Deployment
An adaptable architecture.
QONITIF can be presented through several scenarios: secure SaaS interface, dedicated instance, sovereign cloud, client environment or hybrid architecture depending on field constraints.
QONITIF
Deployment · data · guardrails
A system is useful only if it remains controllable.
QONITIF is designed to adapt to sensitive environments. Sovereign hosting, dedicated instance, retention policies, anonymisation, encryption, access control, logs, client deployment or private cloud: the framework must be defined according to context, data sensitivity and organisational constraints.
Data
Explicit rules.
Documents, transcripts, analysis elements, deliverables and usage logs must be governed by clear policies: access, retention period, deletion, export and audit.
Responsibility
The professional keeps the decision.
QONITIF does not conclude for the human. It structures hypotheses, flags attention zones and proposes recommendations that must remain discussable and verifiable.
Deployment principles
The same product should not impose the same framework on every environment. A fraud team, inquiry unit, public body or sensitive organisation will not have the same security, access, retention or integration requirements. QONITIF must therefore be framed before any pilot.
Dedicated instanceSeparate environments and data by organisation or pilot scope.
Sovereign or private hostingAdapt the infrastructure to sovereignty, compliance and confidentiality requirements.
Access controlDefine authorised profiles, rights by file and consultation rules.
LoggingKeep useful traces to understand usage, deliverables and recommendations produced.
Data, audio and retention
QONITIF may process several types of information: case documents, statements, live transcript, interview metadata, attention zones, recommendations, debrief and exports. Retention rules should never be implicit: they must be defined with the user organisation.
Audio.
Audio may be used for transcription, speaker identification and certain analyses during the exchange. Its storage, retention period or deletion must be explicitly configured.
Audio may be used for transcription, speaker identification and certain analyses during the exchange. Its storage, retention period or deletion must be explicitly configured.
Transcript.
The transcript is a working memory. It may be retained, exported or limited depending on the defined framework.
The transcript is a working memory. It may be retained, exported or limited depending on the defined framework.
Uploaded documents.
Case documents must remain compartmentalised, traceable and accessible only to authorised profiles.
Case documents must remain compartmentalised, traceable and accessible only to authorised profiles.
Deliverables.
Debriefs, recommendations and exports must allow a reasoned reading without replacing the professional decision.
Debriefs, recommendations and exports must allow a reasoned reading without replacing the professional decision.
Methodological guardrails
No verdict
No lie score.
QONITIF does not produce a sincerity, guilt or fraud verdict. It helps test the strength of an account through preparation, follow-up and debriefing.
Explainability
Recommendations that can be questioned.
A flagged area must be discussable: why is this point sensitive, what hypothesis is open, what verification is proposed?
Proportion
Assistance adapted to context.
The intensity of assistance must be adjusted to case sensitivity, the status of the person heard and the legal or professional framework.
Human in control
The system supports; it does not command.
The professional remains responsible for questions asked, decisions made, checks carried out and the final qualification of the case.
Points to frame before a pilot
Before any experiment, teams must clarify the precise scope: data processed, role of audio, hosting model, integration with existing tools, retention, exports, authorised profiles, auditability, methodological limits and user acceptability conditions.
1 · UseWhich interviews, which cases, which professionals, what level of assistance?
2 · DataWhat is imported, analysed, retained, exported or deleted?
3 · SecurityWhere is the instance hosted, who accesses it, how are accesses logged?
4 · DeliverablesWhat debrief formats, what recommendations, what operational value?
Trust is designed before the demo.
In sensitive contexts, efficiency is not enough. Data framework, system limits and the role of human judgement must be made explicit from the start.