Many finance teams use Jira to manage invoice approvals, purchase requests, budget reviews, CAPEX approvals, procurement workflows, and vendor onboarding. Jira is excellent at routing requests through the right people and maintaining an audit trail.
But there's one question Jira doesn't answer particularly well:
Where is the request actually spending its time?
Without that answer, delays remain hidden, SLAs are missed, and opportunities such as early-payment discounts can quietly disappear.
Jira is often associated with software development, but many organizations also use it to manage operational and financial processes. For finance teams, Jira provides a structured way to route requests through approval chains, maintain documentation, and keep a complete history of every decision.
Common finance workflows managed in Jira include:
A typical invoice approval workflow might look like this:
Invoice Received → GL Coding Review → Three-Way Match Verification → Manager Approval → Controller Approval → Payment Scheduled → Paid
Each approval, status change, attachment, and comment is stored in a single system, making Jira a practical solution for organizations that need accountability, traceability, and cross-functional collaboration.
However, as approval volumes increase, finance leaders often discover a visibility gap.
Jira shows where a request is now. It does not immediately show where the request spent most of its time. And that's where approval delays often hide.
Most approval workflows contain two very different types of time:
Finance teams often focus on improving work time. But in reality, wait time is usually the primary cause of delays.
According to industry benchmarks, manually processed invoices take an average of approximately 14.6 days to complete, while top-performing organizations can process them in about 3 days.
The difference is rarely due to reviewers working faster. It's because requests spend less time waiting between approval stages.
When approval cycles become longer than expected, teams often rely on assumptions.
Maybe controller approvals are taking too long. Maybe procurement is overloaded. Maybe invoices arrive incomplete.
The problem is that assumptions rarely identify the real bottleneck.
By analyzing average time spent in each workflow stage, finance teams can quickly identify where requests actually slow down.
For example:
|
Workflow Stage |
|
|
GL Coding Review |
4 hours |
|
Three-Way Match |
6 hours |
|
Manager Approval |
4.5 days |
|
Controller Approval |
12 hours |
Suddenly, the problem becomes obvious. The issue isn't invoice verification. The issue isn't controller capacity. The issue is the manager approval queue. Now the team knows exactly where to focus improvement efforts.
One of the most common reporting challenges in finance workflows is external waiting time.
An invoice may sit in:
Those delays often get mixed into overall approval metrics. As a result, finance teams appear slower than they actually are.
A better approach is to separate workflow stages into categories:
When these categories are reported separately, teams gain a much clearer understanding of what they can control and what they cannot.
This creates more accurate SLA reporting and more productive conversations with stakeholders.
Finance teams are frequently asked the same questions during audits:
The information already exists in Jira.
The challenge is turning workflow history into a timeline that auditors can easily review.
Instead of manually reconstructing approval paths from comments, emails, and status histories, finance teams can use status transition data to show:
This creates a clear, timestamped record that supports both internal reviews and external audits.
Most finance reporting is retrospective. A report tells you what happened last month. But by then, the SLA breach has already happened.
A more effective approach is to monitor approval queues while work is still in progress.
For example:
When approval time is visible in real time, finance managers can intervene before delays become problems.
Jira already records every status transition. The challenge is transforming that history into answers. This is where Time in Status by SaaSJet helps finance teams.
Instead of only seeing the current status of an issue, teams can analyze:
The result is a clearer understanding of where time is being lost and which process improvements actually make a difference.
Because when an approval takes 11 days, the most important question isn't whether the process is slow.
It's knowing exactly which stage made it slow.
Iryna Komarnitska_SaaSJet_
0 comments