AI for Corporate Reporting & ESG
Extract KPIs from annual reports, benchmark disclosures across peers side by side, and use configurable rule packs to flag missing disclosures.
Built for
Why Corporate teams struggle today
The problems we see in every corporate workflow.
- Manually reading annual reports for key metrics across hundreds of issuers
- ESG disclosure comparison across peers is a spreadsheet nightmare
- Year-over-year changes in management commentary go undetected
- Peer benchmarking takes weeks of analyst time per cycle
- IFRS S1/S2 implementation requires evidence-based gap analysis
How DataStruct AI solves it
Purpose-built capabilities for corporate workflows.
- KPI extraction (revenue, governance, ESG metrics) with confidence scores
- Peer group benchmarking with side-by-side comparison
- Cross-year search across management discussion, with source links
- Configurable rule packs that flag missing required disclosures
- Evidence-linked exports (CSV / XLSX / JSON) for review
Corporate use cases
The most impactful workflows DataStruct AI powers for corporate teams.
Annual Report Benchmarking
Problem: Equity analysts manually read 30+ annual reports per cycle to extract KPIs.
Solution: Automated KPI extraction with peer group comparison.
Impact: Analysts focus on insight, not extraction.
ESG Disclosure Benchmarking
Problem: Comparing ESG disclosures across peers is labour-intensive.
Solution: Evidence-backed extraction of disclosed figures with side-by-side peer-group comparison.
Impact: Peer disclosures extracted and linked to source for the analyst to compare.
Disclosure Gap Analysis
Problem: Checking a report for the disclosures a standard expects is slow and manual.
Solution: Configurable rule packs flag missing required disclosures, with evidence-backed extraction of what is present.
Impact: Faster review. Source-linked findings for a reviewer to confirm.
Claim and evidence checks
Problem: A report's stated claims are not always backed by a figure or passage a reviewer can point to.
Solution: 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.
Impact: Source-linked findings your reviewers can defend.
Document types we handle
Questions you can ask
- ›“What are the key ESG commitments in this report?”
- ›“Compare revenue growth across the peer group”
- ›“What governance structures are disclosed?”
- ›“Identify quantified sustainability targets”
- ›“What climate risks are disclosed under IFRS S2?”
Why Corporate teams choose DataStruct AI
Evidence-cited AI
Answers cite the sources they rely on, and records the system could not confirm are shown separately for a reviewer to check.
Access control and audit
Workspace roles with granular permissions and an audit log on sensitive actions. Tenant isolation is enforced in the application layer.
11 industries
Pre-configured terminology, document types, and rule packs for your vertical.
See DataStruct AI in action
Tell us about your team, document volumes, and integrations. We'll put together a tailored package and walk you through the platform.