ROI and Business Case

[YourCompany.com] · Finance Department · Prepared by FullSpec · [Today's Date]

This document makes the financial case for automating your bank reconciliation process. It translates the time your bookkeeper currently spends into a dollar cost, shows what that number drops to after automation, and sets out exactly what you pay, what you save, and how quickly the investment returns. The FullSpec team handles the entire build and test cycle. Your role is to review the numbers here, confirm the assumptions that apply to your business, and approve the go-ahead.

01What the current process is costing you

The three highest-friction steps in your current process:

• Match Transactions Manually (60 min/cycle): The bookkeeper works row by row through hundreds of bank lines against ledger entries in a separate spreadsheet tab. Any mis-sorted column or duplicate row causes a missed match that carries silently into the next period. This single step accounts for more than a quarter of total reconciliation time and is the leading source of downstream errors.
• Identify Unmatched Items (20 min/cycle): After manual matching, the bookkeeper must scan both sheets for any line left untagged, copy those rows into a separate exceptions tab, and add enough context for investigation. Because this is done by eye, items are regularly missed on the first pass, requiring a second review pass before the exceptions list can be trusted.
• Investigate Discrepancies (30 min/cycle): Each unmatched transaction requires the bookkeeper to trace its origin, often by emailing a colleague or the finance lead and waiting for a reply. Responses are inconsistent, the thread is hard to audit later, and unresolved exceptions routinely sit open until the following cycle, pushing month-end close out by two or more days.

02What changes after automation

After the automation is live, the Bank Feed Sync Agent pulls new transactions from your bank via Plaid and fetches unreconciled ledger entries from Xero on a set schedule, without anyone logging in or downloading a file. The Matching and Exceptions Agent then applies rule-based and fuzzy matching logic, posts confirmed pairs back to Xero automatically, and writes only the genuine exceptions to a pre-filled Google Sheet with full context already attached. The Notifications and Close Agent fires a Slack summary to the finance lead and posts the period close record to Xero once exceptions are cleared. The one decision point that stays with your team is reviewing and resolving the exceptions in Google Sheets, which typically takes under twenty minutes per cycle. Every other step is handled by the automation.

03Before and after comparison

04Tool costs

05Net ROI summary

06Assumptions log

These numbers are built around your current confirmed volume of approximately 400 transactions per month and a bookkeeper rate of $60 per hour. If either of those figures changes, the savings scale directly with them. At 600 transactions per month the exceptions review time increases modestly but the automated matching workload stays flat, so the saving grows. If your bookkeeper rate is higher than $60 per hour, every hour saved is worth more and the payback period shortens accordingly. If you add a second bank account to the reconciliation scope, the FullSpec team can extend the same automation to cover it with minimal additional build time, and the annual saving per account added follows the same curve. The tool costs are largely fixed regardless of volume, so margin improves as the business scales. FullSpec can rerun this model with your updated figures at any point before or after go-live.