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Automated mapping of manual processes

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  • 1ª parte: Eletrobras apresenta a oportunidade e as principais dores que buscam solucionar.
  • 2ª parte: Sessão de perguntas e respostas para esclarecer detalhes sobre o desafio.

Data: O encontro será na próxima quarta-feira, dia 06/11,
Horário:  10h30 às 11h30
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Automated Mapping of Manual Processes

Sponsor: Roberto Brigido
Leader: Gabriela Kaiuca

Como automatizar o mapeamento de processos manuais utilizando tecnologias de image-to-text e speech-to-text, gerando documentação estruturada com base em áudio, texto, imagem e vídeo?

Description: Mapping and documenting several manual processes carried out in the field are challenging for large companies like Eletrobras, because they need to be standardized according to BPMN (Business Process Model and Notation) best practices. Due to the high demands, the complexity of these processes and the manual effort involved, we sought an innovative solution to improve this work.

The proposal is to use image-to-text and speech-to-text technologies, integrated with GenAI, to automate the mapping of processes and the construction of normative documents. The solution must capture audio, text and image information (with the inclusion of video being a differential), and automatically generate transcripts and workflow proposals or SOPs (Standard Operating Procedures), saving the team time and effort.

We are looking for a solution that automates data capture in the field and converts it into structured documentation, including process characterization, flowcharts and regulatory documents. The system must use language models (LLM) to accurately interpret and organize this data, mapping workflows based on verbal and visual descriptions, facilitating the creation of documents such as SOPs and other work processes.

Image-to-text  | Speech-to-text | GenAI  | Advanced Language Models (LLM)

Mandatory requirements for the solution:

  1. Functionality for capturing images, voice and text to transform into procedural descriptions. 
  2. Audio transcription functionality to convert voice recordings into text, allowing mapping of verbally described processes. 
  3. Integration with LLM to interpret unstructured data and organize it into clear and detailed processes. 
  4. Automated documentation to generate structured process documents (Characterization, Narrative, Flowchart, RACI Matrix, Indicators). 
  5. Link para vídeo de apresentação da solução.
    Insira 1 link no formulário de inscrição, para um vídeo de apresentação ou outro material sobre sua organização e/ou solução.

Business Impacts: 

Automation of manual process mapping, reducing time and effort for documentation, ensuring greater precision and agility in field work. 

Expected Benefits: 

·  Increased efficiency in process mapping. 

·  Reduction of manual effort. 

· Faster and more accurate documentation. 

· Greater compliance with BPMN and other company regulations. 

Program stages