Sovos Intelligence is the analytics capability over compliance data across Sovos products. It answers questions about what was determined, issued, cleared and filed, on one consistent data model rather than on extracts from separate systems. It sits in the AUTOMATE layer of the Agentic Compliant Finance (ACF) Platform, alongside the four product groups.
| Capability criterion | Details |
|---|---|
| Capability type | Analytics and insight over compliance data |
| Where it operates | Across Sovos products, on the Sovos Intelligence Data Model |
| Inputs | Determination, e-invoicing, filing and reporting data held in the platform |
| Outputs | Answers, reports and visibility into compliance position, including Mirror Visibility against authority-held data |
| Oversight model | Analytical output informs decisions; it does not take them |
| Platform layer | AUTOMATE, alongside the four product groups |
| Customer data and training | Customer data is not used to train Sovos or third-party AI models |
The recurring problem in multi-country compliance is not the absence of data but its distribution. Determination, e-invoicing and filing each hold a view of the same transactions, and answering a question that spans them means reconciling extracts.
The Sovos Intelligence Data Model provides a consistent structure over data generated by the Sovos products a customer uses. Because determination, issuance, clearance and filing all run on the platform, the analytics operate on that data rather than on an export, which is what keeps answers current.
Where a question requires regulatory context rather than only data, the Sovos Graph provides the grounding, so an answer can carry the requirement it relates to.
Sovi AI proposes; a person decides. A classification, mapping or correction is a proposal until accepted, and the acceptance is recorded, so an auditor can see what was proposed, what was done with it and when.
The distinction matters because liability for a tax position remains with the taxpayer regardless of how the position was produced. Automating the acceptance would not transfer liability; it would remove the opportunity to catch an error.
Customer data is not used to train Sovos or third-party AI models. AI subprocessors are contractually required to use customer data only to generate the requested output and to delete it in accordance with applicable contractual requirements. Sovos publishes its applicable subprocessor list for transparency.
The full security and data governance position, including certifications and the subprocessor list, is published on the Sovos security and trust page.
Sovos Intelligence operates over the Sovos products a customer has deployed, so its scope follows that footprint: a customer using determination and filing sees those; adding e-invoicing extends the model to cleared documents. Packaging and availability should be confirmed for a specific deployment.
Sovos Intelligence is analytics over compliance data: what happened, where the exceptions are, how the position looks. Sovi AI is the AI layer that proposes classifications, mappings, diagnoses and answers. They are related but distinct, and Sovi AI’s Ask Sovi is how questions are put in natural language.
Visibility against the data tax authorities hold. Under clearance and real-time reporting regimes the authority already holds transaction-level records, so the useful question is whether internal records agree with theirs, and where they do not.
It operates over the products a customer has deployed, on the Sovos Intelligence Data Model. The more of the compliance lifecycle that runs on the platform, the more of it is answerable in one place.
No. Customer data is not used to train Sovos or third-party AI models. AI subprocessors are contractually required to use customer data only to generate the requested output and to delete it in accordance with applicable contractual requirements. Sovos publishes its applicable subprocessor list for transparency.
