Top 10 AI Prompts and Use Cases and in the Government Industry in Italy

Italy's public administration is moving from pilot projects to practical deployments, and this guide matters because it connects national strategy to on-the-ground wins: for example, INPS fine-tuned a BERT model to automatically classify Certified Emails, routing more than two million messages across fifteen cities and freeing an estimated 30,000–40,000 working days so staff can focus on complex cases (INPS certified email BERT classification case study).

The government's 2024–26 AI strategy stresses public-administration adoption, data quality, skills and ethical guardrails - so actionable prompts and workflows matter as much as models (Italy 2024–26 AI strategy overview).

Practical training closes the gap between policy and practice: targeted courses teach prompt design, privacy-aware workflows and human-in-the-loop checks that civil servants need to deploy trustworthy AI (AI Essentials for Work syllabus (Nucamp)).

“Using AI for chatbots is an underestimation of what AI can do,” says Marco Bani.

Selection for the Top 10 prompts and use cases followed a pragmatic, Italy-first playbook: every candidate had to map to the four macro-areas in the national strategy (research, public administration, business, training) and survive legal and operational filters such as GDPR, the EU AI Act and the emerging Italian bill - checks we framed using AgID's strategy notes and legal analyses like AgID Italian Strategy for Artificial Intelligence 2024–2026 and the DLA Piper briefing on Italy's AI Strategy 2024–2026 - Key Points.

Practicality mattered: prompts had to be technically feasible with Italian-language models, enforceable through data registries and interoperable procurement, and measurable with clear KPIs (service time, error rates, audit trails).

Preference went to workflows that keep humans in the loop, scale across regions and support SMEs, and solve high-impact public problems - a sensible priority given projections that responsible AI adoption could lift Italy's economy substantially.

The methodology balanced ethics, legal compliance, and return-on-effort so each prompt or use case can move projects from pilot to public-service reality.

“the greatest revolution of our time.” - Prime Minister Meloni

Comune di Milano's citizen-facing conversational assistant should behave less like a generic FAQ and more like a multilingual, always-on help desk that routes the routine and escalates the complex: AI-powered chatbots can deliver 24/7 service in many languages, cut wait times and let human staff focus on tricky cases rather than form-filling, an approach proven useful for smaller municipalities (Velaro: AI chatbots for small and mid-sized cities).

Practical design choices matter - language detection, CRM integration and clean handoffs preserve context and trust - so Milan's assistant would benefit from the same multilingual-first playbook used by modern support platforms (instant translation, native-language knowledge bases) described in the Smartling guide to multilingual chatbot best practices (Smartling: multilingual chatbot best practices) and the Lindy guide to multilingual agents and human handoff (Lindy: multilingual agents & human handoff).

Framed as a hybrid tool that is 24/7 yet human-in-the-loop, the assistant becomes a visible convenience for citizens and a practical cost-saver for public administration - one clear touchpoint that turns bureaucracy into a conversation.

For the Municipal Council of Rome, document summarization paired with automated triage can transform paper-heavy workflows into fast, decision-ready signals: AI can compress lengthy council reports and citizen petitions into concise action briefs and route urgent cases to the right office, all while preserving human oversight much like automated systems that keep humans in the loop for fraud detection (automated tax-fraud detection in Italy's public sector).

This hybrid approach protects frontline staff from rote processing and lets them focus on complex judgements - an evolution of roles already described for frontline citizen service staff adapting to AI - while hosting and data-residency choices can stay Italian-first by leveraging sovereign AI platforms like Domyn Colosseum and CINECA to keep sensitive municipal records under domestic control (sovereign AI infrastructure for Italian municipalities).

Imagine a digital spotlight that highlights the single sentence a clerk needs to act on - clear, audit-ready, and routed to the right desk.

The Italian Strategy for Artificial Intelligence 2024–2026 is a compact, government-backed playbook - produced by a 14‑member expert committee coordinated by Gianluigi Greco and supported by AgID - that frames AI as a tool for safe, ethical and inclusive public value; the full text is available from AgID for teams that need the primary source (Italian AI Strategy 2024–2026 PDF (AgID)).

In roughly 38 pages the strategy groups actions into four practical macroareas - Research, Public Administration, Enterprises and Training - and adds a monitoring layer and regulatory analysis so local projects can align with the AI Act and national law; ForumPA's breakdown of the parts focused on the PA is a useful companion when planning operational rollouts (ForumPA analysis of Public Administration actions in the Italian AI Strategy).

For government implementers, the “so what?” is simple and tangible: to make services genuinely inclusive the strategy's emphasis on formation and communication naturally points toward plain‑language rewrites and multilingual versions of policies, forms and citizen messages - turning a dense policy page into a two-line summary that a non‑expert can act on is one of the quickest ways to convert strategy into everyday impact.

