Impacts & Stakeholders
Identification of stakeholders affected by the AI system and evaluation of ethical, social, legal, and environmental impacts generated by the project.
AI Consulting & ISO/IEC 42001 Standards
Artificial Intelligence Assessment & Consulting
Specialized consulting and Assessment services to analyze AI projects and systems through Project Assessment, AI System Impact Assessment (AISIA), and AI Risk Assessment (AIRA). A structured pathway according to applicable ISO Standard methodologies and terminologies to evaluate impacts, risks, data, security, and sustainability of AI projects.
✓ Certified Competencies for ISO/IEC 42001 Documentation
Qualified Competencies for the ISO/IEC 42001 Pathway
Officina Tecnologica combines methodological competence and technical experience in designing and integrating Enterprise AI systems. Activities are performed by professionals holding BSI (British Standards Institution) specialization and certification to prepare the documentation required for the ISO/IEC 42001 standard pathway, through structured Assessments on project, impacts, and risks.
Why Assessment is Essential
Evaluating an AI Project Means Understanding Its Impacts, Risks, and Sustainability
Adopting or developing an AI system requires an assessment that extends beyond technology. The Assessment defines Use Cases, identifies stakeholders, and analyzes ethical, social, legal, environmental, technological, and economic impacts before moving forward with design decisions.
Technological Risks & Security
Analysis of system reliability, robustness, and resilience, considering technical components, digital security, and potential criticalities.
Data & Infrastructure
Evaluation of hardware, software, AI models, data, documents, and key data management lifecycle activities.
Costs & Sustainability
Analysis of potential costs and expected ROI to evaluate project feasibility and economic sustainability.
Defining the AI Assessment
What is an Artificial Intelligence Assessment?
An AI Assessment is a structured process of gathering, analyzing, and evaluating information on an AI project or system. It defines the project via AIMS (AI Management System), analyzes impacts via AISIA, and evaluates risks and technical components via AIRA, following applicable ISO Standard methodologies and terminologies.
Key Analysis Areas:
- Definition of Use Cases, objectives, and available infrastructures
- Identification of stakeholders and ethical, social, legal, and environmental impacts
- Evaluation of Reliability, Robustness, and Resilience of the AI system
- Analysis of hardware, software, models, data, documents, and digital security
- Evaluation of data lifecycle, costs, ROI, and project sustainability
Operational Methodology
How the Artificial Intelligence Assessment is Conducted
A progressive process divided into three Assessments, followed by the possibility of evaluating system development scenarios based on findings.
1. Project Assessment – AIMS
Definition of relevant Use Cases, objectives, critical issues, and available infrastructure. Questionnaires, meetings, and data collection identify key stakeholders and Business Units, creating the roadmap for subsequent AISIA and AIRA activities.
2. AI System Impact Assessment – AISIA
Analysis of ethical, social, legal, and environmental impacts of the AI system and identification of affected stakeholders. AISIA also defines the project lifecycle and triggers requiring Assessment reviews.
3. AI Risk Assessment – AIRA
Analysis of technical, digital security, and legal aspects with Reliability, Robustness, and Resilience evaluations. AIRA considers infrastructure, software, models, data, and documents, along with potential issues, costs, and expected ROI.
4. Development Scenarios Evaluation
Following the Assessments, custom development scenarios can be evaluated based on findings. This phase is optional and non-binding: the organization can use consulting services exclusively or proceed with AI system implementation later.
Competencies for ISO/IEC 42001 Documentation
Why Choose Officina Tecnologica
Relying on certified professionals for ISO/IEC 42001 documentation allows Assessments to be carried out with structured methodologies, combining organizational evaluation with concrete technical AI expertise.
Methodological and Technical Expertise
Officina Tecnologica integrates Assessment skills with concrete experience in designing and integrating Enterprise AI systems, analyzing projects from both organizational and technological perspectives.
- Structured assessments covering project, impacts, and risks
- Deep technical expertise on AI architectures, RAG, LLMs, and integrated systems
- Methodologies based on reference ISO/IEC Standards
- Documentation, roadmaps, and actionable operational guidelines
FAQ
Frequently Asked Questions about AI Assessment
Who can perform an Artificial Intelligence Assessment?
Companies, organizations, Public Administrations, and Universities that are evaluating, designing, or using Artificial Intelligence systems and wish to analyze objectives, impacts, risks, technical components, and sustainability.
Why are ISO/IEC 42001 competencies important?
ISO/IEC 42001 defines a management system for Artificial Intelligence. Officina Tecnologica has certified professionals to prepare the documentation required for the Standard pathway, applying structured methodologies to Project Assessment, AISIA, and AIRA.
What is the difference between an AI Assessment and system development?
The Assessment analyzes and documents the project, its impacts, and related risks. Technical development is a subsequent and independent stage: custom implementation scenarios are evaluated only after Assessment completion, with no obligation for the organization.
How long does the Assessment process take?
Timing depends on project complexity and information availability. Documentation estimates approximately 30 working days per Assessment phase: Project Assessment, AISIA, and subsequently AIRA, depending also on client collaboration in data gathering.
Does the Assessment issue formal documentation?
Yes. The process produces structured documentation comprising Project Assessment/AIMS, AI System Impact Assessment (AISIA), and AI Risk Assessment (AIRA), containing collected data, analyses performed, and defined project roadmaps.