How THREVO works
THREVO brings people, intelligent support, professional care and organisational intelligence together through one unified operating system.
Employees receive a private and connected wellbeing experience. Practitioners provide appropriate professional support. Managers and organisational leaders receive approved insights that help them understand and improve organisational resilience.
Every experience works together while maintaining clearly defined privacy and access boundaries.
Private journey
Employer-facing journey
The employee path stays personal until an approved aggregate passes the privacy gate.
One connected experience
THREVO connects daily employee experiences with personal insights, guided support, professional care and organisational intelligence.
Step 01
The organisation establishes its THREVO environment and enrols eligible employees.
The employee receives secure access to their personal THREVO experience.
Understanding the system
THREVO is built around four functional layers, supported by shared platform services and a mandatory privacy gate for employer-facing organisational reporting.
Capture and process permitted personal wellbeing inputs.
Permitted personal signals and normalised data for personal insight processing.
The employee journey
Employees interact with THREVO through a dedicated mobile application, with a PWA fallback.
01
A personal daily dashboard for the employee’s own wellbeing experience.
These are the named employee surfaces. The phone is an experience map, not a published production screenshot. Later-release items, including production video and the full programme library, are not shown as available.
Connected care
Employee need
Guided support
Practitioner discovery
Matching suggestions
Employee choice
Appointment booking
Care session
Outcome measures
Follow-up
Practitioner portal
A practitioner sees an authorised case and the information the employee has chosen to share. Other practitioners’ notes, and employer analytics, stay outside that boundary.
Intelligence with human oversight
THREVO uses its AI Wellness Companion to provide guided self-help and safety-aware triage while preserving a clear pathway to human support.
A generative model does not make a clinical diagnosis and does not replace emergency services. Additional companion languages are R2. A production LLM is R3.
Measuring organisational resilience
THREVO uses its Organisational Resilience Quotient and Employee Care Score framework to support structured organisational measurement.
Survey and eligible inputs
Assessment processing
Dimension calculations
Coverage and confidence
ORQ and ECS outputs
Approved organisational reporting
The organisational resilience assessment calculated using THREVO’s approved methodology. The headline score stays based on signals shared by the workforce.
A complementary employee care measure within the organisational intelligence framework.
Structured survey inputs. This is the R1 assessment path.
Survey information combined with eligible additional signals. This mode is part of the R2 scope.
Eligible biometric enrichment only after written legal approval, appropriate consent and bias correction. It is not a default.
The full-product direction is eight dimensions. R1 supports six, and D7 and D8 need sign-off before they are treated as in scope. Names, weights and formulas stay in the versioned methodology. Coverage and confidence sit beside the headline score. They are not the score itself. Wearable readings do not enter employer-facing ORQ by default.
Privacy by design
THREVO separates individual wellbeing experiences from organisational reporting through structural privacy controls.
Employee private data
Random employee token
Isolated identity-to-token vault
Purpose-specific consent check
Anonymisation gate
Aggregation and suppression
Approved organisational insights
Own personal information, consent, own case files and selected support resources.
One identity may carry more than one role. Switching roles moves the person into a separate application shell, with a separate API access boundary.
Engineered as one system
THREVO is specified as a modular monolith with 22 canonical NestJS modules, supported by a Python FastAPI service for scoring and machine learning.
Every module has a defined responsibility and a controlled interface. External infrastructure sits behind ports, so an implementation can be replaced without changing the calling module. R3 is the stage for production substitutions. This diagram is the specified architecture. It is not a statement that every service is already running in production.
From foundation to official launch
The same interface contracts and tests are used when Part A adapters are replaced by Part B production services. R2 and R3 items below are planned. They are not deployed capabilities.
R1
Defined scopeR2
PlannedR3
PlannedTHREVO connects personal wellbeing, intelligent support, professional care and privacy-protected organisational intelligence in one unified ecosystem.
