Pipefy

Implementation, training & consulting · 43 guides

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About Pipefy

Pipefy is a no-code workflow and business process automation platform, organizing work as visual pipelines with defined stages, forms, and automation rules -- used for processes like procurement requests, HR onboarding, IT service requests, or any recurring multi-step approval process that currently runs on email threads and spreadsheets.

Its pitch is that a process owner, not a developer, can model and adjust the workflow directly, including conditional logic, SLAs, and integrations with other tools at each stage.

It is particularly common for internal operations and shared-services processes (HR, procurement, IT) rather than customer-facing sales or support, where more specialized CRM or helpdesk tools usually fit better.

The implementation work that actually determines success is mapping the real, current process accurately (including its exceptions) before building it as a rigid pipeline. Consultants In A Box helps teams do that mapping and build a workflow that matches how the process genuinely runs, not an idealized version of it.

Pipefy and the tools around it

Tools we commonly connect with Pipefy through its API, webhooks and automation platforms. What is possible depends on your plan and setup.

Pipefy solutions we build

See all 70+ automation examples →

Features

5 guides

Integrations

23 guides

Comparisons

7 guides

Pipefy FAQ

8 questions
Does Pipefy include AI capabilities to assist with workflow design or task routing?

Pipefy has been layering AI-assisted features onto its core Kanban process engine, such as suggesting or auto-filling card field values based on prior cards and using generative AI to help draft process documentation or automation logic, rather than replacing the phase-based workflow itself. The underlying process still runs on pipes, phases, and cards; AI features sit on top to reduce manual data entry and setup time.

Practical Details

Because Pipefy processes are structured, with defined fields per phase and required-field validation before a card advances, AI suggestions have a fairly narrow, well-defined job: filling in a field, summarizing a card's history, or proposing an automation rule, rather than open-ended chat over unstructured data. Treat these as accelerators for building and maintaining pipes, not as a replacement for someone owning the process design.

Actionable Considerations

  1. Use AI-assisted suggestions to speed up field entry and automation setup, but review them against your actual process rules.
  2. Keep phase-level required-field validation in place even when AI is pre-filling data, so incomplete cards still cannot advance.
  3. Check Pipefy's current plan tiers for which AI features are included, since availability has changed as the product evolves.
How does Pipefy support growth in teams, processes, and data volume?

Pipefy scales by adding more pipes, more connected pipes, and more users across departments, with plan tiers differentiating on the number of pipes, automations, and API call volume available. Because each pipe is a self-contained process definition, organizations commonly scale by templating a working pipe and reusing it across similar teams, for example cloning an onboarding pipe for each regional HR team, rather than building one giant shared board.

Practical Details

Connected pipes let large organizations keep individual processes manageable in size while still linking them into longer end-to-end workflows, which tends to perform and stay organized better than one enormous pipe with dozens of phases. As card and field counts grow, dashboards and reports draw on that same pipe data, so keeping field naming and phase structures consistent across cloned pipes matters for reporting at scale.

Actionable Considerations

  1. Clone and template well-designed pipes for similar teams instead of building each one from scratch.
  2. Break very long end-to-end processes into multiple connected pipes rather than one pipe with excessive phases.
  3. Keep field names and phase structures consistent across similar pipes so cross-pipe reporting stays usable as you scale.
How quickly can a team start implementing Pipefy and what does setup involve?

Initial setup means building a pipe's phase structure to match an actual process -- intake, review, approval, done, for example -- defining the form fields captured when a card enters the first phase, and configuring field requirements per phase, like requiring an approval field to be filled before a card can move to the next stage, so the workflow enforces itself rather than relying on manual discipline.

Practical Detail

Pipefy's template library covers common processes -- procurement, employee onboarding, IT ticket intake -- as a faster starting point than building a pipe from a blank phase list, and most teams customize a template's phases and fields rather than using it unmodified. Assigning phase owners (who's responsible for moving cards out of a given phase) early avoids the common failure mode of cards stalling in a phase with no one accountable for acting on them.

Actionable considerations

  1. Start from a relevant template in Pipefy's library rather than building a pipe's phase structure from scratch.
  2. Set required fields per phase so the workflow enforces data completeness before a card can advance, rather than relying on manual review.
  3. Assign a clear owner per phase during setup, since cards commonly stall in phases with no accountable owner.
What engagement outcomes should I expect when adopting Pipefy, and how will value be realized?

Pipefy's value comes from making a business process visible as a Kanban board: each process, called a "pipe," has phases as columns, and each request or item, a "card," moves left to right as it is worked, with required fields gating movement between phases. Teams commonly build pipes for procurement requests, employee onboarding, IT service tickets, and similar structured, repeatable workflows.

