Pipefy

My main use case for Pipefy  involves creating accounts receivable pipes, splitting tasks among the operations team, and managing projects. I duplicate the information from the financial system for accounts receivable, and from this information inside Pipefy , in a Kanban separated by time stages, I start creating tasks for the finance team.

Kanban view really helps us to have a panoramic view of what's happening in the company, how much we have coming in there, and how much can come in within a certain period.

In my opinion, the best features that Pipefy offers are the separation of forms by phase and the tag section for assignment of owners. The separation of forms by phase and the assignment of owners make my day-to-day easier by allowing me to determine small actions at each phase for a specific person, where the form will only be available in that phase. A specific form will only be available in that phase, then from the moment the phase changes, I can switch it to another person and also change the form. The updated form will be available to another person, but it is a totally different form.

Pipefy has had a positive impact on my organization by helping the collections team convert invoices that were overdue into paid invoices and, consequently, cash for the company.

I believe Pipefy can be improved by clarifying the API calls and making packages for API calls more accessible, because in my organization we have a lot of automation, but we have few API calls, precisely because we have a fixed plan and the organization, in fact, does not need that.

I have been using Pipefy for over two years.

My advice for others thinking about using Pipefy is to have defined processes, so that the migration is easier before migrating. I think Pipefy is a good tool for those who already know what they want and need to speed up processes, but in general, it is more important for you to know which data is important for you and which processes you need to define than for you to simply hire a tool. I would rate this experience a seven out of ten.

I use Pipefy  mainly for workflow automation, internal process management, and organization operations requests between teams. We used it to start tasks, approvals, and record information activities for two years.

My main use case for Pipefy  is workflow automation, internal process management, and organizing operational requests between teams. We use it to standardize tasks, approvals, and recording operational activities.

One of the workflows I automated with Pipefy is the flexibility of creating customized workflows and automation without requiring heavy development effort. The interface is user-friendly and helped improve visibility across processes and teams. It has improved process organization, task tracking, visibility, and reduces manual follow-ups between teams. It has also rapidly centralized the operational requests in one place.

For example, when managing internal operation requests between infrastructure and development teams, before Pipefy, many requests were handled manually through chat messages, emails, and spreadsheets, which made tracking difficult and sometimes caused delays or duplicated work. With Pipefy, we created a structured workflow where requests automatically move through stages such as triage, approval, execution, validation, and completion. Each stage had assigned responsibilities, deadlines, and automated notifications. This helped centralize communication, improve visibility, and reduce the amount of manual follow-up needed between teams. We also used automation for approvals and status updates, which reduced repetitive tasks and made the process more organized and predictable. Overall, it improved workflow transparency and helped teams collaborate more efficiently.

Pipefy has had a positive impact on my organization primarily by improving process organization, collaboration, and operational visibility across teams. One of the biggest improvements was reducing the amount of manual follow-up work. Before using Pipefy, teams often relied on chats, emails, and spreadsheets to manage requests, which sometimes caused delays, lost information, or duplicated efforts. After implementing structured workflows and automations, processes became more standardized and easier to track. Teams could clearly see task status, responsibilities, priorities, and pending approvals in one centralized platform.

In terms of productivity, it helped reduce repetitive administration tasks through automation, especially for approvals, notifications, and status updates. That allowed teams to focus more on execution rather than manual coordination. Collaboration also improved because both technical and non-technical teams had better transparency into workflows and deadlines. It reduced communication gaps and made cross-team coordination more efficient.

Another important improvement was process visibility for leadership and management. It became easier to identify bottlenecks, monitor SLA performance, and track operational metrics in a more organized way. Overall, Pipefy helped create more predictable, organized, and scalable operational processes.

In my opinion, some of the best features Pipefy offers are workflow customizations with low-code configuration, automation of repetitive tasks and approvals, an easy-to-use and intuitive interface, visibility and tracking across teams and processes, integration capabilities with other tools, centralized process management, notifications, and SLA tracking. One feature I particularly appreciated was the ability to standardize processes while still keeping workflows flexible enough to adapt to different team needs. Teams interact with Pipefy mainly through structured workflows for operation requests, approvals, and task tracking. Instead of relying on scattered communication through chats and emails, they use Pipefy as a centralized platform to submit requests, follow progress, assign responsibilities, or monitor deadlines. It improved collaboration between technical and non-technical teams because everyone had better visibility into the status of tasks and processes.

