Going Concern Assessment
with AI
Automated detection of GC red flags with evidence aggregation.
Going concern indicators hide across financials, board minutes, and contracts.
Automated detection of GC red flags with evidence aggregation.
Going concern language located and linked to source for the engagement team's conclusion.
How DataStruct AI delivers Going Concern Assessment
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.
Related Party Identification
Extraction of related party references across sources, each linked to its passage.
Internal Controls Testing
Evidence located against control descriptions, with exceptions flagged by rules you define.
Run Going Concern Assessment 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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