RPA hero

Automação Robótica de Processos

We’re all familiar with work that suffers from the three R’s – Routine, Repetitive, and Rules-driven actions. Robotic Process Automation (RPA) solutions aim to automate mundane back office work. By replacing full-time equivalent (FTE) hours with machine-based learning, departments like HR, financial services, and call centers can focus on more meaningful and strategic goals.

Learn how organizations use automated machine learning with robotic process automation software.

Automação Robótica de Processos (RPA) + IA

RPA lays the groundwork for enterprise AI and more intelligent applications. If a company has an RPA solution in place, it generally means that they have an automation and data-first mentality and are probably ready to invest in more complex machine learning models to solve their business problems. It also means that their data is ready to be put in a format that can be used for enterprise AI models. Once an organization has seen the levels of productivity that are possible with RPA and AI, many are eager to embrace more complex use cases and digital strategies.

Ganhe Eficiência e Precisão

  • Coloque tarefas repetitivas e mundanas a cargo dos robôs ou escale tarefas humanas.
  • Automatically collect, structure, and label data that is required for enterprise AI to have utility

Melhore Processos baseado em regras

  • Forneça inteligência aos processos robóticos, que podem evoluir e melhorar à medida que mais dados são examinados e treinados.
  • Aumente o desempenho dos funcionários, reduza riscos operacionais e melhore os tempos de resposta.

Automação de Processos Orientada a IA de Ponta a Ponta

  • Orquestração do processo de ponta a ponta, aplicação do processo e modelagem.
  • Humanos, robôs e sistemas trabalhando em conjunto para tomar decisões mais inteligentes fora das regras definidas.
  • Ganhe Eficiência e Precisão
    • Coloque tarefas repetitivas e mundanas a cargo dos robôs ou escale tarefas humanas.
    • Automatically collect, structure, and label data that is required for enterprise AI to have utility
  • Melhore Processos baseado em regras
    • Forneça inteligência aos processos robóticos, que podem evoluir e melhorar à medida que mais dados são examinados e treinados.
    • Aumente o desempenho dos funcionários, reduza riscos operacionais e melhore os tempos de resposta.
  • Automação de Processos Orientada a IA de Ponta a Ponta
    • Orquestração do processo de ponta a ponta, aplicação do processo e modelagem.
    • Humanos, robôs e sistemas trabalhando em conjunto para tomar decisões mais inteligentes fora das regras definidas.
RPA use cases

Casos de uso com RPA

Robotic process automation companies are able to gather data needed to run predictive models in DataRobot.

  • Classificação de E-mails

    RPA AI tools streamline the whole process of email classification, reading incoming email and using DataRobot enterprise AI to classify the request. From there, DataRobot predicts the appropriate channel for follow-up and RPA can forward the email to that department. With a timely follow-up from the assigned department, the workers in the department can focus on higher value work and get more time back to answer customer phone calls. This ultimately leads to a higher customer satisfaction and more timely responses.

  • Originação de Crédito Bancário

    RPA uses intelligent optical character recognition (OCR) to extract data from paper-based applications and make it available digitally. It performs client outreach for missing information and then routes the completed application to DataRobot to assess the risk and provide an interest rate quote. After obtaining approval, the RPA robot will then notify the customer about the decision on the loan.

  • Manutenção Preventiva

    Predicting when equipment will fail is a huge cost saver for businesses. Ensuring that a company has the right replacement part available and the right maintenance person on hand to fix the problem ahead of time keeps operations running smoothly. RPA helps businesses to get ahead of the problem by gathering service logs and calling upon DataRobot to flag faulty equipment or outages. It then creates alerts for areas expected to suffer issues and repairs equipment before an expensive outage can occur.

  • Encaminhamento de Call Center

    How a customer navigates their way through a company’s phone tree can make or break their relationship with that company. RPA walks through a number of steps that make the process seamless. After pulling the customer profile information, RPA calls out to DataRobot, which predicts which department the customer needs, as well as the customer’s lifetime value and churn risk. It allows the best call center reps to deal with the highest value customers and allows callers to get routed more effectively.

  • Dimensionamento da Equipe de Call Center

    Analisando o volume histórico de chamadas, RPA combina informações de acionamentos da DataRobot. DataRobot Time Series pode projetar o volume esperado de chamadas e alertar os gestores se a equipe estiver subdimensionada. A escala da equipe pode ser desenvolvida com base na demanda projetada, trazendo redução dos tempos de espera e menores custos de pessoal.

  • Saúde & Segurança Públicas

    Enterprise AI can be developed with data from several public sources. Using historical data such as Medicare, the National Provider Identifier (NPI) Database, and the CDC, datasets can be combined to derive an aggregate of drugs prescribed by county and opioid deaths. By understanding how all drugs are prescribed at a county level, agencies can identify relationships between non-opioid based drugs and their effect on the opioid death rate nationally.

  • Evasão de Funcionários

    Analisando dados históricos e por categoria sobre seus funcionários, uma empresa pode prever a rotatividade futura e compensar seus efeitos realizando contratações ou instituindo as mudanças organizacionais necessárias para solucionar o problema. Análises adicionais também podem revelar lacunas futuras em talentos, que deverão ser abordadas para garantir a performance ideal da organização.

  • Fraudes Médicas

    Since it is inefficient and time-consuming to investigate every claim of medical fraud, it pays to use enterprise AI to predict fraudulent activity. Solutions can become obsolete just as quickly as they are developed, and it can be hard for your team to keep up with every claim. RPA with machine learning can monitor the threat landscape and stay ahead of fraud in real-time.


RPA + IA podem transformar sua empresa. Start Now