The flexibility of Pipefy helps my teams because our workflows often change depending on team priorities and operational needs. For example, we initially created a simpler approval workflow for infrastructure requests. Later, as the process evolved, we needed to add new validation stages, automatic notifications, SLA controls, and different approval paths depending on the request type. With Pipefy, we were able to adapt the workflow without needing major redevelopment or complex technical changes. That made it easy for teams to continuously improve processes as requirements changed. Another positive aspect was how quickly non-technical teams could understand and interact with the workflow. The visual organization and automation features helped reduce confusion and improve collaboration across departments.

I also appreciated the reporting and tracking visibility because managers and the team could easily monitor bottlenecks, pending tasks, and process performance in a centralized way.

Overall, I had a positive experience with Pipefy, but I think there are still some areas that could be improved. One area would be advanced workflow management and scalability for more complex enterprise environments. As workflows grow larger and involve many teams, pipelines and automations can become difficult to maintain and organize over time.

I also think reports and analytics could be more flexible and customizable for operational and management level insights. More advanced dashboard capabilities would be helpful for larger organizations. Another improvement could be deeper native integrations with technical and DevOps-oriented tools, especially for infrastructure and engineering workflows. In some cases, more advanced automation logic or conditional workflows require additional configurations or effort. Simplifying  this experience could improve usability.

Finally, while the platform is very useful and user-friendly for non-technical users, governance and permission management in larger environments could become easier to structure and manage at scale.

While I do not have exact official metrics available, based on our internal experiences, I would estimate that Pipefy helped reduce manual follow-up and coordination work by around thirty to forty percent. Processes that previously required constant status checks through chat messages and emails became much more centralized and automated. We also noticed faster response times for operational requests because responsibilities, approvals, and deadlines became clearer inside the workflow. From a productivity perspective, automation for notifications, approvals, and task movements probably saved several hours per week for the teams involved, especially for recurring operational processes. Another important improvement was reducing communication gaps and duplicated work. Since everyone had visibility into the workflow status, teams spent less time searching for updates or clarifying ownership. Overall, the biggest gains were in process visibility, operational organization, and reduction of repetitive manual coordination tasks.

One additional improvement that could make Pipefy even better would be stronger AI-assisted workflow recommendations and automation suggestions. For example, intelligent suggestions for process optimization, bottleneck detection, or automation opportunities could help teams continuously improve workflows more proactively. I believe enhanced observability and traceability for complex workflows would be valuable in enterprise environments, especially for teams managing many operational processes simultaneously. Another area could be improving the experience for highly technical teams by offering more advanced API integrations and infrastructure-oriented capabilities while still keeping the platform simple for non-technical users. Overall, I think Pipefy already delivered strong value for workflow and process management, especially because of its flexibility and the ease of adoption across different departments.

My advice would be to start with simple and well-defined workflows first. Then gradually expand automation and process complexity as teams become more familiar with the platform. Pipefy works especially well when organizations take time to standardize processes and clearly define responsibilities, approvals, and workflow stages before building automations. I would also recommend involving both technical and non-technical teams early in the implementation process because one of Pipefy's strengths is improving collaboration and visibility across departments. Another important point is to establish governance and workflow organization standards from the beginning, especially in larger environments. As the number of workflows and automations grows, maintaining consistency becomes very important. For organizations looking to improve operational organization, process tracking, approvals, and workflow automation without heavy deployment effort, I think Pipefy can deliver strong value and a relatively fast adoption.

Overall, I think Pipefy is a strong and flexible workflow management platform that can bring significant value to organizations looking to improve operational processes, collaboration, and automations. What I appreciated most was the balance between usability and flexibility. It allowed both technical and non-technical teams to collaborate more effectively while maintaining process visibility and organization. I also think Pipefy is especially valuable for companies that are transitioning from manual process management and want a more structured and scalable operational model without requiring large development efforts. At the same time, continuing to evolve in enterprise scalability, analytics, integrations, and intelligent automation features could make the platform even stronger for larger and more complex environments. Overall, my experience with the platform was positive, and I believe it can be a very effective solution for workflow and business process management. I would rate this review an eight out of ten.