R2R Close Acceleration

Module 2.3

Map your month-end close effort by activity, and see the time and days AI could take out of the close cycle.

Your team

Finance team size (R2R)

Average salary (incl. burden)

Close timeline

Current close duration (days)

Target close duration (days)

Close effort by activity (hours per close cycle)

Manual data entry — hours per closeAutomation potential: 40% (journal entry suggestions)

Manual data entry automation %

Reconciliations (bank/IC/BS) — hours per closeAutomation potential: 65% (automated bank rec + IC matching)

Reconciliations automation %

Variance analysis — hours per closeAutomation potential: 50%

Variance analysis automation %

Commentary & reporting — hours per closeAutomation potential: 45% (board pack commentary)

Commentary & reporting automation %

Review & approval — hours per closeAutomation potential: 20% (audit trail documentation)

Review & approval automation %

Adjustments & corrections — hours per closeAutomation potential: 55% (accruals automation)

Adjustments & corrections automation %

Investment

Year 1 investment (software + implementation + training + process redesign)Mid estimate from the spec's investment table — override with a vendor quote

Your result

Hours saved per close

£10,778

Annual value

Close days saved

100.2 months

Payback period

Your close could take 31 fewer hours each month, worth £10,778 a year
Close duration could drop from 7 to 4 days
Pays for itself in 100.2 months

Hours saved per year368