Consent & Boundaries
Consent path, purposes, prohibited uses, limits, export, reset and person-level control.
Digital Twin HR
Privacy-first AI / People Development
A personal, non-diagnostic and correctable digital twin that helps people, coaches and HR teams turn needs, patterns and contexts into concrete support.
Each person completes a guided path: the system generates useful hypotheses, evidence, confidence and a Twin Memory Card to adapt learning, communication and AI assistants.
Companies invest in training and wellbeing, but often work with static profiles, isolated surveys and insights that are hard to use on Monday morning.
Digital Twin HR creates a personal layer between the person, HR paths and their own AI copilot: it does not classify, diagnose or decide on people.
The twin produces probabilistic hypotheses with evidence, counter-evidence, context and confidence. The person can correct, reject, export or delete their profile.
PROBLEMS
The problem it solves
Assessments, coaching, training and wellbeing often remain separate, static and hard to act on.
HR reports that describe traits but do not suggest micro-actions, tone, boundaries and support modes.
Learning and coaching paths that adapt poorly to energy, context, motivation and stress.
Sensitive personal data handled without enough control, transparency or minimization.
Generic AI assistants that do not know the person's needs, values, patterns and preferences.
PROCESS
How it works
A modular path that starts from consent and boundaries, gathers voluntary signals and generates a non-diagnostic operational profile.
Consent and boundaries
Explains purposes, limits, allowed uses, prohibited uses, privacy and the right to edit or delete.
Adaptive scan
Questionnaires, scenarios, micro-choices, journal and observable feedback are collected only with consent.
Patterns and confidence
The system reads traits, guiding needs, values, strengths, archetypes and systemic loops with evidence and limits.
Correctable report
The person sees useful hypotheses, can edit or reject them and keeps agency over their own twin.
Twin Memory Card
Produces a protocol for AI assistants, coaches or L&D paths: how to communicate, motivate and support.
Updates over time
Journal entries and new evidence improve context and stability without turning the profile into a fixed identity.
CORE MODULES
Core modules
Trait & Needs Map
Maps traits, guiding needs, values and strengths with score, confidence and context of validity.
Archetype Portfolio
Narrative patterns in resource and shadow mode, useful for coaching and development conversations.
Systemic Loop Map
Triggers, need, action, others' response and micro-interventions to interrupt costly cycles.
Twin Memory Card
A copyable card for a personal AI assistant, covering tone, priorities and support in critical moments.
Local AI Mode
Rules-only mode, local Ollama or optional WebLLM, avoiding unauthorized transfer of sensitive data.
USE CASES
Main use cases
Start from support for the person, then extend only with consent to coaching, learning and team development.
Individual coaching and pre-session workLearning personalizationConscious onboardingLeadership developmentWellbeing and overload preventionPersonal AI assistantJournal and micro-interventionsTeam enablement with voluntary sharing
Individual coaching and pre-session work
Learning personalization
Conscious onboarding
Leadership development
Wellbeing and overload prevention
Personal AI assistant
Journal and micro-interventions
Team enablement with voluntary sharing
PILOT METRICS
KPIs to measure in the pilot
Scan completion
Perceived usefulness of the report
Number of user corrections
Twin Memory Card usage
Progress on micro-interventions
Coaching and L&D satisfaction