Disclosure Gap Analysis
with AI
Configurable rule packs flag missing required disclosures, with evidence-backed extraction of what is present.
Checking a report for the disclosures a standard expects is slow and manual.
Configurable rule packs flag missing required disclosures, with evidence-backed extraction of what is present.
Faster review. Source-linked findings for a reviewer to confirm.
How DataStruct AI delivers Disclosure Gap Analysis
Evidence-backed AI
Outputs cite the source paragraph. A verification pass flags claims it cannot match to the cited evidence.
Corporate domain pack
Pre-configured terminology, document types, and rule packs purpose-built for corporate.
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 Corporate use cases
Annual Report Benchmarking
Automated KPI extraction with peer group comparison.
ESG Disclosure Benchmarking
Evidence-backed extraction of disclosed figures with side-by-side peer-group comparison.
Claim and evidence checks
Ask for the evidence behind a stated claim and get the source passage, or a plain statement that none was found, for a reviewer to judge.
Run Disclosure Gap Analysis 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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