Emilia Gette serves as a marketing associate at Workast, specializing in crafting innovative strategies to engage with the audience. With a focus on creativity and attention to detail, she contributes to driving impactful results across various marketing channels.
Product teams receive work from many places: customer feedback, bug reports, Slack conversations, forms, meetings, and internal requests. The difficult part is not capturing every idea. It is consistently deciding what should happen next.
AI workflows can analyze each task and automatically assign it, add tags, set deadlines, create subtasks, move it to the right list, or notify the appropriate teammate. Instead of configuring dozens of rigid rules, teams can describe the process in plain language.
Here are seven AI workflow templates product teams can adapt to reduce manual organization and keep work moving. The names and roles used in the examples are fictional; replace them with the corresponding members of your own team when creating the workflows.
Feature requests often arrive with different levels of detail and urgency. This workflow reviews each new request, categorizes it, and routes it to the appropriate person.
When a task is created in the Product Requests Space, analyze its summary and description. If it relates to an existing feature, add the tag “Feature Improvement.” If it describes new functionality, add the tag “New Feature.” Assign all requests to @Maya (Product Manager) and move them to the “Needs Review” list.
This creates a consistent intake process whether requests originate from a form, Slack message, forwarded email, or another connected source. Workast can turn these different submissions into tasks before the AI Workflow organizes them.
A bug report should not receive the same response regardless of its impact. An issue preventing users from logging in requires different treatment from a minor visual inconsistency.
When a task is created in the Bug Reports Space, analyze the task description. If it mentions that users cannot log in, complete a payment, or access the product, add the tag “Critical,” assign it to @Leo (Engineering Lead), and set the due date for today. For other bugs, add the tag “Standard Bug,” assign the task to @Nina (QA Manager), and set the due date for three business days after creation.
To improve accuracy, teams can capture requests with a form containing fields for the affected feature, steps to reproduce, expected result, and actual result. Each submission becomes a task that the workflow can process automatically.
Once a feature is approved, someone usually has to recreate the same preparation checklist. An AI workflow can generate those subtasks when a team member updates the task.
When a main task is updated and a team member adds the tag “Approved Feature,” create these subtasks: Define user problem, Write acceptance criteria, Prepare initial design, Review technical requirements, Confirm analytics events, and Schedule final approval. Assign each new subtask to @Maya (Product Manager) unless another assignee is specified.
Because workflows created by another automation do not trigger additional workflows, this template should respond to a change made directly by a team member, such as adding the approval tag.
Product tasks can remain open because someone is waiting for information or a decision. A scheduled workflow can find tasks that have not been updated recently and request an update.
Every weekday at 9:00 AM, search the Product Space for incomplete tasks that have not been updated in seven days. Add a comment asking the assignee to confirm the current status and send the assignee a Slack message with a link to the task.
This makes follow-up consistent without requiring Maya, the Product Manager, to manually review every open item.
Completing development often starts a new stage of work involving testing, documentation, marketing, or customer communication. A completion workflow can create and organize that next step.
When a main task with the tag “Product Development” is completed, create a new task called “Prepare launch for [completed task summary].” Add it to the “Launch Preparation” list, assign it to @Sofia (Product Marketing Manager), and create subtasks for Final QA review, Update help documentation, Prepare customer announcement, and Confirm release date.
AI Workflows can create new tasks and subtasks when another task is completed. This keeps the launch handoff connected to actual progress rather than relying on someone to remember the next step.
Product managers often spend time collecting updates before weekly meetings. A scheduled workflow can search for the relevant tasks and deliver a summary through Slack or email.
Every Friday at 3:00 PM, search the Product Space for tasks completed during the current week, overdue tasks, and incomplete tasks due within the next seven days. Send a summary to the #product-updates Slack channel, grouped into Completed, Overdue, and Coming Next.
This gives Maya and the rest of the product team a consistent weekly overview without requiring someone to build the report manually. The workflow can search and summarize information already stored in Workast, but it cannot independently pull information from external platforms. Updates from other tools must first be added to Workast manually or through an integration.
A productive meeting can still lead to missed work when action items are left inside notes. With an AI Meetings tool, recorded meetings can generate summaries and tasks inside the associated Space. Those tasks can then trigger an existing AI Workflow.
When a task is created from a product meeting, analyze its summary and description. If it relates to engineering, assign it to @Leo (Engineering Lead) and move it to the “Technical Review” list. If it relates to research, assign it to @Emma (UX Researcher). If it relates to a launch, assign it to @Sofia (Product Marketing Manager) and add the tag “Launch.”
Tasks created from meetings are regular Workast tasks, so workflows can assign teammates, apply tags, create subtasks, set due dates, or move them between lists.
Open the AI Workflows section in the Workast web app and select the Space where the automation should run. Choose the appropriate trigger—when a task is created, updated, completed, or on a schedule—and describe the conditions and actions in plain language.
Use @ to reference existing teammates, Spaces, tags, lists, or custom fields. For example, replace @Maya with the actual Product Manager in your Workast account. The role in parentheses is included in these templates only to explain each person’s responsibility and does not need to be added to the final workflow.
Clear instructions such as “If this happens, then do this” help the workflow interpret the process accurately. You can review each workflow’s activity, edit its instructions, and see which actions it has performed.
Start with one repetitive product process rather than trying to automate the entire product lifecycle. Once the first workflow is reliable, add others where your team still spends time sorting requests, rebuilding checklists, or chasing updates.
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