Regulation
EU AI Act
Risk, obligations, transparency, deployers and practical responsibilities for companies.
AI training, governance and method
AI adoption that companies can actually control.
AI Academy Italia helps SMEs, teams and management use artificial intelligence with practical skills, clear internal rules and a roadmap aligned with the EU AI Act.
AI literacyAI register30/90/180 roadmap
Governancepolicy, roles, controls
EU AI Actrisk and transparency
Trainingteams, managers, tech
operational phases
roadmap days
Privacy-firstno profiling cookies
Three entry points
A training website built around an operational method.
The main pages guide visitors from the problem to the risk, then to an actionable plan for integrating AI into the organisation.
Training
Training method
Tailored paths for business users, managers, sensitive departments and technical profiles.
Company
Ergoware Ltd
The technology and consulting layer: AI development, agents, RAG, automation and private AI.
Why now
From spontaneous AI use to governed adoption.
Many companies already use ChatGPT, Copilot, Gemini, Claude, chatbots, AI-enabled CRMs or automation. The issue is not the tool itself: it is the lack of rules, training and control over the data being uploaded.
AssessmentAI registerRisk classificationInternal policyAI literacyRoadmap
Map real usage
Tools, departments, processes, data, providers and outputs.
Classify risks and priorities
Ordinary use, transparency, possible high risk or cases to stop.
Train people
Reduce errors, blind trust and improper data uploads.
Services
Solutions for SMEs and companies.
AI literacy
Culture, limits, good practices and responsible use of generative tools.
Internal AI policy
A concrete company policy: what is allowed, what is not, who authorises and how to document.
AI assessment
A snapshot of tools in use, risks and areas to supervise.
Operational roadmap
Immediate actions, 30/90/180-day priorities, responsibilities and documentation.
Private / on-premise AI
Technical evaluation for confidential data, RAG, knowledge bases and controlled environments.
Team workshops
Practical sessions for marketing, administration, HR, sales, customer care and management.
AI governance
AI register, risk classification, human oversight, transparency and auditability.
Agents and automation
From training to advanced use: assistants, workflows, prompt libraries and AI prototypes.
Quick diagnosis
How governed is your AI today?
Select one or more situations already present in your company. The result updates automatically and does not replace an assessment.
Interactive checklist0 situations selected out of 4
Suggested output: select one or more situations to receive an initial indication.View method
Resources
Downloadable PDFs and deep-dive pages.
PDF
AI Act Compliance Starter Kit
Commercial brochure of the path: assessment, AI register, internal policy, training and roadmap.
Download PDFPDF
EU AI Act, cloud and on-premise AI
Overview on governance, data, risk and architectural choices.
Download PDFFAQ
Frequently asked questions.
Answers to the questions companies usually ask before introducing AI training and governance.
Yes. The path can start with a basic level for business users and continue with intermediate modules for teams that need structured use of AI in daily workflows.
It is practical. We work on emails, documents, data analysis, reports, content production, customer care, internal procedures and real departmental cases.
No. We can work with ChatGPT, Gemini, Copilot, Claude and other tools. The goal is not one button, but a transferable operating method.
Yes. The training is designed for business users, managers, administration, HR, sales, marketing and customer care.
Yes. For management we focus on risk, opportunity, internal policy, responsibilities, tool selection and organisational impact.
Yes. The path can include an internal AI policy, checklists, training records, supplier assessment sheets, transparency notices and an operational roadmap.
Yes. We cover AI literacy, risk classification, transparency, possible high-risk uses, governance and documentation in practical terms.
No. It depends on data, processes and risk. It can be useful when documents, databases or logs need to remain under stronger company control.
Yes. Beyond tool training, we can work on agents, automation, RAG over company documents and application prototypes.
Yes. The first call helps understand tools already in use, goals, departments, starting level and priorities.
Contact
Tell us what is happening inside your company.
A useful path starts from the tools already used, the teams involved, the data processed and the business objectives.