Practical Details

A distinctive Pipefy feature is card aging: cards visually change color the longer they sit in a phase, giving managers an at-a-glance signal of which requests are stuck without needing a separate SLA report. Pipes can also be connected to one another, so a card completed in one pipe, like an approved purchase request, can automatically create a card in a downstream pipe, like a vendor-payment process, linking cross-department workflows.

Actionable Considerations

  1. Model each repeatable request type as its own pipe with clear phases rather than cramming multiple processes into one board.
  2. Use required fields per phase to stop cards from advancing until the necessary information is captured.
  3. Connect related pipes across departments so a completed card in one process can kick off the next one automatically.
What integrations and automation options does Pipefy support?

Pipefy exposes a GraphQL API, rather than a traditional REST API, for reading and writing pipes, cards, and fields, which is a deliberate design choice that lets integrators request exactly the fields they need in a single call. Beyond the API, Pipefy connects to other tools through Zapier and native integrations for common systems used in HR, finance, and procurement workflows.

Practical Details

Inside a pipe, Pipefy's "Automate" feature lets you define conditional rules, so when a card enters a phase or a field changes, it can trigger an action like moving the card, sending an email, or creating a card in a connected pipe, without writing code. Public forms are another connectivity point: Pipefy can generate an external-facing form that creates a new card directly in a pipe, which is a common way to capture intake requests from people outside the organization.

Actionable Considerations

  1. Use the GraphQL API when you need precise, efficient data access rather than pulling full records via REST-style calls.
  2. Set up in-pipe automation rules for repetitive actions like notifications and card routing before reaching for external tools.
  3. Use public forms for external intake, such as vendor requests or support tickets, so requesters do not need a Pipefy login.
What kind of onboarding, training, and ongoing support does Pipefy offer?

Pipefy maintains a library of pre-built process templates across common functions, including HR onboarding, procurement, IT service desk, and sales operations, that teams typically start from and adapt rather than designing a pipe from a blank board. This template-first approach is a big part of Pipefy's onboarding path, since it shows a working example of phases, fields, and automations for a given use case.

Practical Details

Documentation covers both the end-user experience, working cards and moving them through phases, and the builder experience, configuring fields, validations, and automations, which are different skill sets since Pipefy is meant to be usable by non-technical process owners, not just IT. Support channels and response expectations vary by plan tier, with more dedicated support typically reserved for higher-tier and enterprise customers.

Actionable Considerations

  1. Start from a Pipefy template close to your process instead of designing phases and fields from scratch.
  2. Train both card-fillers, the end users, and pipe builders separately, since Pipefy's builder tools go well beyond basic card use.
  3. Check your plan's support tier before assuming a dedicated response time for urgent configuration issues.
What security controls and permissions management does Pipefy provide?

Pipefy controls access at the organization, pipe, and card level: administrators assign members roles, such as member or admin, and can restrict which pipes a given member can see or edit, while individual cards can be further restricted so only assigned people or specific roles can view sensitive ones. Public forms deliberately expose only a card-creation view to outside submitters, without giving them visibility into the rest of the pipe.

Practical Details

Because pipes often carry sensitive process data, such as vendor payment details or HR onboarding information, Pipefy's permission model is applied per pipe rather than being all-or-nothing account-wide, so a finance pipe can be locked down separately from a marketing request pipe. Enterprise plans add options like single sign-on for centralized login management across larger organizations.

Actionable Considerations

  1. Set pipe-level permissions individually rather than assuming one access policy fits every process in your account.
  2. Restrict card visibility on pipes carrying sensitive data, such as HR or finance requests.
  3. Use public forms only for the specific fields external submitters need, since anything on the form is visible to them.
What value does Pipefy deliver for my team and governance requirements?

Pipefy's core building block is the pipe, a Kanban-style visual workflow with defined phases a card moves through, paired with a form that captures structured data when a card is created, and database-like tables, Pipefy's Database feature, for reference data that pipes can pull from or write to.

Practical Detail

It's positioned as a no-code process and workflow tool, closer to a configurable BPM (business process management) platform than a generic project-management board, letting non-technical process owners model approval chains, intake forms, and handoffs between teams without engineering involvement. Automations (trigger-condition-action rules) can move a card between phases, send a notification, or update a connected Database record when specific conditions are met.

Actionable considerations

  1. Model a process as phases in a pipe first, then layer in forms and automations, rather than starting with automation rules before the phase structure is settled.
  2. Use Pipefy's Database feature for reference data (like a vendor list or approval matrix) that multiple pipes need to reference consistently.
  3. Evaluate Pipefy specifically for structured, repeatable business processes with approvals and handoffs, not as a general-purpose task board.

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