does Decodeme do?

Decodeme is an AI communication intelligence platform that analyzes digital messages to detect tone, intent, irony, power dynamics, ambiguity, and hidden communication risk. It helps prevent burnout, conflict, and costly misunderstandings.

Is Decodeme designed for neurodivergent people?

Yes. Decodeme was built with neurodivergent minds in mind — particularly ADHD and autism. It helps decode sarcasm, implicit meaning, and social cues that can be challenging to interpret in text-based communication.

How does Decodeme protect my privacy?

Decodeme does not store your messages after analysis. All communication data is processed in real-time and discarded. We use end-to-end encryption and never share your data with third parties.

Can enterprises use Decodeme?

Yes. Decodeme offers enterprise plans with team dashboards, organizational communication health metrics, SSO integration, and dedicated support for building psychologically safe communication cultures.

What is psychosocial risk in the workplace?

Psychosocial risk refers to work-related factors that can harm employees' mental and cognitive health — including chronic stress, burnout, interpersonal conflict, communication breakdown, harassment, and organizational instability. The World Health Organization and the ILO recognize psychosocial risk as one of the most significant emerging occupational health challenges globally.

How can communication patterns reveal psychosocial risk?

Communication patterns are among the earliest and most reliable signals of psychosocial deterioration. Behavioral drift (tonal changes over time), increasing ambiguity, passive-aggressive markers, communication avoidance, and declining message quality are all detectable through AI analysis — often weeks before formal symptoms appear in engagement surveys or HR reports.

What is the difference between burnout monitoring and psychosocial risk monitoring?

Burnout monitoring typically tracks self-reported symptoms after deterioration has begun. Psychosocial risk monitoring is proactive — it detects the organizational and communication conditions that generate burnout risk before individuals reach crisis. Decodeme monitors the communication environment, not individual mental state.

Is monitoring communication patterns an invasion of employee privacy?

No — when done correctly. Decodeme uses end-to-end encryption, anonymized organizational-level analysis, and explicit employee consent. Individual messages are never stored or exposed beyond the analysis session. The platform generates aggregate risk signals and department-level insights, not individual surveillance.

Which regulations require psychosocial risk monitoring?

Brazil's NR-1 (Portaria MTE nº 1.419/2024) explicitly requires psychosocial risk assessment and documentation in the PGR. The EU's Framework Directive on Safety and Health also covers psychosocial risk. Several countries including France, the UK, and Australia have formal guidance on psychosocial hazard management. Proactive monitoring reduces liability across all jurisdictions.

Psychosocial Risk

Detect Psychosocial Risk Before It Escalates

Communication patterns are the earliest signal of psychosocial deterioration. Decodeme monitors those patterns — continuously, anonymously, and with enterprise-grade privacy — enabling prevention weeks before formal symptoms appear.

Why communication is the right place to look

Traditional psychosocial risk assessment relies on periodic surveys — self-reported, low frequency, and often answered strategically. By the time a survey captures a problem, the damage is already done.

Communication patterns are behavioral, continuous, and honest. They reveal what people actually experience — not what they choose to report. And they change measurably weeks before burnout, conflict, or absenteeism manifests.

Behavioral data, not self-reported data

Continuous signal, not periodic snapshot

Early detection — 4–8 weeks before formal symptoms

Anonymous by design — protects individuals while monitoring patterns

Traditional survey approach

Quarterly engagement survey

Problem reported → HR review → intervention plan → execution. Timeline: 6–16 weeks after damage occurred.

Communication Intelligence approach

Continuous pattern monitoring

Early signal detected → alert generated → manager reviews → proactive conversation → prevention. Timeline: 4–8 weeks before visible symptoms.

Four psychosocial risk signals Decodeme monitors

Each signal represents a different stage in psychosocial deterioration — all detectable through communication pattern analysis before clinical symptoms appear.

Early signal

Behavioral Drift

Gradual changes in tone, empathy, and communication style over weeks — the most reliable early warning before visible burnout or conflict.

