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Integration · Engineering and data

Jira + Finn.

Jira integration with Finn. Jira tracks work items, project plans, issues, and development progress.

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The work behind the connection

What you can do with Jira.

Jira tracks work items, project plans, issues, and development progress.

Finish a customer-reported bug

Finn carries a defect from the support report to a verified fix, keeping Jira and the customer conversation connected throughout.

Typically handled bySupport engineer and software developer

Starts when

A Zendesk case is confirmed as a product bug.

What Finn handles

  1. Gather the reproduction steps, customer impact, and affected version into a Jira issue linked to the support case.
  2. Use connected GitHub to implement and test the fix, then follow the required code review.
  3. Update Jira as the change moves through testing and its authorized release.
  4. Confirm the corrected behavior, send the resolution through Zendesk, and complete the issue with the release evidence.

The result

The customer case and Jira issue point to the verified fix and its delivered version.

Turn an accepted request into a delivered feature

Finn breaks down an agreed feature, completes its development work, and keeps its acceptance evidence together in Jira.

Typically handled byProduct engineer

Starts when

A product owner accepts a feature with a clear scope and acceptance criteria.

What Finn handles

  1. Record the implementation tasks, dependencies, and acceptance criteria under the feature issue.
  2. Complete the code and tests through connected GitHub, linking the pull requests to their Jira work.
  3. Resolve review feedback and track the approved release with the tasks' real progress.
  4. Verify the acceptance criteria and finish the issue with the release and documentation links.

The result

The feature is delivered with a traceable record from the product decision to the tested result.

Coordinate a cross-team launch

Finn maintains the launch work, completes the connected publishing and communication tasks, and follows remaining dependencies to their owners.

Typically handled byTechnical program manager

Starts when

A product launch has an agreed date, scope, and accountable teams.

What Finn handles

  1. Build the launch checklist in Jira with owners, due dates, and dependencies for engineering, documentation, and customer communication.
  2. Complete the assigned documentation through Confluence and release communication through the connected email or Slack system.
  3. Collect delivery evidence from the engineering and operational owners and update each issue's real state.
  4. Request decisions on blocked dependencies, apply the accepted plan changes, and publish the launch completion record.

The result

The launch checklist identifies completed work, the deliverables, and any explicitly accepted remaining items.

Complete an incident's permanent repair

Finn follows a service incident beyond recovery so the underlying engineering work gets completed and documented.

Typically handled byProblem manager and reliability engineer

Starts when

A resolved PagerDuty incident needs a permanent correction.

What Finn handles

  1. Create or update the Jira problem issue with the incident timeline, affected service, and evidence of the failure.
  2. Implement the corrective change through connected GitHub and test the failure scenario.
  3. Obtain the required release approval, follow deployment, and verify the correction through connected Datadog.
  4. Update the problem record, link the incident, and publish the revised operational instructions in Confluence.

The result

The incident has a completed corrective change and updated instructions, rather than an untracked follow-up.

Clear a blocked development dependency

Finn identifies what is preventing an assigned issue from moving and completes the concrete work that removes the block.

Typically handled byDelivery engineer

Starts when

An issue is marked blocked by another issue, missing information, or an unfinished technical task.

What Finn handles

  1. Read the linked dependency and conversations to identify the exact missing decision, document, or implementation.
  2. Collect the owner's decision or produce the needed code, test result, or Confluence document through the connected system.
  3. Record the completed dependency and update the relationship and issue status in Jira.
  4. Resume the dependent task and report its next completed milestone to the people following the issue.

The result

The blocking requirement is satisfied and the dependent work resumes with the supporting evidence attached.

Keep release tracking tied to shipped work

Finn reconciles the release's Jira work with engineering delivery and publishes an accurate account of what customers receive.

Typically handled byRelease coordinator

Starts when

A GitHub release finishes for a set of Jira issues.

What Finn handles

  1. Read the released changes, linked pull requests, and issues assigned to the delivery.
  2. Check which acceptance criteria are satisfied and separate unreleased or incomplete work from the shipped changes.
  3. Complete eligible Jira transitions and attach the release and validation evidence.
  4. Publish the customer-facing change summary through Confluence and notify the release channel in Slack.

The result

Jira and the release summary reflect the work that actually shipped, with unresolved items still visible.

Complete a technical documentation request

Finn researches the accepted behavior, writes the requested guide, and finishes the documentation issue with the published result.

Typically handled byTechnical writer

Starts when

A Jira issue requests a new operating guide, onboarding instruction, or product explanation.

What Finn handles

  1. Read the request and the linked code, product decisions, or existing Confluence material.
  2. Write the guide around the reader's task and verify its steps against the source system.
  3. Get the subject owner's review where the instructions change an operational procedure and apply the corrections.
  4. Publish the finished guide in connected Confluence and close the Jira issue with the page link.

The result

The requested guide is published and the issue records the reviewed instructions and their source.

Process product feedback into accountable work

Finn collects duplicate requests into one clear product decision and keeps the people who raised them informed of the outcome.

Typically handled byProduct operations coordinator

Starts when

Several support cases or employee requests ask for the same improvement.

What Finn handles

  1. Compare the requests with existing Jira work and connect matching reports to the owning issue.
  2. Summarize the common problem, affected users, and concrete examples for the product owner.
  3. Record the owner's scope and priority decision, then create or update the accepted implementation tasks.
  4. Tell requesters the decision through their connected support channels and track accepted work through its delivery updates.

The result

The feedback has an accountable decision, linked delivery work where accepted, and a response to its requesters.

Connection setup

Set up the connection around your work.

Contact Finn to discuss the records your workflow needs and the actions you want it to perform.

Your team chooses what Finn can access, what agents can change, and when a person must approve the work. The connection needs the appropriate account access and permissions from Jira.

The Finn platform

Finn Agents

Help customers. Work with your team. Finish the job.

Explore Agents

Finn Systems

Business apps for the work behind the conversation.

Explore Systems

Finn AI Gateway

Control connected AI apps, models, access, and spending.

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Meet Finn

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