As JMP’s business scaled, so did the volume and complexity of its financial transactions. Lauren Aldrich, Controller, found herself managing a month-end close process built on Excel spreadsheets, manual reconciliations, and task tracking in JIRA that couldn’t keep up. The bank data flowing in from NetSuite’s native banking feature was unreliable. Duplicate transactions, missing data, and authentication failures made every close cycle a question mark.

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Lauren needed a faster month-end close, better data, and tools that lived inside NetSuite.

Manual recons, unreliable bank data, and no audit trail

JMP’s accounting team was doing everything in Excel. Reconciliations were built across multiple tabs, then the team had to figure out how to store a static copy nobody could edit after the fact. If something changed on the GL, there was no notification. You just had to know.

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• Excel-based reconciliations with no audit trail: The team built recons in spreadsheets, then struggled to maintain version control and prevent post-close edits

• Unreliable bank data from NetSuite’s native feature: For over two years, JMP used NetSuite’s built-in banking connection. Data was laggy, incomplete, and sometimes duplicated. The last six months were the worst, with periods of no data at all

• Duplicate transactions requiring manual cleanup: Imported bank data would duplicate what was already in the system, forcing the team to verify they had every transaction, but only once

• Task management in JIRA, disconnected from the close: JIRA couldn’t handle the step-by-step procedures their close required

• No confidence in the numbers: Post-close changes could happen without anyone knowing, leaving doubt about whether the books were final

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Finding NetClose, then NetCash

Lauren started with NetClose. She wanted a tool that could improve the month-end close process without being overly complex. Some solutions she evaluated were too heavy for JMP. Others were just connecting Excel files to the ERP, which didn’t solve the core problem.

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What set Netgain apart was that NetClose lives natively inside NetSuite. No data moving between systems, no integrations to maintain.

"If I don’t have to move it between systems, it can’t go wrong. NetClose and NetCash are pulling exactly what I have."

— Lauren Aldrich, Controller

The board-style task management felt familiar to a team already using JIRA, and the Netgain team made a strong impression during the evaluation. Lauren described them as approachable and responsive.

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NetCash came later. Lauren had evaluated it about a year prior, but the product was newer then. When JMP’s bank reconciliation process hit a breaking point (six months of missing or duplicated data from NetSuite’s native feature), she looked at NetCash again. It was exactly what the team needed.

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• NetClose adopted first: Brought close management, reconciliations, and task tracking into NetSuite with auto-reconciliation and auto-generated tasks

• NetCash adopted after the bank data crisis: Replaced NetSuite’s unreliable native banking connection with stable, daily bank feeds and automated matching

• Automation rules for journal entries: Auto-creates ~25 journal entries per month from bank data, eliminating a manual prep and approval cycle

• Configurable matching rules: Handles vendor-specific timing differences and auto-generates rounding entries for foreign currency variances

• Value within days: Both products delivered results almost immediately, with the team fully comfortable within two close cycles

3-day close and 46 hours back every month

The impact became clearest as JMP’s transaction volume grew. Lauren estimates that closing the books the old way, at current volume, would take at least 10 days. With NetClose and NetCash, JMP saves nearly 46 hours per month across six categories of automation.

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Before: Manual Excel reconciliations, unreliable bank data, JIRA-based task tracking, and constant second-guessing.

After: A 3-day close, automated bank reconciliation software matching 95% of transactions, and a team that trusts the data.

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• Close reduced from 10+ days to 3: The majority of close tasks wrap within three business days. A few items dependent on external timing extend to day four or five

• ~25 journal entries auto-posted monthly: NetCash creates journal entries from bank data automatically, saving 18.75 hours per month in prep and review time alone

• 12 hours per month saved on bank connectivity: Moving from NetSuite’s native bank feeds to NetCash’s Bank of America connector eliminated 3 hours per week of manual data wrangling

• 10 hours per month saved on matching: Automated daily matching rules handle custom date variances of 3-4 days between bank and GL, replacing 30 minutes of manual matching every business day

• 4 hours per month saved on currency reconciliation: NetCash lets the team reconcile in bank currency directly within NetSuite and do it more frequently, saving Lauren an hour of review each month

• 95% of bank transactions auto-matched: The remaining 5% are typically one-to-many matches that require a quick manual review

• Data the team trusts: Reconciliations are tied directly to the ledger. If something changes after a recon is completed, Lauren gets notified immediately

• Manager visibility without micromanaging: NetClose’s board gives managers a real-time view of task status without chasing team members for updates

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Lauren recently served as a reference for another company evaluating Netgain. Her advice: just do it. Both products delivered on their promises, and in an industry where vendors frequently overpromise, that consistency earned her trust.