When the problem isn't a lack of data, but finding the right information.
How many important decisions at Petrobras are stalled because no one can find the right information?
This is a common reality at Petrobras. Over the years, thousands of technical documents are produced and stored in different formats, systems, and databases. Manuals, AutoCAD drawings, PDFs, engineering reports, valve specifications, and asset documentation end up distributed across various repositories, making the search for information a slow, manual, and error-prone process.
The result is well-known: there is enough information, but it is not always available when the operation really needs it.
This is exactly the type of challenge that... Artificial intelligence It's being resolved within Petrobras.
What is AI-powered document analysis?
AI-powered document analysis is the use of artificial intelligence models to identify, extract, organize, and structure information present in digital or digitized files. This approach allows for the transformation of unstructured content, such as PDFs, technical drawings, and reports, into more accessible data for research, system integration, and decision support.
In environments with a large volume of documents, technology reduces the reliance on manual searches and facilitates access to information that was previously distributed across different formats and repositories.
Petrobras' challenge: transforming dispersed information into accessible knowledge.
Petrobras' operations deal daily with a huge volume of information about valves, equipment, industrial assets, and critical processes.
This data is typically distributed across physical documents, digital files, and various corporate systems.
In a project of this nature, it is common to encounter scenarios such as:
- approximately 3,500 technical files;
- approximately 9,500 pages of valve documentation;
- over 200 different document templates;
- 10 different file formats;
- Over 250 data fields extracted and structured automatically.
The challenge is not in storing documents.
The real challenge is transforming unstructured information into reliable, searchable, and readily available knowledge to support operations, maintenance, and engineering teams.
The impact of unstructured information on companies.
When critical data remains scattered across hundreds or thousands of documents, certain problems become commonplace:
- Professionals spend hours searching for information;
- Teams work with documents in different versions;
- It increases operational rework;
- Information becomes decentralized;
- The dependence on individual knowledge is growing;
- Decisions become slower and less reliable.
In industrial operations, every minute spent searching for a document represents less time dedicated to analysis, planning, and execution.
It's not just a problem of document organization.
It's a problem of productivity, operational efficiency, and decision-making.
The solution: Smart Doc Analyzer, Paipe's Artificial Intelligence.
To resolve this scenario, Paipe developed the Smart Doc Analyzer, an Artificial Intelligence solution created to automate the extraction, organization, and structuring of information present in technical documents.
The solution was developed to understand different types of documents, regardless of format or data origin.
AI is capable of extracting information from:
- Digitized physical documents;
- PDF files;
- AutoCAD drawings;
- technical documents;
- corporate systems.
Instead of just storing files, the Smart Doc Analyzer It identifies relevant information, automatically structures the data, and creates a single, searchable knowledge base.
In practice, this means transforming thousands of scattered documents into organized information ready to support strategic decisions.
The benefits of Artificial Intelligence in document management.
By automating the organization and interpretation of technical documents, Petrobras can achieve benefits such as:
- significant reduction in time spent searching for information;
- Integration between different data sources;
- Reducing operational rework;
- improving the quality of information used by the teams;
- increased productivity;
- Greater reliability to support technical and operational decisions.
Instead of navigating through thousands of pages and documents, professionals can now locate information quickly, in a structured and reliable way.
Why is Artificial Intelligence different from traditional document management?
Traditional solutions organize files.
Artificial Intelligence organizes knowledge.
By understanding the content of documents, identifying patterns, and automatically structuring information, AI eliminates repetitive tasks and significantly reduces the manual effort required to locate critical data.
This new model allows engineers, analysts, and maintenance teams to spend less time searching for documents and more time making decisions that generate value for the business.
How Paipe applies Artificial Intelligence to solve real-world challenges.
At Paipe, we believe that technology only generates value when it solves real business problems.
That's why we develop Artificial Intelligence solutions capable of transforming large volumes of data into faster, smarter, and safer decisions.
THE Smart Doc Analyzer It was created to automate the organization of technical documents, reduce manual activities, and increase companies' ability to make confident decisions.
More than just digitizing documents, the solution transforms scattered information into structured, accessible knowledge, ready to support critical operations.
Because, in the end, the competitive advantage isn't about having more data.
The key is to transform them into better decisions at the right time.
About Paipe
With over 12 years in the market and more than 150 specialists, Paipe develops solutions in Artificial Intelligence, data science and... software engineering for medium and large companies.
Its purpose is to impact the lives of those who transform businesses, enabling organizations to transform data into smarter strategic decisions powered by AI.
THE Smart Doc Analyzer This is part of our commitment, helping companies automate document processes, increase operational efficiency, and make decisions with greater speed, security, and reliability.
Precautions before implementing AI-powered document analysis
AI-powered document analysis depends more than just choosing the right technology. To generate reliable information, the project needs to consider several important factors.
Quality and diversity of documents
Incomplete files, low-quality scans, and widely differing patterns may require specific handling before analysis.
Defining priority information
The company needs to determine which fields, specifications, and data should be identified. The clearer the operational objective, the more targeted the solution can be.
Information security and governance
Technical documents may contain strategic or restricted information. Therefore, access permissions, traceability, and security policies should be part of the implementation.
Human validation
Artificial intelligence can accelerate the identification and organization of information, but critical processes need to maintain review and validation mechanisms by responsible professionals.
Integration with existing systems
For the information to be truly useful, the solution must consider the systems, workflows, and repositories already adopted by the company.
Frequently asked questions about AI-powered document analysis.
What is AI-powered document analysis?
It is the application of artificial intelligence models to read, identify, extract, and organize information present in digital or digitized documents. The goal is to transform unstructured content into more accessible and useful data for business processes.
Which documents can be analyzed using artificial intelligence?
Depending on the solution and project configuration, PDFs, scanned documents, reports, manuals, technical drawings, and information from corporate systems can be analyzed.
What is the difference between traditional document management and AI-powered document analysis?
Traditional document management focuses primarily on the storage, classification, and control of files. AI-powered document analysis also interprets the content, identifies specific information, and transforms documents into structured data.
Does artificial intelligence completely eliminate human analysis?
Not necessarily. AI can reduce repetitive tasks and speed up analysis, but human validation remains important, especially in critical technical, regulatory, or operational processes.
When should a company consider an AI-powered document analytics solution?
This solution may make sense when there is a large volume of documents, difficulty in finding information, an excess of manual processes, different document standards, or a need to integrate scattered data.
How do I start a document analysis project using AI?
The first step is to define a concrete business pain point, identify the documents involved, determine what information needs to be extracted, and assess the quality and security of the data. A proof of concept can help validate feasibility before scaling the project.