Fee Burn & Project Profitability

Q: Can the automation handle projects with multiple billing phases or retainers?

Yes, the automation matches revenue entries to project codes and reconciles them against labour and cost data, regardless of billing structure. Complex billing scenarios are flagged for review if they do not match expected patterns.

Q: Will the automation work with our existing accounting and timesheet systems?

The automation integrates with mainstream accounting and timesheet platforms. Your specific tools are assessed during setup to ensure data can be reliably extracted and matched.

Q: How do we define which projects are at-risk?

You set margin thresholds and fee burn limits based on your studio's standards. The automation then flags any project that falls below those thresholds, and you can adjust rules anytime.

Q: What happens to our historical profitability data?

Historical data is preserved and organized in a central location, making it easy to run trend analysis and compare project performance over time. No data is lost during the transition.

Tracking hours spent against fee by stage to catch overruns while they can still be fixed.

224 hrs

Manual time identified

Companies have mapped

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About This Automation

Fee burn and project profitability tracking requires finance teams to manually gather timesheet data, invoices, and costs from multiple systems each month. Manual reconciliation is slow, error-prone, and delays identification of at-risk projects.

Automation pulls labour, materials, and revenue data from timesheets and accounting software, reconciles entries automatically, and flags projects where margin is below threshold. Results are available instantly instead of days after period close.

Key features:

Extract labour hours, material costs, and subcontractor expenses from source systems automatically

Match revenue entries to project codes and reconcile against timesheet and cost data

Flag duplicate invoices, missing timesheets, and untagged costs for human review

Identify at-risk projects where margin is below threshold or fee burn is accelerating

Deliver profitability summary and alerts to project managers in real time

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Invoice and cost matching delays Invoices arrive out of sync with project timelines, requiring manual search and cross-reference.	80%
2	Spreadsheet formula inconsistency Manual formulas vary across projects, leading to calculation errors and audit risk.	67%
3	Duplicate and missing entry detection Manual checks for duplicates and missing timesheets require back-and-forth with project teams.	53%
4	Delayed at-risk project identification Visual inspection of spreadsheets delays flagging of margin erosion and fee burn acceleration.	40%
5	Poor version control and archival Historical profitability data is scattered across shared drives and email, making trend analysis difficult.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

9.3/ 10

AI Fit Rating™

8.9/ 10

Automation Lift Index™

8.5/ 10

Hidden Overhead™

7.3/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Weekly Profitability Review Scheduledtrigger

Automation runs on a fixed schedule (e.g. every Monday morning) or is triggered on-demand by a project manager command.

2. Pull Labour Costs

Automation queries API to fetch all timesheet entries for the current period, grouped by project and resource.

3. Fetch Materials and Subcontractor Costs from QuickBooks

Automation retrieves all bills and expenses tagged with project codes, categorized by type (materials, subcontractor, other).

4. Retrieve Revenue from Invoices

Automation pulls all issued and pending invoices from QuickBooks, extracts revenue by project, and calculates revenue recognized to date.

5. Reconcile and Calculate Profitability

The automation matches labour, materials, and revenue entries to projects, resolves missing or duplicate records, and calculates margin, fee burn rate, and variance from budget.

6. Update Profitability Dashboard

Automation writes the reconciled profitability data to a live Google Sheet or database, with colour-coded risk flags for projects below margin threshold.

7. Send Alert to Project Managers

Automation sends a message or email to project managers and finance lead with a summary of profitability status, at-risk projects, and recommended actions.

Most popular tool stack used

— the complete tool combinations companies use

58% of companies

28% of companies

13% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

508 hrsIdentified

4Mapped

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Frequently asked questions

Everything you need to know before mapping this process.

What happens if a timesheet or invoice is missing when the automation runs?

The automation flags missing entries and untagged costs for human review, so nothing is overlooked. Your team can then investigate and add the missing data before final profitability is locked in.

Can the automation handle projects with multiple billing phases or retainers?

Will the automation work with our existing accounting and timesheet systems?

How do we define which projects are at-risk?

What happens to our historical profitability data?

View more FAQs

Process pain:9.3/10

Mapped by:7 Companies

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Page updated 10 August 2026