What we are building with AI agents, without violating privacy or NDAs.
For confidentiality reasons, we cannot disclose client names, data, documents or operational details. We can, however, show examples, describe application scenarios and explain how we are turning complex activities into genuinely useful AI tools.
Documents and invoices
Control, calculations, tables and updated data.
Social and content
Editorial plans, copy, images and scheduling.
Finance monitoring
Portfolios, alerts, news and market sentiment.
Business analytics
Flows, critical issues, productivity and profitability.
Case studies are presented in anonymized form: the focus is not “who the client is”, but which problem is solved, how much work is reduced and which operational value is generated.
Confidentiality first, communication second.
Many AI projects work on documents, procedures, fiscal data, financial data, internal processes or commercial information. For this reason, case studies must not become public exposure of what a client manages internally. On this page we show the method, objectives and some operational results while keeping data and details covered by privacy or NDAs anonymous.
Document Agent dedicated to the accounting sector.
The first case concerns a Maltese company that manages a large volume of fiscal documents and client invoices. These documents must be recorded, checked, counted and transformed into tables according to calculation elements required for the activity.
Previously, accounting for one quarter could require full working days and one or more people dedicated continuously. Today, with one click and operator supervision, the system accelerates the process for each client while keeping data updated, accurate and available in real time.
The project is continuously evolving: the goal is to add new features and build an increasingly specialized tool, able to free people's time and allow them to focus on more productive activities for clients and the company.
Collection
Fiscal documents, invoices and client files are organized in a controllable flow.
Verification
The system checks consistency, data, amounts, period and useful accounting information.
Calculation
Data is counted and organized according to operating rules and required tables.
Supervision
The operator keeps control, review and final validation of the process.
PostOrbit: the AI agent to support social media managers.
PostOrbit is an AI Agent under development for a company. Its purpose is to support social media managers in creating and managing editorial plans, always working with human supervision when needed.
The project includes functions to ideate content, generate text, propose images, organize an editorial calendar and publish posts on Meta platforms according to a precise schedule.
The key point
Not replacing the social media manager, but increasing operational capacity: less time lost between drafts, calendar and publishing, more time for strategy, creativity and brand tone control.
Portfolio & Monitoring Dashboard.
An AI agent designed to monitor portfolios made of stocks, ETFs, bonds and funds. The goal is to collect information, news, alerts and sector signals to help the user quickly read what is happening in the market.
In trading and active management, time matters. A CEO statement, a political position, macroeconomic news or a change in sentiment can change the context in minutes. The system aims to make this information more visible and timely.
Note: the project is intended for information and monitoring support. It does not replace financial advice, professional evaluation or the investor's decision-making responsibility.
News and signals
Collection and synthesis of relevant news for assets, sectors, markets and geographic areas.
Preventive alerts
Alerts on potentially impactful events or signals before they become indistinct noise.
Sentiment reading
Support for understanding market climate and information that may influence operational decisions.
Flows
Critical issues
Profitability
Productivity
Business Analytics & Business Intelligence Agent.
An already built agent, now evolving, designed to read company data, analyze operational flows and suggest areas where action can improve productivity and profitability.
Its value lies in helping the company identify critical issues, waste, bottlenecks, anomalies or improvement opportunities, turning data and observations into operational guidance.
The initial agents created the foundation for more vertical projects.
Many of the agents already built and presented on the home page or site pages were used as early operational experiences. From there they were redesigned and refined several times, following the evolution of technologies, integrations and more updated LLM versions. Today we are working on ad hoc projects, in more precise areas and with more complex applications.
Operational Marketing Agent
Support for content, campaigns, messaging, editorial plans and digital activities.
Signal Digest Newsletter AI Agent
Source collection, synthesis, classification and preparation of informational digests.
Multi-Agent System with Local RAG
Specialized agents working on documents and company knowledge bases.
MedFront
On-premise medical agent designed for contexts with sensitive data and local control.
Google Workspace MCP Server
Controlled connection between AI and tools such as Drive, documents, sheets and email.
Document Automation
Reading, classification, data extraction and reports from company documents.
Some projects will have dedicated in-depth pages.
For more complex projects it makes sense to create specific pages with videos, screenshots, flows and updates. Some pages already exist as WIP versions and can be integrated into the site when the material is ready and consistent with privacy, NDAs and commercial communication.
Document Agent
Dedicated page to be built as soon as anonymized content, images or videos are available.
Newsletter Agent / Signal Digest
In-depth page already set as a WIP base, to be updated with video and final content.
Market Analysis Agent
Useful in-depth page to show market research, source analysis and strategic support.
MedFront
Vertical page to explain the on-premise logic and the sensitive-data issue.
Do you have a complex process that could become an AI agent?
We start from a call, analyze the real flow and understand whether you need an agent, a dashboard, a RAG system, document automation or an on-premise solution.