“La strategia elaborata dal Comitato inquadra l'intelligenza artificiale come un concreto motore di sviluppo per il nostro Paese, valorizzando le nostre peculiarità e promuovendo lo sviluppo e l'adozione di soluzioni trasparenti e affidabili, in sintonia con i nostri valori.”

Agenzia per l'Italia Digitale (AgID) is the natural fulcrum for turning Brussels' risk-based rulebook into workable Italian practice: national authorities must translate the EU AI Act's obligations - traceable logs, human‑oversight measures and post‑market monitoring - into procurement rules, impact‑simulation tests and clear templates for public tenders, and the Commission's guidance and timelines make that conversion urgent (European AI Act high-level summary).

Practically, AgID-led policy analysis can frame which municipal services count as “high‑risk,” draft regulatory sandboxes where real‑world tests reveal edge cases, and produce the plain‑language checklists civil servants need to run an audit‑ready rollout before the August 2026 deadlines; remember, noncompliance carries heavy penalties (up to €35M or 7% of global turnover in some cases), so one missed log or undocumented dataset can be costly.

For implementers, the European Commission's overview of the AI Act and its sandbox and GPAI tools provide a hands‑on roadmap AgID can adapt to Italy's sovereign hosting choices and sectoral priorities (European Commission regulatory framework for AI).

Istat's role in fraud detection, auditing and procurement risk monitoring should combine the rigor of explainable anomaly‑detection with hard lessons from fraud‑detection failures: modern unsupervised workflows - like the embedding + anomaly + SHAP pipeline described in a 2025 BMC study - help surface unusual suppliers or billing patterns and give auditors human‑readable explanations for why a case was flagged (2025 BMC study on explainable anomaly detection for healthcare insurance).

That technical backbone is important because real‑world deployments have produced dramatic false positives - one automated system in Michigan generated roughly 48,000 fraud accusations and a state review later found 93% were incorrect - showing why human‑in‑the‑loop checks, transparent notice procedures and appeal paths matter as much as model accuracy (US News case study on algorithmic welfare‑fraud failures).

For Italy, practical pilots that pair explainable detectors with targeted audits and sovereign hosting choices - plus integration with existing tax‑fraud tools - can recover revenue without weaponizing automation; see how automated tax‑fraud detection platforms have been framed as hybrid, human‑reviewed systems (automated tax‑fraud detection platforms in Italy framed as hybrid human‑reviewed systems).

The “so what?” is simple: flagged anomalies should light a short, auditable trail to a human reviewer, not become an automatic sentence that upends a citizen's life.

“Using algorithms in the context of social policy comes with way more risks than it comes with benefits. I haven't seen any example in Europe or in the world in which these systems have been used with positive results.”

Azienda Trasporti Milanesi (ATM) can turn routine disruptions into near‑invisible maintenance wins by treating trams, buses and trackside assets as data sources: a city‑wide mesh of IoT vibration, temperature and strain sensors feeding edge analytics and prognostic models can spot anomalies and estimate remaining useful life so crews intervene well before a breakdown disrupts rush hour.

This isn't science fiction - the IEEE paper on IoT‑enabled predictive maintenance and real‑time analytics lays out the sensor→analytics→action pipeline, while Smart City Systems' guide to AI and predictive maintenance for smart city infrastructure maps the full stack from edge gateways to CMMS and digital twins for urban fleets.

For Milan, success hinges on practical choices - secure, interoperable sensors, clear data governance and integration with existing maintenance workflows - so the commuter's memorable “train that never missed a stop” becomes a tangible service‑design win rather than a one‑off experiment.

Latitudo40 can help Italian cities turn satellite and local sensor data into action by combining thermal space‑based maps, socioeconomic overlays and ESG reporting templates that speak to planners and public‑health teams alike: NASA's ARSET course shows how to map land‑surface temperature and build heat‑vulnerability indices (HVI) using Landsat and Google Earth Engine, a practical workflow for converting raw thermal layers into priority zones for cooling interventions (NASA ARSET satellite remote sensing course on urban heat islands).

High‑resolution thermal imagery like SatVu's HotSat (3.5 m) makes those priorities hyper‑local - able to highlight the sun‑baked façade of a tower block or the cool blue pocket under a mature tree - while commercial providers such as Arlula demonstrate how repeatable EO monitoring guides greening, cool‑roof and infrastructure choices that reduce peak demand and support climate‑aligned ESG disclosures (SatVu HotSat high-resolution thermal satellite imagery, Arlula satellite imagery for urban heat island mitigation).

Paired with community sensor campaigns and clear HVI dashboards, this approach turns complex environmental signals into one crisp municipal map that says exactly where to plant trees, add shade, or prioritise cooling centres - an evidence‑first playbook that makes urban resilience measurable and reportable for Italian administrations.

