Less searching for matching entries
Prepare candidate matches and supporting references before the reviewer starts.
FROM POSSIBILITY TO PRACTICE
What it does for your business
Help finance match ledger entries with bank or other account records and investigate the differences. AI can propose matches, group possible timing differences and prepare explanations of items that remain open, while keeping the source records available for review.
The value it could bring
These are the improvements to evaluate against your current process. We agree the scope and test the value with your team.
Visible outstanding differences
Keep unmatched items and their owners in a clear queue rather than scattered spreadsheets.
A better close record
Retain the reviewed explanation and evidence behind each resolved difference.
EVIDENCE FROM OTHER BUSINESSES
Published ROI evidence
These named businesses implemented related workflows. Their deployment results provide a reference for the opportunity; they are not appana projects or a promised return for your business.
FORUM Credit Union
Trintech Frontier
140%Reported annual deployment ROI
Monthly certification preparation time per employee fell by 75%, and the expanded deployment generated $185,330 in average annual benefits.
What the figure covers
Expanded account-certification workflows and cloud migration, including software consolidation and avoided accounting hires. These are automation benefits, not AI-only returns.
Nucleus Research · Published 2026-07-30 · Source checked 2026-10-05
Read the published case study ↗How the returns are assessed
Reported annual ROI uses Nucleus Research’s method: average annual net benefit across three years divided by initial investment. Assessments can include indirect benefits and projected years. Figures cover the named deployment, including software, integration and process changes; they do not isolate AI’s contribution or predict your return.
Nucleus Research’s calculation method ↗How it works in your business
STEP 1
Bring in the right context
Select the relevant information from your accounting platform, ERP and document store. Agree what a good result looks like with your finance team, including the rules, examples and permissions the workflow needs.
STEP 2
Turn the task into a workflow
Reconcile ledgers and bank statements and flag breaks. Group related information, explain why an item needs attention and route it according to the thresholds and escalation rules agreed with the team.
STEP 3
Put the result to work
Present a prioritised queue or notification with evidence, an owner and a suggested next step. Your finance owner reviews exceptions and approves postings, payments or published figures.
AN EXAMPLE IN PRACTICE
At the close, a finance reviewer opens a queue of unmatched bank entries. Each item includes possible ledger matches, the amounts and dates behind them, and the reason it needs attention. The reviewer confirms matches and records the explanation for exceptions.
Start with a focused pilot
Choose one workflow, one team and a representative set of real tasks. We establish the current baseline, build the first version and review the results together before expanding it.
What we would start with
Depending on the scope, useful inputs include:
- Ledger and statement records for the same period
- Account and transaction reference rules
- Known timing differences and approved reconciliation examples
We agree access and integration with your accounting platform, ERP and document store as part of the design.
How we would measure value
- Time to complete a reconciliation
- Match accuracy and reviewer overrides
- Unresolved differences by age and amount
Your finance owner reviews exceptions and approves postings, payments or published figures.
LET’S BUILD IT TOGETHER
Could this help your business?
Tell us how your team works today and what you would like to improve. We’ll explore the opportunity, shape a practical first step and build it with you.
Talk to us about this use case