Estimate the hours your team gets back.
Three questions about your week. The estimate updates as you answer.
Hours your team gets back each week
Projected70 hours
From 103 hours to 33 hours a week across 7 jobs.
3,640 hours back a year.
Projected for 1,385 transactions a week, the volume in one published automation case. Client reports assume 45 accounts. Add yours in question 3.
Add your weekly transactions to see your hours back.
- At APQC's realized median of 20 percent, the same agency gets 21h back.
- 46 of the 70 hours back rest on software providers' own savings claims.
Projected from published industry figures. See how we estimate it.
Where your team's hours go today.
ProjectedEach job you ticked, ranked by the hours it gives back.
- ARC report and IAR matchStart here28h 50m back34 hours 30 minutes today, 5 hours 40 minutes after setup.
The lowest published case for this job is 2h a week today.
- Refunds15h 00m back17 hours 20 minutes today, 2 hours 20 minutes after setup.
These hours come back through automated refund and exchange tools in the GDS. Agencies already running those tools have this saving today.
- Accounting inbox10h 20m back25 hours 50 minutes today, 15 hours 30 minutes after setup.
Built from the hours on the other jobs you ticked.
- Unused credits7h 45m back9 hours 15 minutes today, 1 hour 30 minutes after setup.
- Client reports3h 25m back6 hours 55 minutes today, 3 hours 30 minutes after setup.
From 45 accounts a month.
- Commission2h 25m back3 hours 40 minutes today, 1 hour 15 minutes after setup.
From 8 statements a month.
- Debit memos2h 20m back5 hours 55 minutes today, 3 hours 35 minutes after setup.
- All 7 jobs70h 05m back103 hours 25 minutes today, 33 hours 20 minutes after setup.
Rows round to 5 minutes and the headline to whole hours, so the two totals can differ by about an hour.
Projected from published industry figures. See how we estimate it.
Put your own cost on the hours.
Add what one hour of your team's time costs. You see the value of the hours back in your own numbers.
Your number stays on this page and out of the link.
Add your cost per hour to see the value of the hours back.
Your hourly cost times the projected hours back. You enter the cost.
Projected from published industry figures. See how we estimate it.
More from the same week.
Counts behind the estimate, at this volume.
Projected from published industry figures. See how we estimate it.
How we estimate it.
Every figure on this page is projected from published industry figures, most of them from software providers. Each job below shows its inputs and sources, with the arithmetic for your answers.
Your answers
Shown for 1,385 transactions a week until your answers give an estimate.
- Weekly transactions
- 1,385
- Jobs ticked
- 7 of 7
- Report accounts
- 45, from the published figures
- Commission statements a month
- 8, from the published figures
Figures are in hours a week, to two decimals.
The jobs
ARC report and IAR match
28h 50m back
Minutes saved per transaction: 1.25, from one published automation case with 1,500 hours a year over 72,000 transactions.
Share of the time that comes back: 83.6 percent, from a bank's published reconciliation study. Treat it as a ceiling.
The lowest published case for this job is 2h a week. Trams has a built-in IAR reconciliation, so a Trams agency may sit near that case.
Back = 1,385 × 1.25 ÷ 60 = 28.85. Before = 28.85 × 426.45 ÷ 356.45 = 34.52.
Bounds: 1h 30m to 32h 00m back a week, from the lowest and highest published inputs.
Low case: Before = 2.00, from a published case. Back = 1.50.
High case: Before = 40.00, one full-time person. Back at 80 percent = 32.00.
- Sources
- Accelirate (2024). Company's own claim.
- Bank reconciliation paper in CEUR Workshop Proceedings (2025). Independent.
- Peakflo (2026). Company's own claim.
- Grasp Technologies (2024). Company's own claim.
- Grasp Technologies (2026). Company's own claim.
- Trams user manual (undated). Company's own claim.
Debit memos
2h 20m back
One debit memo for every 344 tickets, from ARC. Each memo takes 1.472 hours of staff time, from published figures.
Share that comes back: 40 percent.
