Blog
We write about document automation, generative AI for documents, intelligent document processing and business process automation.
On 17 July 2026 our Co-CEOs Luca Rillosi and Emanuele Rota were guests of the “Pillole di Intelligenza Artificiale” series run by Digital Innovation Hub Bergamo, presenting a real-world case on AI for the accounts payable cycle. Watch the recording.
How to apply AI in an Italian manufacturing SME: where it works, where it fails, a decision framework, real cases and a 90-day operating plan.
What OCR is, how it works in four stages, where the traditional technology stops, and how artificial intelligence turns document recognition into automation.
The Model Context Protocol (MCP) is Anthropic's open standard connecting AI to business systems. Architecture, the three pillars and use cases, explained clearly.
MCP Server: what it is, how it works and how to build one. Examples of existing MCP servers (GitHub, Slack, Filesystem) and an implementation guide in Python.
RPA and artificial intelligence: the differences, when to choose one over the other, and how to combine them to automate business processes intelligently.
Automate Italian transport documents (DDT) with AI: what a DDT is, the legal obligations, how to digitise it and integrate it with your ERP. 2026 guide.
In a fast-moving market, AI-driven business process automation is now a strategic choice. It's not just about efficiency: it improves decision quality, increases operational reliability, and ...
In the manufacturing sector, where every minute counts, manual handling of DDT (Delivery Note) documents can become a bottleneck. In many companies, data entry takes time...
The Italian manufacturing sector faces complex challenges that go well beyond production itself. Managing administrative and document processes is one of the main bottlenecks.
Mastranet AI is a finalist at Unioncamere's Top of the PID 2025 award with TypeLens. What the award is, what the Digital Enterprise Points are, and why it matters.
At the heart of the plant engineering and automation industry, efficiency is not optional: it is the engine that drives growth and competitiveness.
L'Eco di Bergamo profiles Mastranet AI: the startup founded two weeks after ChatGPT, TypeLens, computer vision, and why its founders urge caution about AI.
Mastranet AI is part of the Bergamo Sviluppo business incubator at the Point in Dalmine. What the Point is, what it offers startups, and why being there matters to us.
Mastranet AI's participation at SPS Italia 2025, held from May 13 to 15 at Fiere di Parma, concluded with exciting results and new perspectives for the future of business automation.
NTE Process received an honourable mention at the PMI Award 2025 run by the Digital Innovation Observatories of Politecnico di Milano, with TypeLens behind the scenes.
Mastranet AI has been admitted to the NVIDIA Inception Program. What the programme involves and what it changes in practice for TypeLens and Mira.
Document automation is no longer a luxury reserved for large enterprises: today it represents a real competitive lever for SMEs that want to grow, innovate, and free up precious resources.
The evolution of OCR (Optical Character Recognition) is one of the most fascinating stories of technological innovation applied to document management.
The evolution of artificial intelligence in the business world is reaching a decisive turning point. With the introduction of the new Workflow Automation Builder by Typelens, the Mastranet AI team
What invoice matching is, how two-way and three-way matching work, the weaknesses of manual checking, and how the process gets automated.
Manual data extraction from supplier datasheets represents one of the most time-consuming and resource-intensive activities for reselling companies. Every day, industry professionals face mountains of te
The automotive sector is one of the most complex and dynamic in the world. Managing an efficient supply chain means coordinating suppliers, production, logistics, and distribution, often with an enormou
The chemical and petrochemical sector is characterized by extremely stringent regulations and a high volume of technical and administrative documentation to manage daily. Companies in this
The packaging industry is today at the center of a profound digital transformation, driven by the need to respond to increasingly rapid production cycles, customized orders, and a growing push toward s
The administrative management of commercial transactions often requires repetitive manual processes prone to errors, especially when it comes to transforming documents such as courtesy invoices into pur
What accounts payable invoices are, how they differ from receivables, how the payable cycle works and what changes when invoice registration is automated.
Financial reconciliation represents a crucial element in the administrative management of SMEs, operating as a fundamental control mechanism to ensure the integrity and accuracy
What a delivery note is for on site, when it is mandatory, which units of measure the Italian Revenue Agency allows, and how to handle the conversions.
Bank reconciliation represents a significant innovation opportunity for small and medium-sized enterprises today. Thanks to the introduction of AI-based software, SMEs can transform this traditionally manual and time-consuming process into an efficient and automated procedure.
Running an efficient business means having smooth and precise processes, especially when it comes to accounting and invoicing. Two-way and three-way matching of orders, invoices, and DDT (Delivery Notes) is a crucial process.
Artificial Intelligence tools are increasingly revolutionizing the business world. Companies leveraging AI significantly improve the efficiency of their operations, also through cost reduction.
In the sales sector, efficiency and precision are fundamental. Currently, most sales orders are managed manually, often through a high volume of emails that must be sifted through by sales teams to extract relevant information.
In the era of Industry 4.0, companies are adopting innovative solutions to optimize production processes. Mastranet AI, our company specializing in the development of AI and Machine Learning based software, is driving this revolution.
Cluster analysis is a set of data analysis techniques whose objective is to select and group information based on homogeneous elements within the data, in order to simplify understanding.
In the context of Industry 4.0, rapid and efficient problem resolution is essential to maintain high operational standards. Mastranet AI, with its focus on Artificial Intelligence (AI), offers advanced solutions that significantly improve operational support.
Machine Learning is a subset of artificial intelligence that focuses on 'teaching' computers to learn from data and gradually improve through experience. Machine Learning proves fundamental when human intuition encounters limits in perceiving complex relationships within data.
In a constantly evolving sector like manufacturing, the efficiency of production processes and the quality of finished products are always at the center of attention. This is where Computer Vision comes in, a field of artificial intelligence that is revolutionizing quality control.
In the fast-paced world of sales and commerce, operational efficiency is a priority. A critical aspect is entering customer orders into the management system, an activity that requires time and resources.
