Bringing AI into the company is not just about integrating a language model. It means controlling how AI thinks, what data it uses, what tools it can activate and how every decision is tracked.

AI Guardrail was created to address this need: to offer a level of orchestration, governance and security that enables organizations to adopt advanced AI solutions in a reliable, compliant and scalable way.

A platform to govern AI in production

AI Guardrail is Exprivia’s enterprise platform for designing, orchestrating and bringing Agentic Artificial Intelligence systems into production, ensuring control, observability, data security and flexibility in the choice of models.

AI Guardrail allows you to build complex AI flows, integrate them into business processes, and monitor every step of them, from user input to final output. The platform enables the design of agent workflows, the coordination of tools and models, the anonymization of sensitive data and the end-to-end monitoring of executions, reducing technical complexity and operational risk.

FinOps & Automation

Scope and criticality
Finance and corporate organizations face waste related to uncontrolled use of cloud resources and manual management of large volumes of documents and data, with negative impacts on costs, time and operational quality.

Methodology & Solution
Exprivia introduces Autonomous Optimization solutions based on AI agents capable of automatically scaling cloud resources. Processes are further strengthened by maker-checker logics, in which operational AI systems are verified by control AI, ensuring reliability and consistency of decisions.

Technologies

• FinOps Agents and AI Routers
• NLP and advanced OCR
• Scoring models

Focus
Accountability & Audit: Immutable tracking (Audit Trail) of every decision. Right to human review for the client.

Citizen Services – Proactivity and Simplification

Scope and criticality
Citizens often find themselves disoriented by the bureaucratic complexity and fragmentation of public services: understanding which services are available, who is entitled to them and how to obtain them requires a level of orientation that not everyone possesses, generating exclusion and dissatisfaction with the PA.

Methodology & Solution
Exprivia introduces anticipatory service solutions in which AI analyzes the events in the life of the citizen – the birth of a child, a change of residence, the achievement of retirement age – to proactively propose the most relevant services, even before they are sought. The search and understanding of administrative regulations is simplified through semantic access RAG systems, which return clear and contextualized answers instead of references to legal texts.

Technologies

• GraphRAG on sovereign on-premises environments
• Conversational agents for access to services
• Open data analysis for the anticipation of needs

Focus
Transparency & Sovereignty: Every automatic decision is accompanied by a clear and understandable explanation for the citizen. The data remain on infrastructures resident in Italy, in accordance with the digital sovereignty requirements of the PA.

Research and diagnostics

Scope and criticality
In the Healthcare & Life Science sector, the sharing of sensitive data between hospitals is severely limited by regulatory and privacy constraints, while the high costs of clinical trials slow down research and development processes.

Methodology & Solution
Exprivia adopts a Federated Learning approach in which the algorithm travels between healthcare facilities while the data remains locally stored. This is accompanied by simulations on virtual patients (in-silico), which make it possible to accelerate research and reduce trial costs.

Technologies

• Federated Learning Architectures
• Synthetic Data Generators
• Assistive Robotics Solutions

Focus
Digital Bioethics: Mandatory human clinical supervision. Absolute privacy (no raw data leaves the property).

Commercial – Smart Funnel & Retention

Scope and criticality
In the Energy & Utilities market, commercial initiatives are often characterized by ineffective massive campaigns and a high abandonment rate. Retention actions are frequently late, when the customer has already made the decision to change supplier, with a consequent loss of value and an increase in acquisition costs.

Methodology & Solution
Exprivia addresses these critical issues through an Agentic Customer Value approach, which combines real-time analysis of acquisition behaviors and Survival Analysis models to identify weak signs of abandonment before churn materializes. This allows you to activate targeted, personalized and timely retention actions.

Technologies

• AI retention agents
• Sentiment analysis
• LLM for generating custom scripts

Focus
Fairness & Privacy: Non-discriminatory profiling and preventive anonymization of prospect data (AI-Guardrail).

Operations – Asset & Grid

Scope and criticality
The management of energy assets and networks is made complex by unexpected failures, the intermittency of renewable sources and environmental risks, such as possible spills, which can compromise the continuity of service and operational safety.

Methodology & Solution
Exprivia applies predictive maintenance solutions based on continuous monitoring through Computer Vision and time series analysis, with the aim of anticipating failures and optimizing forecasting and planning of interventions on infrastructures.

Technologies

• Computer Vision for anomaly and spill detection
• Time-series forecasting
• Edge AI on IoT devices

Focus
Eco-Design & Safety: Optimization of energy consumption, algorithms and compliance with industrial safety.