Disclosure Management
AI-Powered Disclosure Transformation
Faster reporting. Smarter workflows. Fewer late-night edits.
Preparing financial and sustainability disclosures has traditionally required long hours of manual work — gathering numbers from multiple sources, aligning narrative and data, validating tags, coordinating with reviewers, and repeatedly updating designed documents. That model cannot keep up with today’s regulatory complexity.
Ez-XBRL redefines the process with Agentic AI that orchestrates every stage of disclosure creation. Tasks that once required 4–6 hours now take 10–15 minutes, because intelligent agents do the heavy lifting — drafting, validating, aligning, tagging, and coordinating review cycles.
Your teams remain in control. The manual effort does not.
Financial Reporting Disclosure Management
Agentic AI that cuts cycle times by 70–90%.
Our Financial Disclosure Management solution brings together data, narrative, design, collaboration, and regulatory formats into one coordinated flow. With Agentic AI orchestrating the process, your teams get reporting that is faster, more consistent, and dramatically easier to manage.
Agentic AI handles the repetitive work — preparing draft disclosures, aligning sections to source data, validating numbers against the ERP, checking cross-references, ensuring XBRL compliance, and routing tasks to reviewers.
Your teams review and approve.
The agents do the rest.
Highlights
- Automated ingestion of ERP, consolidation, R2R, spreadsheet, and document-based data
- AI-driven narrative generation and consistency alignment
- Automatic cross-checks between data tables, notes, KPIs, and commentary
- Smart change detection across versions
- Integixed production of Inline XBRL with built-in validation
- Role-based team collaboration with controlled workflows
- Full drill-down to data sources for reviewers and auditors
Benefits
- Reduce drafting and review cycles from hours to minutes
- Improve precision and consistency across the entire filing
- Eliminate end-cycle panic and overnight edits
- Strengthen auditability and traceability
- Deliver regulator-ready Inline XBRL with minimal manual touch
- Let analysts and accountants focus on insight — not formatting, tagging, or troubleshooting
ESG & Sustainability Disclosure Management
Built for CSRD, ESRS, SEBI BRSR, GRI, SASB, TCFD, and beyond.
Sustainability disclosures require a balance of structured data, narrative explanation, KPI alignment, and cross-framework consistency. Ez-XBRL — integrated with our sister company EcoActive — uses Agentic AI to manage this complexity with ease.
Intelligent agents map datapoints across multiple ESG frameworks, align disclosures with regulatory standards, validate consistency across sections, and synthesize narrative content.
What previously required days of manual effort becomes a guided, orchestrated flow.
Highlights
- Unified ESG data ingestion from internal systems, spreadsheets, and external sources
- Automated CSRD/ESRS mapping and cross-framework alignment
- AI-generated draft narratives with governance controls
- Automated consistency checks across environmental, social, and governance sections
- Integrated Inline XBRL/ESG-XBRL production
- Seamless collaboration between sustainability teams, finance, auditors, and leadership
Benefits
- Cut ESG reporting timelines dramatically
- Ensure disclosures meet CSRD, ESRS, BRSR, and global expectations
- Improve transparency and traceability across all ESG datapoints
- Leverage EcoActive + Ez-XBRL as a unified sustainability & disclosure ecosystem
- Reduce manual burden while increasing the overall quality and credibility of ESG reporting