Veja como você pode projetar sistemas robustos em Automação de Processos usando raciocínio lógico.

Foundation step for designing any system is to identify goal - it involves 4W approach (What, Why, who, when) Feasibility, effectiveness and overall success completely depends on identifying goals by providing:- 1. Clarity on requirement 2. Focused approach 3. Motivation by avoiding intermittent surprises 4. Helping in measurement of progress milestones 5. Proper resources utilisation 6. Clarity on accountability 7. Enhance planning effectiveness and many more…

It all starts with understanding and agreeing on the requirements. You won't be able to develop a robust automation without knowing what are the requirements. Make sure you understand the goals, inputs, outputs, constraints, and any regulatory requirements of the process automation.

Designing robust systems in Process Automation relies on logical reasoning. Start by thoroughly understanding requirements and breaking down processes into smaller tasks. Map out dependencies to anticipate issues and create logical models and flowcharts for clear visualization. Simulate scenarios to identify weaknesses and refine the system iteratively. Document decisions and maintain clear communication. Continuously test and learn to incorporate the latest advancements. This systematic approach ensures robust, efficient, and reliable process automation systems.

C'est très simple à faire : par exemple pour automatiser la création des articles sur WordPress pensez à comment vous faites manuellement, décortiquez les tâches une par une, et utilisez des outils d'automatisation comme Zapier, et L'api de chatgpt comme je fait souvent. C'est vraiment simple 😉

Main thing is customer requirement, based on them you have to design the automation system. You can not design anything on your own, you can only give suggestions based on your experience.

Mapping the process is a crucial part of documentation, typically done through a Process Definition Document (PDD). This is essential for itemizing requirements in process automation. Be specific about what you intend to automate and the outcomes you expect. For example, consider a sales process where each sale in SAP requires a PDF attachment, with a daily volume of 10,000 documents. This task exceeds human limits but can be efficiently handled by a robotic virtual team. However, clear instructions and a detailed PDD are necessary for development.

Ter o domínio do processo e principalmente criar um fluxo bem estruturado trará uma redução do tempo e custo a implantação. Além disso, é importante o envolvimento dos envolvidos operacionalmente, pois neste momento a discussão lhe trata novos inputs e outputs para a criação robusta de sua automação.

Mapear processos é fundamental para garantir uma automação eficaz. Durante o mapeamento, é essencial detalhar cada ação, ponto de decisão e resultados possíveis por meio de um diagrama de fluxo de trabalho. Essa visualização não só ajuda a identificar gargalos e etapas desnecessárias, mas também permite detectar oportunidades de processamento paralelo. Assim, a lógica de automação pode ser ajustada para se adaptar a variações e exceções no processo, assegurando que a automação esteja em sintonia com a realidade operacional.

In a simple form , a process has set of inputs, set of rules or logic , and output . Swim lanes are commonly use to define process in those three compartments, inputs, logic/ rules ,and outputs. Once this swim lanes aka process flow diagram is prepared one can map requirements . This way one can formulate Functional requirements specifications , which will form basis of design of automation system.

Papel e caneta! Primeiro desenhe sua automação, o que conecta com que, o que vai pegar informação da onde. Depois você parte para a ferramenta.

Identifying risks during the discovery phase is crucial. Proper documentation of these risks is essential, as they become part of the project plan and are delegated to the Solution-COE team for further exploration and resolution. Risks can arise in various forms, from feasibility analysis to deployment challenges. Often, use cases get stuck in the discovery phase due to Info-security and regulatory concerns. A key principle is to avoid discussing changes in legacy systems.

Risk analysis for an automation project involves identifying, evaluating, and mitigating potential risks that could impact the project's success. From my perspective, the most important risk that we need to ensure the mitigation is the "Financial Risks". This risk could be aligned with_ - Cost Overruns: Expenses exceeding budget due to underestimation or unexpected issues. - Return on Investment (ROI): Uncertainty about achieving projected savings or productivity gains. - Funding Shortfalls: Potential gaps in financing for project completion.

Risk identification and management is key step in automation system projects . Similar to formulation of cross functional requirements , it is essential to form cross functions team for risk assessment and management. Risk assessment is a continuous process and should be performed as and when there is change in requirements which calls for design changes . Each risk must be assessed , classified and response planed for those risk must be documented and communicated to all stakeholders. Response to risk based on criticality must be considered to be included in test scripts to check effectiveness of identified response .

