Screening DPIA
Nature of the project, data, people, technologies, scale, monitoring and level of risk.
RCMRCM qualifies the risks before launching projects and trains each team on the decisions they will actually have to make.
The screening determines whether an in-depth analysis is necessary. The training then transforms the rules into reflexes adapted to the real responsibilities of management, HR, marketing, IT or support.
Nature of the project, data, people, technologies, scale, monitoring and level of risk.
Description, necessity, proportionality, risks, measures, advice and residual risk.
Business cases, expected decisions, warning signals, support and practical questions.
Request for rights or incident, timeline, decisions, communication and feedback.
Each intervention leaves a documented decision and assigned actions.
Project, processing activities, people, systems, dependencies and expected decisions.
Screening, analysis, impact scenarios and measurements already present.
Proportionate, responsible measures, expected proof and residual risk.
Cases adapted to the role, exercise, debrief and points to reinforce.
This offer complements operational desks and external DPO.
Questionnaire, interview, DPIA qualification and initial recommendations.
Fixed price · after scopingStructured analysis, workshops, scenarios, measurements and decision file.
From — on estimateSession adapted to the role, support, exercise and synthesis of actions.
From — on estimateRCM can analyze the processing of personal data integrated into an AI project: sources, purposes, information, minimization, rights, suppliers and risks. This intervention does not constitute a general offer of compliance with the AI Act.
Describe the project, the audience to be trained and the situation you want to test.
Scoping the intervention →