AI-Powered Bank
Reconciliation
How a mid-sized business reduced reconciliation time from 15 hours to under 1 hour per account — with AI-driven automation built on top of NetSuite.
The Challenge
Month-end close was taking too long. Errors were slipping through. And leadership didn't have clear cash numbers when decisions had to be made.
A mid-sized business with multiple locations and bank accounts relied on a fully manual bank reconciliation process in NetSuite. Finance teams downloaded bank statements, exported NetSuite data, and matched transactions line by line in spreadsheets.
Each bank account required 10–15 hours every month. Manual work led to 5–10% matching errors, and many issues were only discovered during audits. When transaction volume increased during peak periods, delays and risk increased even further.
At its core, this wasn't an accounting issue — it was a data problem. The company already had all the information it needed. Thousands of transactions. Dates. Amounts. Descriptions. But that data lived in separate systems and was being reviewed by humans one row at a time.
How We Automated It with AI
We designed and implemented an automated bank reconciliation and cash verification platform that connects directly to NetSuite and live bank data.
Instead of people reviewing transactions one by one, the system analyzes large volumes of transaction data automatically. Using AI trained on historical patterns, it compares amounts, timing, descriptions, and vendor behavior to identify matches at scale.
Over 95% of transactions were matched automatically. Only unclear items were flagged, ranked by confidence, and presented with suggested matches — allowing reviewers to focus on exceptions instead of raw data.
Side-by-Side Views
Bank and NetSuite records displayed together with instant match preview
One-Click Approvals
Review and approve suggested matches with a single click
Adjustable Tolerances
Set matching rules for timing gaps, rounding, and partial payments
Full Audit Trail
Every match, override, and comment tracked for compliance
Results
(was 10–15 hrs)
per account/year
match rate
per account
8-Week Rollout
Weeks 1–2
Secure integrations, data mapping, and validation
Weeks 3–4
AI matching logic and review dashboard
Weeks 5–6
Multi-account scaling and performance tuning
Weeks 7–8
Audit workflows, training, parallel testing, go-live
"Our bookkeeping used to be fully manual: bank recs in spreadsheets, constant correction entries. Ledger Summit moved those tasks into automated workflows. Now month-end prep is about 50% faster."
We automate manual reconciliation
with AI and custom tools
Book a free 30-minute call. Walk away with a workflow map, quick-win list, and a start-here plan — whether you work with us or not.
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