Before = 1,385 ÷ 344 × 1.472 = 5.93. Back at 40 percent = 2.37.
Bounds: 0h 20m to 6h 50m back a week, from the lowest and highest published inputs.
Low case: Before = 1,385 ÷ 344 × 1.0631 = 4.28. Back at 8 percent = 0.34.
High case: Before = 1,385 ÷ 305 × 1.8883 = 8.57. Back at 80 percent = 6.86.
- Sources
- Host Agency Reviews (2018). Trade press.
- Travelweek (2018). Trade press.
- Airlines Reporting Corporation (2023). Independent.
- Built In job posting (read 2026). Independent.
- US Bureau of Labor Statistics (2026). Independent.
- WNS (2023). Company's own claim.
- Noy and Zhang in Science (2023). Independent.
- Anthropic (2025). Company's own claim.
Unused credits
7h 45m back
Unused credits: 2 percent of transactions, at 20 minutes each.
Share that comes back: 83.6 percent, from a bank's published reconciliation study. Treat it as a ceiling.
Before = 1,385 × 2% × 20 ÷ 60 = 9.23. Back = 9.23 × 356.45 ÷ 426.45 = 7.72.
Bounds: 0h 55m to 23h 05m back a week, from the lowest and highest published inputs.
Low case: Before = 1,385 × 1% × 20 ÷ 60 = 4.62. Back at 20 percent = 0.92.
High case: Before = 1,385 × 5% × 20 ÷ 60 = 23.08. Back at 100 percent = 23.08.
Refunds
15h 00m back
Refunds: 5 percent of transactions, at 15 minutes each.
Share that comes back: 86.7 percent, from a GDS provider's published figure.
Before = 1,385 × 5% × 15 ÷ 60 = 17.31. Back = 17.31 × 13 ÷ 15 = 15.00.
Bounds: 4h 25m to 43h 50m back a week, from the lowest and highest published inputs.
Low case: Before = 1,385 × 5% × 7.68 ÷ 60 = 8.86. Back at 50 percent = 4.43.
High case: Before = 1,385 × 10% × 20 ÷ 60 = 46.17. Back at 95 percent = 43.86.
Commission
2h 25m back
Commission statements: 8 a month, at 2 hours each. Share that comes back: two-thirds.
Before = 8 × 2 × 12 ÷ 52 = 3.69. Back = 3.69 × 2 ÷ 3 = 2.46.
Bounds: 0h 45m to 13h 50m back a week, from the lowest and highest published inputs.
Low case: Before = 8 × 2 × 12 ÷ 52 = 3.69. Back at 20 percent = 0.74.
High case: Before = 20.00, from a published case. Back at 69.05 percent = 13.81.
Client reports
3h 25m back
Corporate accounts on monthly reports: 45, at 40 minutes each a month. Share that comes back: 50 percent.
Before = 45 × 40 ÷ 60 × 12 ÷ 52 = 6.92. Back at 50 percent = 3.46.
Bounds: 2h 55m to 5h 10m back a week, from the lowest and highest published inputs.
Low case: Back at 42 percent = 2.91.
High case: Back at 75 percent = 5.19.
Accounting inbox
10h 20m back
The inbox takes a quarter of the accounting team's time across these jobs. Share that comes back: 40 percent.
Before = 77.61 × 0.25 ÷ 0.75 = 25.87. Back at 40 percent = 10.35.
Bounds: 0h 40m to 26h 45m back a week, from the lowest and highest published inputs.
Low case: Before = 30.38 × 0.134 ÷ 0.866 = 4.70. Back at 15 percent = 0.71.
High case: Before = 144.75 × 0.269 ÷ 0.731 = 53.27. Back = 53.27 × 13.5 ÷ 26.9 = 26.73.
The range
Across your jobs, the published inputs give 11h to 152h back a week. These bounds come from the lowest and highest inputs. The estimate above uses the middle inputs.
Low case: 1.50 + 0.34 + 0.92 + 4.43 + 0.74 + 2.91 + 0.71 = 11.55 back. High case: 32.00 + 6.86 + 23.08 + 43.86 + 13.81 + 5.19 + 26.73 = 151.54 back.
