Time Tracking & Billable Hours

Every billable minute gets captured and invoiced without staff chasing timesheets at the end of the month.

212 hrs
All data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Manual time identified
4
All data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Companies have mapped
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About This Automation

Time tracking and billable hours management requires finance teams to manually collect, classify, and invoice hours across multiple projects and clients. Manual classification and invoice entry are error-prone and consume significant weekly effort.

Automation classifies billable status based on project rules, builds invoice line items directly in accounting software, and reconciles hours against budgets. The result is faster invoicing, fewer errors, and better capture of billable time.

Key features:
Automatically classify time entries as billable or non-billable based on project metadata and internal rules
Flag entries with conflicting signals for human review before invoice creation
Transform validated time entries into properly formatted invoice line items in accounting software
Match billable hours to the correct client, project code, and rate without manual data entry
Reconcile hours against project budgets and alert finance to overages
Log non-billable hours separately for cost tracking and team productivity reporting

Top friction points when done manually

The issues teams report most often with this process

#Friction pointCompanies Report This
1
Manual billable classification
Finance manually reviews each entry against varying project rules, creating bottlenecks and inconsistent decisions.
80%
2
Invoice line item data entry
Hours and rates are manually typed into accounting software, introducing transcription errors and duplicate effort.
67%
3
Budget reconciliation delays
Manual checking of hours against project budgets slows invoice creation and delays overage alerts.
53%
4
Non-billable hour tracking
Separate manual logging of non-billable hours for reporting creates duplicate data entry and inconsistency.
40%
5
Invoice verification rework
Double-checking invoice totals and rates catches errors but adds time and delays client delivery.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more

Automation readiness

How well-suited this process is for automation

Process Pain Score™Manual classification and invoice entry consume 3+ hours weekly and introduce.
8.3/ 10
AI Fit Rating™Rule-based classification and data transformation are well-suited to automation.
8.6/ 10
Automation Lift Index™Automation reduces cycle time by 80%, improves accuracy, and recovers lost.
8.4/ 10
Hidden Overhead™Context switching between time tracking, spreadsheets, and accounting software.
7.1/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Time entries submitted in Toggltrigger

The automation detects when time entries are logged and marked as ready for billing.

2. Extract and validate time data

The automation pulls all time entries from Toggl, extracts project, client, and duration fields, and validates data completeness.

3. Classify billable status via the automation

The automation reviews project rules and entry metadata to automatically classify each entry as billable or non-billable, flagging ambiguous cases.

4. Check against project budget

The automation queries project budget limits and flags any entries that would exceed the approved hours.

5. Create invoice line items

Billable hours are automatically formatted and inserted as line items invoices with the correct client, project code, and rate.

6. Log non-billable hours to tracking sheet

Non-billable hours are automatically appended tracking log for cost and productivity reporting.

7. Send notification to Finance

A summary message is posted confirming invoice creation, billable hours total, and any flagged items requiring human review.

Most popular tool stack used

— the complete tool combinations companies use
2
28% of companies
3
15% of companies
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more

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

Every scenario checked and signed off before the automation goes live.

Recommended for you

Other high-impact processes teams commonly map alongside this one.

Frequently asked questions

Everything you need to know before mapping this process.

Automation flags ambiguous entries for human review before invoice creation, ensuring no billable hours are missed and no incorrect charges are sent to clients.

View more FAQs
212 hrs
Time identified
Process pain:8.3/10
Mapped by:4 Companies

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