Elevon in ForbesEvery Client's Consumed Hours Against Budget, Live
Elevon built an internal suite that reads every task and worklog and compiles a live report of hours consumed per client: by month, by area and by person, measured against the prepaid budget. The same tool the team uses on client work, pointed at itself.
Client
Elevon (internal)
Industry
Agencies & consultancies
Solution
Elevon Platform
Deployment
Production
Every task, every worklog, every client. Counted, attributed, and current.
The Challenge
When a team delivers against a prepaid budget, the most important number is also the hardest to keep current: how many hours have actually been consumed, and on what. The raw data exists, every task carries a worklog, but it is scattered across dozens of issues, areas and people.
Answering "where are we against the budget" by hand means exporting worklogs, grouping them by month, by area and by person, summing man-days, and checking it against the milestone. By the time the spreadsheet is done it is already out of date, and nobody enjoys rebuilding it every week.
Without a current view, two expensive things happen quietly: the team overshoots the prepaid scope without noticing, or it under-bills genuine commercial work because no one tallied it.
Why Elevon
Reads every worklog at the source
The suite pulls tasks and time logs straight from the tracker, so the report is built on the same data the team already records, no parallel timesheet, no manual export.
Aggregated three ways, automatically
Man-days are rolled up by month, by area or use-case, and by person, with shared activities split evenly. The same hours, sliced the way a manager actually needs to read them.
Budget burn-down and an AI summary
The report tracks progress toward the prepaid milestone, flags commercial work beyond it, and an AI agent writes a short monthly summary of where the time went. Billing state is obvious at a glance.
“We always had the worklogs. What we never had was the answer, in one place and up to date, of how much of the budget is already gone.”
The Rollout
The suite reads tasks and worklogs from the tracker, normalizes them into man-days, and aggregates the same hours three ways: a monthly trend, a breakdown by area or use-case, and a per-person table. It checks the total against the prepaid milestone, separates commercial overage, and an AI agent writes the monthly summary. A renderer assembles it all into one report page.
It runs on a schedule, so the consumption view is always current, and the same suite works for any client engagement by pointing it at that project's tasks.
What this looks like in practice
A manager opens one page and sees: total man-days consumed and how that tracks against the prepaid milestone, a monthly bar chart of hours, where the time went by area, who logged what by month, and a written summary of the latest month. The spreadsheet that used to take an afternoon is now just there, current.
The suite
Source
AI agents
Output
Illustrative reconstruction of the production suite.
Hours consumption report
Real output format, recreated with blind sample data.
The Results
A live view of hours consumed per client, always current
The same hours aggregated by month, by area and by person
Clear burn-down against the prepaid milestone, with commercial overage separated
An AI-written monthly summary of where the time went
Manual timesheet aggregation removed from the team's week
Always on
current consumption view
3 cuts
month · area · person
0 spreadsheets
assembled by hand
How we estimate: replacing recurring manual worklog exports and roll-ups with a scheduled report removes the weekly assembly effort and protects both prepaid scope and billable overage. Replace with the team's real worklog volume to finalize.
“We used it on client work first. Pointing it at our own hours was the obvious next step, and now we never wonder where a budget stands.”
Why It Worked
Time reporting fails for a simple reason: the data is already logged, but turning it into an answer is manual, so it only happens when someone finds the time, which is exactly when budgets are most at risk of slipping.
The suite closed the gap by reading the worklogs the team already keeps and doing the aggregation and the write-up automatically. Because it reads at the source and runs on a schedule, the consumption view is never stale and never competes with delivery work.
And because it is the same platform Elevon uses on client engagements, turning it inward cost almost nothing. The team simply pointed an existing capability at its own tasks, and got budget clarity as a result.
Want a similar transformation in your organization?
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