AI Projects

AI case studies: from idea to operational impact.

Recent work where QualiValue turned complex needs into adoption programs, operational platforms, training initiatives, and tools based on Artificial Intelligence.

Featured case studies

Agentic AI · Consumer protection

10th ADOC National Assembly Rome, 13–14 October 2026

AI Triage: people and AI agents working for consumers

At ADOC’s 10th National Assembly, Andrea DeSantis presented AI Triage, designed and built by QualiValue under his strategic and technical direction. The project connects branches, staff and specialists to rethink assistance around people’s needs.

At the service desk, staff and AI agents collaborate on cases. Remotely, the model provides for digital assistance around the clock, within defined rules and under human control.

Andrea DeSantis presents AI Triage at ADOC’s 10th National Assembly in Rome

Scenario

ADOC, an Italian consumer protection association, aims to make assistance more accessible and continuous, connecting expertise across its network and dedicating more time to listening to people.

QualiValue intervention

AI agents help analyse documents and contracts, find sources and regulatory references, and prepare possible next steps for review. Staff retain control, while professional assessments remain with qualified specialists.

Value

The aim is to ease the operational workload, strengthen expertise and create more room for personal support. This evolution in working practices reinforces the association’s social role.

The stage at ADOC’s 10th National Assembly showing the event title and dates, 13–14 October 2026

Presentation of AI agent support with documents, sources and operational steps for case management

AI content intelligence

InfoRadar: AI for trade union information flows

InfoRadar was presented at the 1st National Congress of UIL Funzione Pubblica as an AI platform developed by QualiValue to transform a continuous flow of news, updates, and operational content into selected, structured, and actionable information for the trade union network.

The goal was not to add another digital channel. It was to build a tool that identifies what matters, reduces information noise, and helps useful content move faster across daily work.

InfoRadar presentation: AI Innovation at the UIL Funzione Pubblica National Congress

InfoRadar slide presented during the UIL Funzione Pubblica National Congress

Scenario

A national federation produces and receives information every day that must reach the right people quickly: documents, communications, regulatory updates, territorial content, and materials that support union activity.

The risk was typical of distributed organizations: too many sources, priorities that are not always clear, and important content struggling to become shared operational knowledge.

QualiValue intervention

QualiValue developed InfoRadar as an AI platform to identify, organize, and distribute relevant content, shaped around the way union information is produced, filtered, and shared.

The solution combines web and mobile applications, source collection, content analysis, and consultation support, making AI an operational tool rather than a technology showcase.

Value

InfoRadar helps reduce information dispersion, make relevant content easier to access, and support faster communication between national offices, local structures, and field teams.

Its presentation during the UIL Funzione Pubblica National Congress made a key shift visible: AI applied to a real process, with direct impact on how an organization knows, decides, and communicates.

Other AI case studies

AI workflow orchestration · Project in progress

AI orchestration for managing and routing complex requests

Illustrative scene: three people arrange the steps of a working process on paper.

Scenario

An organization needed to manage requests that varied widely in content, priority, and complexity, collecting the necessary information and directing each case toward the most appropriate expertise.

QualiValue intervention

QualiValue designed a modular platform combining conversational intake, dynamic information structuring, AI classification, skills-based assignment, integration with the existing operational system, and user-supervised decision support.

Value

The solution is designed to make intake faster and more consistent, provide users with an already organized context, and maintain human control and traceability throughout the process.

RAG applications for professional services

AI and RAG document portals for professional firms and property managers

Scenario

Professional firms and organizations managing separate document archives for each client or property received recurring requests to locate files, retrieve information, understand existing documents, and prepare document packages.

QualiValue intervention

QualiValue developed vertical applications for accounting firms and property managers. Through a natural-language chat, users can find documents, retrieve information, and obtain explanations by querying only the authorized archive. The RAG-based AI assistant cites the sources used and provides direct access to the relevant files.

Value

The platforms replace manual navigation through folders with conversational access to document archives, increasing user autonomy and reducing repetitive document requests handled by professionals.

AI governance

AI governance for a large national organization

Illustrative scene: three professionals discuss roles and priorities beside a wall with notes.

Scenario

The client needed to bring Artificial Intelligence into a broad organization with multiple decision levels, categories, territories, and people with very different skill sets.

QualiValue intervention

QualiValue built an advisory and training program to make AI manageable: scenarios, risks, use cases, organizational impact, and communication content for different audiences.

Value

The program turned AI from an abstract topic into a subject of governance: clearer content, language, and priorities for executives, operators, and external stakeholders.

