CSRD gap check
Identify disclosure gaps with evidence citations mapped to ESRS requirements.
Resonate AI — Systems built for regulatory scrutiny
AI systems built for regulatory scrutiny.
We deploy stress-testing, retrieval, and agentic review systems that surface exposure, attach evidence, and leave a full audit trail.
Evidence-backed · Audit trails · Framework mapping
Disclosure Stress-Testing
Production deployment of Resonate's core stress-testing workflow, configured for your regulatory frameworks and evidence sources. The system processes draft disclosures, maps claims to framework requirements, scores exposure, and generates remediation suggestions with full audit trails.
Outcomes
- Exposure detection across frameworks (CSRD/ESRS, GRI, TCFD, SASB, CDP)
- Framework mapping and requirement alignment
- Audit-ready outputs with full decision trails
- Defensible rewrites backed by evidence
Typical deliverables
- Deployed stress-test API or web interface
- Framework configuration and exposure scoring models
- Export formats: PDF reports, CSV data, JSON decision trails
- Documentation and admin training
Evidence & Retrieval Infrastructure
Custom retrieval-augmented generation system that indexes your internal documents, policies, KPIs, and historical filings. Every claim verification includes citations to source documents, with permission-aware access controls and full provenance tracking.
Outcomes
- Evidence-backed claim verification with citations
- Permission-aware retrieval across your sources
- Full provenance tracking for auditability
- Evidence packs for high-risk claims
Typical deliverables
- RAG pipeline connected to your data sources (Drive/SharePoint/Confluence/S3)
- Embedding models and vector database setup
- Access control integration (SSO, role-based permissions)
- Citation and provenance tracking
Automation & Embedding
Automated review agents that detect unverifiable claims, fetch supporting evidence, score risk, propose safer language, and route items through approval workflows. Embed Resonate capabilities inside your platform with APIs, widgets, and branded UI.
Outcomes
- Continuous review workflows with human-in-the-loop controls
- Integration into existing tools (Jira/Slack/Teams)
- White-label deployment with APIs and branded UI
- Multi-tenant support and usage analytics
Typical deliverables
- Agent workflow configuration and rules engine
- Review queue, escalation logic, and approval workflows
- API documentation, SDKs, and embeddable widgets
- Custom branding, theming, and SSO integration
What a pre-publication review looks like
This is an illustrative 60-second walkthrough of the Disclosure Stress Test workflow. See how the system identifies exposure, maps claims to frameworks, and generates audit-ready outputs.
Disclosure Stress Test
See how unverified claims are flagged and mapped to frameworks.
Use cases
Greenwashing exposure scan
Surface unverifiable marketing claims before publication.
Peer language benchmarking
Compare disclosure language against industry standards and peer filings.
Evidence library chatbot
Build an internal knowledge base for claim verification and evidence retrieval.
Automated claim verification
Generate verification tickets with evidence packs for review workflows.
Embedded compliance checks
Integrate stress-testing into client portals and existing platforms.
From pilot to production — without vendor lock-in
Pilot
2–4 weeks
Connect sources, configure checks, first stress test
Production
4–8 weeks
Harden, add permissions/SSO, monitoring
Scale
Ongoing
Expand frameworks, add agents, multi-team rollout
Integrations
Google DriveSharePointConfluenceBoxS3SnowflakeDatabricksSlackTeamsJira
Frequently asked questions
- How is data privacy handled? Is my data used to train models?
- Your data is never used to train models. Documents are processed in memory and not stored permanently. All processing occurs within your configured security boundaries.
- Where is data stored?
- Storage location depends on your deployment model. We support on-premises, VPC, and cloud-hosted deployments. Storage locations are configured during the pilot phase.
- Can it run on customer infrastructure or VPC?
- VPC and on-premises deployments are available. Requirements and architecture are assessed during the initial consultation.
- How do citations and provenance work?
- Every claim verification includes citations to source documents with page numbers, timestamps, and document metadata. Evidence packs compile all supporting sources for flagged claims.
- What do you mean by “defensible”?
- “Defensible” means reducing regulatory exposure by identifying unverifiable claims, missing evidence, and narrative gaps before publication. We do not guarantee regulatory outcomes or compliance.