Before
Two exports, one spreadsheet, and a person going line by line to find what doesn't match.
After
Records processed, exceptions flagged, run before the day starts. Ran today in 0:48.
Someone exports from two systems and compares them line by line to find what doesn't match. A daily run does the comparison and hands the team only the exceptions.
In short
Two systems that are supposed to agree, compared by hand in a spreadsheet to find the rows that do not. We build a scheduled job that pulls from both, matches records by your rules and produces only the exceptions with the reason attached. Plain automation, no AI. Usually a single-task automation, $7,500 to $25,000. First deliverable running within 14 days.
Two systems are supposed to agree: the bank and the ledger, the orders and the shipments, the vendor's statement and your records. Someone exports both, lines them up in a spreadsheet, and hunts for the differences. In the companies we meet this happens daily or weekly, and it takes hours each time.
Most of the rows match. The handful that do not are the whole point, and finding them by eye is slow and unreliable.
Call a fully loaded employee $45,000 a year, as an illustration. Reconciliation typically takes 10 to 15 hours a week. Fifteen hours is more than a third of a person, spent confirming that things match.
Typical figures, using $45,000 as an illustrative fully loaded cost. Your numbers go in the calculator below. If your version is a couple of hours a week, that still counts. Or open these figures in the calculator and change them.
Step 1
We write down the matching rules the person already uses: which fields, what tolerance, what counts as the same record.
Step 2
We pull from both systems by connection, export or, where needed, their screens.
Step 3
The job runs on a schedule, matches the records and logs what matched.
Step 4
Each exception is listed with why: missing on one side, different amount, different date.
We build a scheduled job that pulls from both systems, matches the records by the rules you already use, and produces the list of exceptions. Matched records are logged and left alone.
Each exception comes with why it did not match: missing on one side, different amount, different date. The person reviews that list and nothing else. When a rule needs a judgment call, that stays with them.
Plain automation handles most repetitive work. We use newer tools only where they clearly earn their place, and we tell you when we do. Reconciliation does not need them.
What the person gets back is the comparison. They start at the exceptions instead of at row one.
Plain automation or AI?
This is plain automation. No AI. Matching records by rule is exactly what software is for.
What business automation actually costsBefore
Two exports, one spreadsheet, and a person going line by line to find what doesn't match.
After
Records processed, exceptions flagged, run before the day starts. Ran today in 0:48.
Real work from real clients, with the names left out. What matters is the shape of the problem, and how often we see it.
This kind of project
Sized to the rules and the exports
Two clean exports and a clear matching rule is a focused project. It grows when records match on fuzzy fields, when there are many kinds of exception, or when one system has no export and has to be read from its screens. We look at both sides before we quote.
All prices and the guaranteeWhat business automation actually costs
Set to the typical figures for this task. Change them to match your team, however small the number.
Hours a week, times the people doing it, at whatever a person costs you. $45,000 a year is an illustration; set it to your own figure.
People doing this work
1
Hours each, per week
Half an hour counts. 40 is a full week.
15
Fully loaded cost per person, per year
Salary, benefits, taxes, overhead. $45,000 is an illustration; set it to yours.
$45,000
Time spent on this task
15 hrs / week
About 780 hours a year of a person's time.
These figures show the value of time spent on the task, not a project quote or guaranteed cash savings. We will help estimate what can realistically be automated.
Most reconciliations have a fuzzy edge: an amount off by a fee, a date off by a day, a reference formatted two ways. Those become rules with tolerances. Anything outside the tolerance is an exception, and a person decides.
Yes, through its screens, using your own login, after we review that system's terms with you. It is more work than an export and it is more fragile, so we say so in the quote. Where an export or a connection exists, we use it.
They come as a list, each with the reason and a link back to the record on both sides. Some teams work it in a spreadsheet, some in their system, some from a morning email. The job can also mark items resolved once you fix them.
Two clean exports and a clear matching rule is a single-task automation, $7,500 to $25,000, at the low end. Fuzzy matching, many kinds of exception, or a system read from its screens move it up. The quote is fixed after the free evaluation.
The first reconciliation is running on real data within 14 days of us having access to both systems. Extra rules and exception types are added as they come up.
Every morning, every Friday, or every time an order comes in. Small tasks and larger workflows are both welcome. The evaluation is free, and if we take it on, the first deliverable is running in your operation within 14 days, guaranteed.
Free evaluation. Fixed quote before work begins.
Plain automation
Automate looking up statuses on vendor and carrier portals
An automation checks every portal overnight and hands the team only the exceptions.
Plain automation
Automate reviewing daily files to find new accounts
One scheduled run. About three minutes a day, and it flags anything that doesn't match.
Guide
What business automation actually costs
What makes a project small or large, how the fixed quote works, and how the cost compares to the time the task takes today.
Everything we automate, with what goes into each one.