AI platform

AI platform for triaging highly variable requests

Scenario

The client managed requests that varied widely by content, urgency, and complexity. Service value depended on quickly understanding each case, collecting essential information, and routing it toward the right response.

QualiValue intervention

QualiValue designed a platform with AI, conversational triage, structured information collection, a document knowledge base, and operator-supervised decision support.

Value

The solution makes initial triage more structured, reduces the loss of important information, and creates a more consistent basis for deciding how each request should be handled.

AI document intelligence

AI extraction and anonymization of PDF data with a local model

Illustrative scene: a document is compared with a version in which some information has been redacted.

Scenario

The client received communications and documents through a dedicated operational mailbox, with PDF attachments to read, interpret, anonymize, and transform into useful information for internal routing.

QualiValue intervention

QualiValue designed a system that uses AI document intelligence to extract data from PDFs, classify relevant information, and anonymize content through an AI model running locally before automatic routing to the correct process.

Value

The client can handle recurring documents more consistently, reduce dependence on repetitive manual reading, and protect sensitive data through local AI processing designed for high-volume workflows.

AI advisory

Ongoing AI advisory for organizational transformation

Scenario

The organization needed to distinguish AI use cases with operational value from isolated experiments, connecting technology opportunities, processes, data, and internal responsibilities.

QualiValue intervention

QualiValue supported the client with specialist advisory on scenarios, priorities, use cases, risks, adoption, governance, and the long-term sustainability of AI initiatives.

Value

The advisory made AI an organizational lever rather than a single tool: clearer opportunities, stronger feasibility criteria, and better-informed decisions before investment.

AI training

AI training for staff in a national association

Illustrative scene: participants complete computer-based exercises with support from a trainer.

Scenario

The organization needed to introduce generative AI into the daily work of its staff, avoiding both superficial enthusiasm and defensive rejection of a tool already entering information processes.

QualiValue intervention

QualiValue designed a practical training program on generative AI, prompting, model limits, responsibilities, real use cases, and ways to integrate these tools into daily work.

Value

Participants gained concrete criteria for using AI more consciously: when to rely on the tool, when to verify it, and how to embed it in supervised processes.

AI funding design

Designing a funding call dedicated to AI training

Scenario

The client needed a funding call focused on Artificial Intelligence, capable of translating a complex topic into objectives, target groups, training content, criteria, and expected impact.

QualiValue intervention

QualiValue contributed to the structure and wording of the notice, working on needs analysis, program architecture, AI content, coherence criteria, technical language, and the connection between training and organizational transformation.

Value

The call presented AI not as a generic theme but as a structured training investment: easier for recipients to understand, stronger from a project-design perspective, and closer to real business needs.

AI training

AI course for a technical professional group

Illustrative scene: three technical professionals discuss a worked example during a training session.

Scenario

A technical professional group needed to approach generative AI with practical language, able to clarify impacts, limits, and opportunities without oversimplification.

QualiValue intervention

QualiValue designed and delivered a targeted course on AI, prompting, use cases, risks, output reliability, and practical ways to integrate generative tools into daily activities.

Value

Participants received an operational framework for using AI with greater awareness, distinguishing useful experimentation, possible automation, and areas where human control remains essential.

AI healthcare training

AI training for healthcare professionals and staff

Scenario

Healthcare professionals and staff needed to understand AI beyond the initial hype: opportunities, limits, responsibilities, and impact on services, processes, and work quality.

QualiValue intervention

QualiValue delivered training content on generative AI, service impact, risks, productivity, work quality, governance, and application scenarios in the healthcare context.

Value

The program helped participants understand AI as an organizational and professional transformation, not only a technology trend, with attention to responsible use and human oversight.

Responsible AI training

Responsible AI training for the leadership of a national consumer association

Illustrative scene: two professionals review an assessment report together on a monitor.

Scenario

As part of an initiative funded by the Italian Ministry of Enterprises and Made in Italy (MIMIT), the leadership of a major national consumer association needed a clear framework for understanding the opportunities, limitations, and responsibilities connected with the use of Artificial Intelligence.

QualiValue intervention

QualiValue designed and delivered a course on the correct and responsible use of AI, covering output reliability, data protection, human oversight, organizational risks, and criteria for evaluating potential applications.

Value

The course provided leaders with practical criteria for guiding decisions, behaviors, and internal initiatives, supporting a more informed, secure, and responsible adoption of AI.

Do you want to turn a complex need into a concrete AI project?

QualiValue supports organizations, companies, and teams in selecting use cases, designing solutions, developing AI platforms, training people, and governing adoption.