“SatVu's mission has always been to democratise access to cutting-edge technology for addressing critical global challenges. With the launch of HotSat-1, and the thermal infrared imagery collected, we want to highlight our unparalleled capabilities to monitor and mitigate the impacts of urban heat to governments and community leaders - empowering decision-makers worldwide to make informed choices for a more sustainable future.”

SurgiQ's sweet spot for Italian hospitals is stitching together bed‑allocation, scheduling optimization and trial‑cohort management into one explainable, human‑in‑the‑loop workflow that turns chaotic shift rosters and overflowing admission desks into manageable, forecast‑driven actions; proof‑of‑concept work from the NHS AI Lab shows a 14‑week PoC can predict demand, surface ranked bed‑allocation options and present them in a simple UI so clinicians keep the final say (NHS AI Lab Skunkworks bed-allocation case study: predictive demand and ranked bed-allocation options).

Complementary vendors and approaches - from Elion Health AI scheduling optimization market map to Neurealm hospital capacity planner - make it possible to reduce unnecessary moves, speed discharges and smooth perioperative flow without ripping out existing systems.

For Italy this means pragmatic wins: integrate with local Patient Administration Systems, prioritise explainability and data governance, and deploy a “digital chessboard” that highlights the single best move to stop ambulances queueing at the ER - a memorable, operational improvement that saves staff time and keeps patients calmer at the front door.

“This tool will help the likes of myself and others by supporting decision making. Support is the key word here, machine learning will support us to make these difficult bed allocation and patient decisions.” - Digital Director, Kettering General Hospital NHS Foundation Trust

CERT‑PA can turn AI from a buzzword into a practical defence layer for Italian administrations by combining anomaly‑detection models, automated triage and playbook‑driven response so small SOCs spend less time drowning in noise and more time hunting real threats; Google Cloud's Office of the CISO outlines how agency‑specific models and automated initial triage cut toil and make lean teams more effective (Google Cloud Office of the CISO guidance on AI threat detection).

Governance and clear policies matter as much as models - local governments need rules to prevent “shadow AI” and to translate risk analyses into procurement and oversight frameworks (AI governance and ethical frameworks for local governments).

On the tooling side, AI‑driven XDR platforms promise real gains in clarity and prioritisation - VECTRA, for example, reports alert‑noise reductions of 85% or more by automatically scoring and correlating incidents so analysts see a handful of urgent signals instead of thousands of unclear alerts (VECTRA AI-driven XDR platform for government).

The payoff is tangible: a SOC that flags the one real breach amid a storm of false positives, preserves public trust, and protects critical services without ballooning headcount.

“Sometimes, you really can do more with less.”

Politecnico di Milano is already a practical anchor for public‑sector reskilling: its AI4Gov Specializing Master (a 12‑month, project‑based programme managed with POLI.design) trains “AI Functional Specialists” to design, govern and operate human‑centric AI services for municipalities and agencies, with hands‑on project work (341 hours) that ends in a real public‑service prototype and discounts aimed at public‑administration staff - clear, job‑ready training for digital transformation (AI4Gov - Artificial Intelligence for Public Services (Politecnico), POLI.design - AI4Gov programme page).

Shorter upskilling options - like the 40‑hour online course on AI in Public Administration - cover legal duties under the AI Act, basic techniques and risk management so teams can immediately apply competency profiling and role redesign in HR plans (Artificial Intelligence in Public Administration - short course).

For Italian PA leaders the payoff is tangible: a credible pathway to move dozens of desk roles from repetitive processing to oversight and governance, backed by Polimi's long AI research tradition and tailored, audit‑ready curricula.

“For us, Artificial Intelligence is far from being a newcomer. At Politecnico di Milano, we have known its strengths and weaknesses, its opportunities and risks, for 50 years.”

Ready-to-run next steps for beginners in Italy's public sector: align a small, measurable pilot with the Italian Strategy for Artificial Intelligence 2024–2026 (start by reading the strategy overview) and pick a single service to simplify - plain-language rewrites, a multilingual FAQ, or a human-in-the-loop triage pilot - so impact is visible and auditable.

Register to follow AgID's operational guidance and ongoing consultations (the agency publishes practical checklists and has targets for launched projects through 2026) and make compliance a design constraint from day one: log requirements, data-residency choices and clear appeal paths will keep pilots lawful and scalable.

Pair short, job-focused training with a tight KPI set (response time, escalations, reviewer override rates) so staff learn prompt design and oversight in context - an accessible option is the AI Essentials for Work syllabus for practical prompt and workflow skills.

Finally, watch the national bill and EU AI Act timelines and treat early pilots as learning labs that generate documentation, not just demos: convert dense policy into two-line actions that clerks and citizens can immediately use.

“the greatest revolution of our time.”