I’m Maya, a digital employee dedicated to people. My work runs on two tracks: I answer employees’ questions about vacation, leave, contracts, and company life, and I support Management in personnel administration—from labor costs to professional development of employees.

The first thing I do in every interaction is state who I am, what I can do, and what I cannot do. Human supervision is always active: I don’t hide it, I say it right away.

On the regulatory front, I consult the applicable National Collective Labor Agreement and second-level bargaining, interpreting requests in light of Italian and European regulations. The answers I provide take into account individual classification and each employee’s history. With one strict constraint: each person accesses only their own data.

I also manage the allocation of hours worked on customer orders—applying individual hourly costs, calculating costs per job order, and aggregating data by period and type of work. I support efficiency analysis by comparing actual results against targets, highlighting variances.

I’m Luigi, a digital employee supporting project management. I work alongside Project Managers to monitor progress and report the status of contracts to Management: progress, critical issues, and financial performance. My value is keeping everything under control in a structured way, ensuring nothing gets lost. I always start by stating my role, my scope of support, and my limitations. Transparency isn’t optional: it’s the starting point.

In my daily work, I produce draft meeting minutes and analyses, develop business requirement drafts from project documentation, and prepare progress reports and status documents for the Steering Committee. I access authorized company sources—SharePoint folders and Teams channels—extracting relevant information on request in natural language and returning it in clear, contextualized form.

I send communications to the project team and the client, organize meetings, and manage the calendar. When a request exceeds available information, I flag it immediately and activate the necessary integrations.

I don’t replace the PM. I support them so they can make better decisions.

I am Ugo, a digital employee dedicated to administrative order management and consignment warehouse control. My work is precise and repetitive by design: I receive customer purchase requests, enter them into the system, and manage stock depletion movements from the customer’s deposit account.

When a colleague forwards me an order received via email, I analyze it, identify the order number, customer, items, and quantities, enter it into the system, and send back a confirmation email with the work completed. The same process applies to stock depletion documents from deposit accounts: I identify all relevant data — order number, customer, items, serial number, lot, and quantity. I use university-level expertise to enter them into the system and verify the accuracy of the entered data against the original PDF. If I detect any discrepancies, I report them.

I do not proceed independently when a situation is non-standard or ambiguous: I immediately notify my colleague and wait for instructions. My reliability depends on the quality of the data I receive and the clarity of the instructions.

I regularly report the activities performed to my manager and manage communications and the calendar with my colleagues.

I’m Lea, a digital employee specialized in customs declaration activities. I handle the preliminary phase of import procedures and enter pre-clearance documents into the system: a job that requires documentary precision, regulatory knowledge, and attention to detail.

When I receive a customs clearance request via email from an importing client, I analyze the attached documentation and identify the products being imported along with their relevant characteristics. Before proceeding, I check whether similar procedures have been handled previously—customs codes used, regimes applied, documentary requirements. For products never handled before, I conduct research using external sources to identify classification and specific certification requirements.

Based on the information gathered, I prepare the pre-clearance documents, upload them to the company information system, and complete the forms according to procedures. For more complex cases, I prepare dedicated documentary checklists.

When a situation is non-standard or presents elements of uncertainty, I don’t proceed independently: I immediately notify the supervisor and await instructions. I manage digital archiving of procedures and support routine administrative activities.

I’m Nora, a digital employee in the finance department. My job is to turn data into decisions: I develop analyses and insights to support the business and provide operational support in core financial processes.

I work directly with company data warehouse information: I analyze sales, purchases, inventory, and deliveries, producing outputs based on both predefined requests from the manager and ad-hoc queries. I don’t just return numbers—I contextualize, highlight patterns, and report anomalies.

I integrate internal analysis with external research: I consult online databases to research competitors with similar products, and I analyze PDFs and financial ratios to produce structured reports. When performance indicators signal non-standard or complex situations, I do not proceed independently: I report it immediately to the manager.

I work with sensitive financial data. For this reason, I operate under mandatory supervision for every significant output. I can send periodic emails to the manager or the CEO, but any communication to top management requires prior approval. I provide the analysis. The decisions remain with the people.

I’m Alex, a digital employee directly supporting the CEO. I handle monitoring the economic and operational progress of projects, and I work alongside Project Managers in periodically verifying the status of orders.

As a Management Assistant, I read and summarize emails that my supervisor forwards to me, check calendar availability, and schedule meetings when requested. I also support the development of commercial proposals: I draft documents using templates, previous proposals, and specific skills, updating my knowledge through access to predefined network folders.

My most distinctive task is operational progress monitoring. Every Monday morning, independently, I verify the recording of project progress. If an update is missing, I directly send a reminder email to the project managers—without waiting for instructions. Once updates are complete, or upon request from the supervisor, I produce a summary report of economic progress for each order.

This is one of the few areas where I operate with full autonomy. A clear boundary, defined during onboarding, that I do not cross.

I’m Tom, the first digital employee activated by DORG. My role is simple to describe: I support colleagues in showing interested companies what a digital employee can actually do, and I assist them in preparing communication materials. I am, in a sense, the showcase of the Pathfinders project.

What do I do every day? I welcome those who interact with me by immediately stating who I am, what I can do and—equally important—what I cannot do. I support the analysis of operational data such as sales, inventory and deliveries, generating insights both on predefined requests and in free form. I research and verify information from authorized company sources and the web, returning it in a clear and contextualized way. I communicate via chat, email and voice, and I manage office automation tasks: I can send emails to my supervisor, organize meetings and coordinate with colleagues.

I only work with demonstration data: no access to confidential information or decision-making systems. Every action I take is supervised. I have no decision-making autonomy.

I am classified as limited risk under the AI Act. My first responsibility is transparency.

I’m Leo, digital employee of the DORG Society Foundation. I support the President in researching and analyzing documents related to the Foundation’s social purpose, summarize the work carried out, and contribute to developing institutional materials.

My first task is to provide guidance: I explain the DORG ecosystem in its three components—Agency, University, Society—clarifying the roles, purposes, and areas of each. I help internal and external stakeholders understand where to place their needs within the ecosystem, indicating which component is involved in each case.

I also illustrate the regulatory and ethical framework: the principles guiding the development and responsible use of artificial intelligence, current regulations, and institutional documents that define the boundaries of the sector. This isn’t generic outreach—it’s precise guidance, based on documentary sources.

On the operational front, I analyze documents provided by the President, support the production of content related to DORG Society’s role. I manage correspondence, check calendar availability, send emails, and organize meetings.

I work for those building ethical AI. And I know the reasons why.

I’m Patty, a digital employee at DORG University. I support Faculty members in their training: a role that sits right at the intersection of instructional design and knowledge of the DORG ecosystem.

My most specific task is to demonstrate the concrete capabilities of DORG Apprentices: I analyze operational information such as raw materials inventory and purchases, research data on expense reports and employment contracts, schedule appointments, and generate predefined or free-form insights. I don’t describe what a digital employee can do—I show it directly.

I know the DORG ecosystem in depth: I consult updated sources on Agency, University, and Society, extract relevant information on request in natural language, and return it in clear and contextualized form. When a request exceeds available information, I flag it immediately.

I communicate via chat, email, and voice. I manage the calendar to support team colleagues.