AI Agents for Tax
Data Preparation
Almost nothing that goes wrong with tax goes wrong in the tax function. It is decided at posting and discovered at filing.
- Tax treatment is decided when a transaction is posted, by somebody not thinking about tax, and discovered months later when the return will not support it.
- By filing, the documents are old and the people who posted them have moved on, so the cheapest fix has already passed.
- The difficulty in 1099 preparation is not extraction. It is that the population being extracted was never correct.
- One vendor under two records, each below the threshold and together above it, triggers nothing at all.
- Manual journals and intercompany recharges are usually outside the tax review population rather than undersampled, which means they are unexamined.
AI agents for tax data test treatment against the transaction as it posts, check the reportable vendor population against actual payments rather than a flag, and read the whole transaction population including manual journals and intercompany recharges. ChatFin surfaces the error months before a return would.
The structural problem is that tax errors are made upstream and found downstream. The tax code on a purchase, the place of supply, whether a vendor is reportable, are all decided at posting by somebody with a different job. They surface at filing, when the documents are old and the correction is expensive. ChatFin moves the detection to the posting.
Tax errors are made in the ledger and found at filing
Almost nothing that goes wrong with tax goes wrong in the tax function. The treatment is decided when a transaction is posted, by somebody who is not thinking about tax, and it is discovered months later when the return is prepared and the data will not support it.
| Decided at posting | Discovered at filing | Cost of the gap |
|---|---|---|
| The tax code on a purchase | Recovery was overstated | An amended return |
| The place of supply | The wrong jurisdiction was charged | Interest and penalties |
| Whether a vendor is reportable | A 1099 population that is wrong | A late filing |
| Exempt or zero rated | Treated as one, should be the other | A reassessment |
| The entity that transacted | Filed by the wrong entity | A correction in two returns |
By filing, the underlying documents are old, the people who posted them have moved on, and the cheapest fix has long passed. ChatFin tests the treatment as transactions post rather than waiting for the return to expose it.
ChatFin tests tax treatment against the transaction as it posts, which is months before a return would surface the same error and while it is still cheap.
The reportable vendor population is wrong in both directions
Preparing 1099s is treated as an extraction task run once a year. The difficulty is not extracting it, it is that the population being extracted was never correct.
ChatFin tests the population continuously against payment behaviour rather than extracting it once from a field, which is what catches the split records and the missing documentation while there is still time to ask.
ChatFin tests the reportable population against actual payments rather than a vendor flag, which is how split records and missing documentation surface before the deadline.
Reviewing transactions for tax is a coverage problem
Tax review is done by sample because reading every transaction was impossible. The exposures that matter are concentrated in exactly the places a sample does not reach.
| Where exposure concentrates | Why a sample misses it |
|---|---|
| Low value, high volume categories | Individually immaterial |
| New vendors in the first months | A small share of the year |
| A single unusual jurisdiction | Rare by definition |
| Manual journals affecting tax accounts | Outside the transaction population |
| Intercompany recharges | Often excluded from the scope entirely |
The last two rows are frequently outside the review population altogether, which means they are not undersampled, they are unexamined. ChatFin reads the whole population including manual journals and intercompany, and reports by exposure rather than by count.
ChatFin includes manual journals and intercompany recharges in tax review, which are commonly outside the sampled population rather than merely undersampled.
Where this underperforms
Three.
Deeper in tax data
The use cases this hub covers.
Worked on this page
Transaction review for tax · Tax data preparation · 1099 preparation
Covered as sections here
Treatment at posting · Reportable populations · Split vendor records · Manual journals
Questions tax and finance teams ask first
Why do tax problems surface so late?
Because they are created somewhere else. The treatment is set when a transaction posts, by somebody who is not thinking about tax, and nothing tests it until a return is prepared against it. By then the supporting documents are old and the people involved have moved on. ChatFin tests treatment at posting instead.
What is actually hard about 1099 preparation?
Not the extraction. The population. A vendor paid all year with no tax documentation, a vendor wrongly classified as a corporation at creation, the same vendor under two records each below the threshold, or payments to an individual routed through an expense claim. ChatFin tests the population against actual payments rather than a field.
Is sampling enough for transaction level tax review?
It has a specific blind spot. Exposure concentrates in low value high volume categories, new vendors, and rare jurisdictions, all of which a sample is designed not to over represent. Worse, manual journals and intercompany recharges are frequently outside the review scope entirely. ChatFin reads the whole population and reports by exposure.
Test at posting, not at filing.
ChatFin tests tax treatment against the transaction as it posts, months before a return would expose the same error.
The reportable population is checked against actual payments, and manual journals and intercompany recharges are included rather than scoped out.
Bring a year of payments. The reportable population check takes an hour.
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Bring a year of vendor payments.
We will test your reportable population through ChatFin against what you actually paid and show you the split records and missing documentation.