To optimize logic, start with a clear understanding of the process. Logic optimization involves thorough testing of data and other elements. The goal is to improve performance, so establish benchmarks and conduct performance testing to validate improvements and realize benefits.

Para otimizar a lógica de um sistema de automação, é crucial utilizar o mapa de processos e a análise de riscos previamente desenvolvidos. Essa otimização envolve o refinamento das regras e critérios de decisão, assegurando a máxima eficiência e precisão. A aplicação de operadores lógicos e instruções condicionais é fundamental para direcionar as ações do sistema, permitindo respostas adequadas a diferentes entradas e condições. Esse processo garante que o sistema de automação opere de maneira consistente e previsível, alinhando-se às expectativas de desempenho e robustez.

Ensure that you have a "System Testing" in place to evaluate the entire system in a controlled environment. This test, may include: - Functional Tests: Verify all functions and processes according to the specifications. - Performance Tests: Assess system performance under normal and peak loads. - Stress Tests: Determine how the system behaves under extreme conditions.

A realização de testes minuciosos é fundamental para assegurar a robustez de qualquer sistema. Inicialmente, testes de unidade são realizados para verificar a funcionalidade de cada componente da lógica de automação de forma isolada. Em seguida, testes de integração garantem que esses componentes trabalhem harmoniosamente. Por fim, testes de ponta a ponta simulam cenários reais para verificar o desempenho global do sistema. O raciocínio lógico é crucial na elaboração de casos de teste abrangentes, cobrindo todos os possíveis caminhos e garantindo uma validação completa do sistema.

This is truly paramount. It's your chance to catch issues before they become problems. It's about fine-tuning and making sure everything works in the real world, not just on paper. Test: - Yourself - Someone could find what you made valuable? Nice! Then involve those first users (for free), they often give the most valuable feedback (at the end of the day, you are building it for your ICP, which is THEM).

Thorough testing is important to ensure a robust system. It outlines a multi-tiered approach: starting with unit tests to validate individual components, followed by integration tests to check the interaction between components, and concluding with end-to-end tests to simulate real-world scenarios. Logical reasoning is crucial for creating comprehensive test cases that cover all potential pathways, ensuring that the system is thoroughly validated and reliable. The focus is on a systematic and layered testing process to identify and address issues at every level.

To design robust process automation systems, start by defining clear goals to understand the desired outcomes. Use a modular design, breaking processes into independent modules for easier management and troubleshooting. Implement thorough testing to catch and fix issues early. Regularly update and maintain the system to adapt to changes and prevent failures.

The only way to truly automate something is to iterate it. Inevitably the process will evolve or change, and automations will need to adapt with that. The feedback and revision of the processes means that each iteration or update should aim to improve the process even further by; - Including any missed opportunities - Taking advantage of new technologies - Updating previous work based on collected data and feedback

An iterative approach to system design, emphasizes the use of feedback from testing and real-world operations to continually refine and improve automation logic. Logical reasoning plays a role in analyzing performance data and user feedback to pinpoint areas needing enhancement. Continuous iteration is presented as a method to ensure the system remains robust and adaptable, evolving in response to changing requirements and technological advancements. Ongoing refinement through iterative cycles is essential for maintaining an effective and resilient system.

It's also key to remember this becomes a "live" system, this will be in a constant state of improvement and evolution. The main divers and previous points in this article may also need to be reviewed and updated regularly too, depending on how reactive you are to implement change.

Melhorar o fluxo É sempre importante, identificar onde podemos refinar, pegar mais informações, ou onde podemos economizar. Por isso eu sempre testo muitas vezes

Além das etapas mencionadas, é importante engajar as partes interessadas para coletar feedback contínuo e manter uma documentação detalhada para facilitar a manutenção e as atualizações futuras. Capacitar a equipe para operar e sugerir melhorias no sistema é essencial. Monitorar continuamente o desempenho do sistema ajuda a corrigir problemas e realizar ajustes necessários. Projetar a automação para ser adaptável e escalável garante que ela possa crescer e se ajustar às necessidades futuras. Fomentar uma cultura de melhoria contínua, tratando a automação como um processo em evolução, é fundamental. Também é crucial avaliar os impactos éticos da automação, assegurando uma implementação justa e responsável.