Internal Controls Testing
with AI
Evidence located against control descriptions, with exceptions flagged by rules you define.
Testing internal controls per ICFR/SOX requires sampling and documentation at scale.
Evidence located against control descriptions, with exceptions flagged by rules you define.
More efficient ICFR audits. Source-linked evidence trail.
How DataStruct AI delivers Internal Controls Testing
Evidence-backed AI
Outputs cite the source paragraph. A verification pass flags claims it cannot match to the cited evidence.
Audit domain pack
Pre-configured terminology, document types, and rule packs purpose-built for audit.
Audit trail by default
Actions are logged and claims link to source. Assemble the evidence without the fire drill.
Access control and audit
Multi-tenant architecture with RBAC and audit logs. Tenant isolation is enforced in the application layer: each tenant-scoped route resolves your workspace membership and permissions before returning anything.
More Audit use cases
Working Paper Review
Rule packs flag issues across working papers with source links, so partner attention goes to the flagged items first.
Going Concern Assessment
Automated detection of GC red flags with evidence aggregation.
Related Party Identification
Extraction of related party references across sources, each linked to its passage.
Run Internal Controls Testing on DataStruct AI
Tell us what you're working with. We'll spin up a tailored workspace and walk your team through it.
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