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Reconcile Freshdesk time entries with Jira worklogs
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Cross-Connector

Check Freshdesk time against Jira worklogs before billing

For finance teams who ask their AI assistant to compare the time logged on a Freshdesk ticket with the worklogs on a Jira issue.

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Reconcile Freshdesk time entries with Jira worklogs
Compare the time logged on Freshdesk ticket 10482 with the worklogs on Jira issue SUP-214.
Freshdesk shows 6.5 hours and Jira shows 7.0 hours, a difference of 0.5 hours, or about 7 percent. - Freshdesk: 3 entries, 6.5 hours, 4.0 of them billable - Jira: 2 worklogs, 7.0 hours - Sam Patel: 3.0 hours in Freshdesk against 3.5 in Jira - Unmatched: a 2.0 hour Jira worklog on 12 Oct has no Freshdesk entry that day Want me to flag the name matches I was unsure about?
Freshdesk
Sample figures. Your results come from your own account.
freshdesk-get-time-entries
freshdesk-get-agents
jira-get-issue
jira-get-issue-worklog

On this page

The problem

The problem

The prompt

Who it's for

How it works

Tools used

Connector

Freshdesk

Freshdesk
Run it on your own Freshdesk data.

Connect Freshdesk, pick your AI tool and paste the prompt.

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The problem

Support time and engineering time never add up

Support logs time on a Freshdesk ticket and engineers log time on the linked Jira issue, and the totals should agree for billing. Different units, names and days mean checking them takes manual conversion and matching.

Without PopdockAI

  • Export time entries from the Freshdesk ticket
  • Export worklogs from the Jira issue
  • Convert units and match people by hand
  • Bill without knowing if they agree

With PopdockAI

  • Time entries with agent names and Jira worklogs are read
  • Both sides are converted to hours with the method stated
  • Totals and the difference are shown, agreeing within 5 percent
  • Unmatched entries are listed, and no time is changed

The prompt

Use this prompt

Copy it into any AI tool connected to PopdockAI. Swap the values in braces for your own.

Prompt
**Objective:** For Freshdesk ticket `{ticket-id}` and Jira issue `{issue-key}`, compare the time logged in each system.

**Step 1: Read the Freshdesk side (freshdesk server)**

Call `freshdesk-get-time-entries` with `ticket-id` = `{ticket-id}`. Keep `agent-id`, `time-spent`, `billable`, `executed-at`, `note`. Call `freshdesk-get-agents` with `agent-id` for each distinct agent to get names. If there are no entries, record zero time.

**Step 2: Read the Jira side (jira server)**

Call `jira-get-issue` with `issue-key` = `{issue-key}`. If nothing returns, stop and say the issue was not found. Then call `jira-get-issue-worklog` with `issue-id` = `{issue-key}`. If that returns nothing, say so, because the filter may expect the numeric issue id rather than the key. Keep `author-name`, `time-spent-in-seconds`, `started-date`, `comment`.

**Step 3: Report**

Total time in each system (convert both to hours), the difference, and a per-person table matching Freshdesk agent names to Jira `author-name` (match on full name, flag anything uncertain). List entries on one side with no counterpart on the same day. Note that Freshdesk `billable` has no Jira equivalent.

**Rules & Guidelines:**

* `freshdesk-get-time-entries` and `freshdesk-get-agents` are on the freshdesk server; `jira-get-issue` and `jira-get-issue-worklog` are on the jira server.
* Read only. Never call `freshdesk-add-time-entry`, `freshdesk-update-time-entry`, `freshdesk-delete-time-entry`, `jira-add-issue-worklog` or any other write tool.

**Validation:**

* Freshdesk `time-spent` is a duration string and Jira is in seconds; state the conversion you used.
* If the two totals differ by less than 5 percent, say they agree.

Who it's for

One answer, three teams that use it

Billing analysts

Check time before it goes on an invoice

Totals in hours from both systems, with the difference, tell you whether the work is ready to bill.

Do the hours on Freshdesk ticket 11230 agree with the worklogs on Jira issue ENG-512?

Support managers

See who logged what

A per person table shows each agent and engineer's time, with uncertain name matches flagged.

Break down time per person on Freshdesk ticket 9876 and Jira issue SUP-330.

Engineering managers

Find time logged on one side only

Entries with no counterpart on the same day show where logging habits differ between teams.

Which time entries on Freshdesk ticket 10482 have no Jira worklog on the same day for SUP-214?

How it works

What PopdockAI does when you ask

You give a ticket and an issue, and your AI assistant compares the time logged on each. It stops if the issue is not found and never edits an entry or worklog.

01

Ask

You give the Freshdesk ticket and the Jira issue.

Your AI tool

02

Read

It reads the time entries with agent names and the Jira worklogs.

freshdesk-get-time-entries
freshdesk-get-agents
jira-get-issue
jira-get-issue-worklog

03

Convert

It converts both sides to hours and says how.

No items found.

04

Report

You get totals, the difference, a per person table and entries with no match on the same day.

Your AI tool

What PopdockAI provides

The tools behind the answer

Ready made tools for Freshdesk and one secure connection to your AI tool. No code, no exports.

get-data

freshdesk-get-time-entries

Returns time entries from Freshdesk, with filters on the fields that matter. Read-only.
get-data

freshdesk-get-agents

Returns agents from Freshdesk, with filters on the fields that matter. Read-only.
get-data

jira-get-issue

Returns Jira issues with their project, issue type, status, assignee, reporter, dates and estimates. Filter by project, status, assignee or date range to pull a backlog, a sprint or one person's open work.
get-data

jira-get-issue-worklog

Returns time logged against Jira issues with the author, comment, start date and time spent. Filter by issue, author or date range to build a timesheet or a time report.
Read only.Nothing in Freshdesk Changes

This report is built from Get data tools only. PopdockAI applies the row, field and parameter rules your admin sets, and every query is written to the audit trail.

How Popdock AI secures your data

The outcome

Know support and engineering time agree before you bill

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Related use cases

More ways to put this data to work

All Ramp use cases

One prompt template with infinite possibilities.

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