Regulatory Reporting Orchestrator
Coordinates regulatory filing from data collection through agency submission and tracking
Collect data from systems, validate completeness, format per regulations, file with agencies, track deadlines
Regulatory reporting to government agencies demands perfect accuracy, strict formatting compliance, and on-time filing—yet data collection from multiple systems and validation processes are notoriously error-prone and labor-intensive. This complex agentic workflow identifies filing requirements and deadlines, collects required data from ERP and other systems, validates completeness and accuracy, formats reports according to each agency's specifications, files electronically with regulatory bodies, and maintains an audit-ready archive with confirmation tracking. By orchestrating the entire reporting lifecycle, this approach eliminates the manual errors and last-minute scrambles that plague regulatory filings. Organizations deploying agentic regulatory reporting achieve 60% faster preparation times, 100% on-time filing rates, and zero formatting errors, delivering 12-18x ROI through penalty avoidance and time savings. Industries facing frequent regulatory filings across multiple jurisdictions or agencies—such as financial services, healthcare, insurance, pharmaceuticals, energy and utilities, and telecommunications—benefit most from this end-to-end automation, as it transforms a high-stress, error-prone process into a reliable, audit-ready system that runs consistently every reporting cycle.
Agent Architecture
A complex orchestrator managing data collection, validation, formatting, filing, and archive maintenance for regulatory compliance.
Regulatory Reporting Orchestrator
Coordinates regulatory filing from data collection through agency submission and tracking
Data Collector
Collects required data from multiple systems
Validator
Validates data completeness and accuracy
Formatter
Formats reports per agency specifications
Filer
Files electronically and tracks confirmations
Identify regulatory filing requirements and deadlines
Collect required data from multiple systems
Validate data completeness and accuracy
Format reports per agency specifications
File electronically with regulatory agencies
Track confirmation and any follow-up
Maintain filing archive
Click any KPI to view detailed measurement guidance, formulas, and typical ranges.
Capture all agent interactions (prompts, outputs, data sources accessed) in a central, searchable system
Central inventory of all agents with metadata: owner, purpose, data sources, risk level, users
Automatically detect and mask PII in agent interactions, especially before logging or sending to external APIs
Define how long to retain agent logs, prompts, and outputs. Balance audit needs with privacy obligations.
Restrict agent capabilities and data access based on user roles. Not everyone should access everything.
Require review and sign-off before agents enter production. Checklist: security, data access, testing, ownership
Regularly test agents for vulnerabilities (jailbreaks, prompt injection, data exfiltration attempts)
These controls help ensure secure, compliant, and auditable AI operations. High-priority controls are critical for production deployment.
AI generating false or fabricated information presented as fact
AI using outdated data that no longer reflects current reality
Inability to verify or cite the original sources of AI-generated information
Non-compliance with data privacy regulations like GDPR and CCPA
Accidental disclosure of confidential business or customer information
Lack of proper consent for recording, storing, or processing user interactions
Users accessing data or performing actions beyond their permission level
Unintentional exposure of sensitive data through model training or outputs
Malicious manipulation of AI behavior through crafted input prompts
These risks should be mitigated through proper governance controls and operational procedures.
Track regulatory changes, assess impact, update policies, notify stakeholders
Receive request, check templates, generate draft, route for review
Extract key terms, flag risky clauses, suggest redlines, track versions
Explore assistive AI tools that Legal teams use to augment these agentic workflows.
Applying AI to legal workflows? Olakai delivers the compliance monitoring and risk governance that legal teams require.
Schedule a Demo