Two checks on the number
At APQC's realized median of 20 percent, the same agency gets 21h back.
Realized back = 103.48 × 20% = 20.70.
The middle share of hours back, 67.9 percent, is 3.4 times that median.
46 of the 70 hours back rest on software providers' own savings claims.
What the estimate counts
Exchange reissue stays with your travel agents, so this estimate leaves it out.
The estimate covers the operations jobs. Sales and marketing work, such as inquiry follow-up, gets timed in the Audit with your team.
Client reports and commission hold at 45 accounts and 8 statements a month, the counts in the published figures. Your own counts replace them.
This profile leans corporate, with 45 monthly report clients and a corporate change rate.
The published volumes count different things. The 565 figure counts passenger trips, which comes to about 340 tickets. The 1,385 case counts transactions of every type, so it can run above a ticket count.
The 565 figure is ARC's published figure for a location, online agencies included, so online agencies and the largest TMCs pull it up.
The 2 percent credit rate comes from credits used, read here as credits created, so it works as a floor.
Some jobs share work, such as refunds inside the ARC report. The estimate counts each job in full, so the total can run high.
Totals come from unrounded rows, so a step you redo by hand can differ by 0.01.
A year here is 52 working weeks.
Studies across whole jobs find less
Published studies of AI use across whole jobs find 2 to 3 percent of hours saved in office and finance work. Those studies average everyday AI use across every task in a job.
A field study of accountants using AI found 8.5 percent less time spent on processing work.
In one field study, accountants using AI served 55 percent more clients a week. That study is observational.
Source: Stanford and MIT study via CFO Dive (2025). Trade press.
This estimate counts named jobs, each set up from start to finish.
Your measured week replaces it
The Audit starts by timing each job with your team. Your measured week then replaces this projection.
See how we set it upSources
- Accelirate (2024). Company's own claim.
- Bank reconciliation paper in CEUR Workshop Proceedings (2025). Independent.
- Peakflo (2026). Company's own claim.
- Grasp Technologies (2024). Company's own claim.
- Grasp Technologies (2026). Company's own claim.
- Host Agency Reviews (2018). Trade press.
- Travelweek (2018). Trade press.
- Airlines Reporting Corporation (2023). Independent.
- Built In job posting (read 2026). Independent.
- US Bureau of Labor Statistics (2026). Independent.
- WNS (2023). Company's own claim.
- Noy and Zhang in Science (2023). Independent.
- Anthropic (2025). Company's own claim.
- TripActions data via Travolution (2021). Company's own claim.
- Cornerstone Information Systems (2019). Company's own claim.
- Magnatech case study (2024). Company's own claim.
- APQC via CFO.com (2026). Independent.
- Amadeus (2018). Company's own claim.
- UiPath customer story (read 2026). Company's own claim.
- Amadeus (2016). Company's own claim.
- Sabre Travel Network Indonesia (read 2026). Company's own claim.
- IGT Solutions on UiPath Marketplace (2018). Company's own claim.
- Cybage (2025). Company's own claim.
- Travefy (2026). Company's own claim.
- Rezdy (2014). Company's own claim.
- Tramada via Travel Weekly Australia (2019). Company's own claim.
- APQC via CFO.com (2023). Independent.
- AFP and APQC via Vena Solutions (2023). Trade press.
- Association for Financial Professionals (2020). Independent.
- Ardent Partners via Bottomline (2024). Trade press.
- IOFM via APEX Analytix (2024). Trade press.
- European Business Magazine (2025). Company's own claim.
- SoftCo (2026). Company's own claim.
- Airlines Reporting Corporation (2026). Independent.
- Stanford and MIT study via CFO Dive (2025). Trade press.
- Stanford Graduate School of Business (2025). Independent.
- Federal Reserve Bank of St. Louis on office support jobs (2026). Independent.
- Federal Reserve Bank of St. Louis on business and finance jobs (2026). Independent.
- Trams user manual (undated). Company's own claim.
Hours model version 2, dated 16 October 2026.
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