Mid-stage signal

Communication Avoidance

Declining message frequency, delayed responses, and minimal acknowledgments — patterns associated with disengagement and relationship deterioration.

Escalation signal

Passive-Aggressive Markers

Irony, sarcasm, backhanded acknowledgment, and martyrdom language — indicators of accumulated frustration in team communication.

Health risk signal

Cognitive Overload Patterns

Increased ambiguity, fragmented messages, and clarification loops — signs of cognitive fatigue from sustained communication friction.

A complete prevention cycle

Psychosocial risk management is not a one-time assessment. It requires continuous monitoring across the full organizational lifecycle.

Before

Prevention

Establish baseline communication health across teams. Monitor Behavioral Drift Index. Configure alerts for early-stage risk patterns.

Organizational Health Dashboard
Behavioral Drift Index (BDI)
Proactive Alerts

During

Detection

Real-time analysis of communication patterns. Shield Mode protection for individuals receiving emotionally charged messages. Manager alerts on emerging team risk.

Communication Risk Analysis
Shield Mode
Manager Alerts

After

Documentation

Generate audit-ready documentation for compliance (NR-1, GDPR, LGPD). Track intervention effectiveness. Build organizational learning from risk episodes.

PGR Documentation
Audit Trail
Action Plan Tracking

Organizations that need psychosocial risk monitoring

Organizations in Brazil

NR-1 (Portaria MTE nº 1.419/2024) mandates psychosocial risk monitoring in the PGR. Decodeme provides continuous monitoring with LGPD-compliant documentation.

Learn about NR-1 compliance

Distributed & Multicultural Teams

Remote and multicultural teams face amplified psychosocial risk from communication friction. 65–93% of non-verbal meaning is lost in digital text, creating a chronic risk environment.

See enterprise solutions

High-Turnover Organizations

Turnover driven by communication breakdown is often preventable. Detecting psychosocial risk signals 6–8 weeks before resignation dramatically changes intervention outcomes.

See use cases

Healthcare & High-Stress Industries

Healthcare, legal, finance, and logistics teams face structural psychosocial risk from workload, hierarchy, and decision pressure. Communication Intelligence provides a non-clinical monitoring layer.

HIPAA-ready enterprise

Privacy by Design

Monitoring without surveillance

Psychosocial risk monitoring must protect the people it serves. Every Decodeme feature is built on this principle.

Individual messages never stored beyond the active session

Organizational insights generated from anonymized patterns, not individual surveillance

Explicit employee consent required for all psychosocial monitoring

End-to-end encryption (TLS 1.3 + AES-256) for all data

Zero AI training on user communication data

Full GDPR, CCPA, and LGPD compliance with documented legal basis

Read full Privacy Policy

Frequently Asked Questions

What is psychosocial risk monitoring?

Psychosocial risk monitoring is the continuous process of detecting, measuring, and documenting workplace factors that may harm employees' mental and cognitive health — including burnout, chronic stress, interpersonal conflict, and communication breakdown. Communication-based monitoring detects these signals earlier than any self-reported tool.

How early can communication patterns detect burnout risk?

Research in organizational behavior suggests that behavioral drift in communication — tonal changes, disengagement markers, and increasing ambiguity — typically precedes formal burnout symptoms by 4–8 weeks. Early detection in this window allows preventive intervention before clinical or legal escalation.

Does Decodeme replace occupational health professionals?

No. Decodeme provides communication pattern intelligence as a monitoring and early warning tool. It does not replace clinical assessment by occupational psychologists, work physicians, or HR professionals. Decodeme is designed to surface risk signals that trigger human review and intervention.

Which privacy framework does Decodeme comply with?

Decodeme is designed for GDPR (EU), CCPA (US), and LGPD (Brazil). For psychosocial monitoring, the legal basis is documented under legitimate interests and legal obligation (for NR-1 contexts). All processing is ephemeral, encrypted, and subject to employee consent and data subject rights.

Start detecting psychosocial risk before it escalates

Communication Intelligence gives you the visibility to act before burnout, conflict, or regulatory risk arrives.