ComplianceAI: Transforming Enterprise Compliance with Cloud, ElevenLabs, AI & Automated Data Integration—Architected for Scale, Partner Ecosystems & Real Impact
Vision & Opportunity
In today’s regulated industries—finance, insurance, healthcare—compliance complexity is unavoidable, and the stakes for inefficiency are high. Legacy legal review is slow, error-prone, and non-scalable, especially as cloud and data ecosystems expand. Compliance AI was meticulously conceived and developed by impact-driven innovators, leveraging deep expertise in automation, explainability, cloud search, and modern partner integration to enable rapid, auditable compliance intelligence for the AI- and API-first enterprise.
Platform Overview
ComplianceAI is a multi-cloud, enterprise-grade SaaS platform, harnessing the ElevenLabs for contextual executive summary powered by gemini app (3 pro), zero-maintenance data integration—delivering actionable insights, risk scoring, and end-to-end auditability to business, legal, risk, and partner teams via Google Cloud and marketplace solutions.
Key Capabilities
- Automated Clause Extraction & Regulatory Mapping: Robust contract parsing and dynamic linkage to standards (SEBI, GDPR...)—engineered for hybrid/multi-cloud and partner marketplaces.
- Next-Gen AI Risk Analytics: Google Vertex AI, Gemini Pro, and Elastic hybrid search power clause-level compliance and risk scoring, with explainable outputs for business and audits.
- Unified Dashboards & BI: Enterprise heatmaps, violation analytics, and trends surfaced through Kibana (Elastic), BigQuery (GCP).
- End-to-End Auditability: Every risk and compliance event traceable from clause to dashboard, with full logging via Elastic Security, Google Cloud Logging, and BigQuery.
- Automated Obligation & Notification: Event-driven reminders, workflows, and escalations using cloud functions and Elastic Actions, aligned for high-throughput real environments
Technical Architecture
Hybrid Multi-Cloud, Search, and Data Integration Platform:
- Backend: FastAPI (Python), containerized for Google Cloud Run —multi-region, scalable.
- AI/ML Layer: Vertex AI, Gemini 3 Pro, Legal-BERT for semantic compliance analytics and BigQuery.
- Data Integration: hourly syncing of compliance analytics to Google BigQuery—enabling historical BI, trend analytics, and partner reporting with zero infrastructure management or manual schema updates.
- Security & Auth: RBAC, IAM, encryption
Example Workflow (Enterprise/Partner Scenario)
Upload Contract → Clause Extraction → Regulation Matching → AI/ML Compliance Scoring (Cloud CGP) → Vector Storage → Voice Assistance (ElevenLabs/Gemini) → Audit Trails & Event Alerts
Sample Output:
{
"document_id": "contract_12345",
"partner": "GoogleCloud",
"elasticsearch_index": "contracts-index",
"analysis": {
"risk_score": 0.52,
"critical_clauses": 3,
"flagged_obligations": 7,
"audit_links": [
"Elastic:event/xyz123",
"BigQuery:event/abc789"
]
}
}
Milestones & Achievements
1. Autonomous Compliance Engine
- Document Analysis: Upload PDF agreements for instant extraction and analysis.
- SEBI Guard: Verifies clauses against a vector database of updated SEBI regulations using Gemini 1.5 Pro.
- Risk Scoring: Provides a quantitative compliance score and flags high-risk violations with detailed rationales.
2. AI Voice & Video Intelligence (ElevenLabs Integration)
- Interactive Voice Assistant: A conversational loop (STT -> AI -> TTS) allowing users to ask compliance questions audibly and receive spoken expert advice.
- Daily Executive Briefing: One-click audio summary of the current compliance state across all projects.
- AI Video Briefing Studio: Automatically synthesizes a "Breaking News" style MP4 video report for any document, featuring a Gemini-written script and professional ElevenLabs narration.
3. Real-time Analytics Dashboard
- Executive Overview: Monitor total documents, average compliance rates, and system health.
- Timeline Tracking: Visual history of processing events and audit trails.
- Compliance Trends: Interactive charts showing risk distribution and processing performance.
4. Multi-Agent Architecture
- Supervisor Agent: Orchestrates specialized agents for extraction, verification, and risk evaluation.
- Compliance Agent: Dedicated to rule matching and law verification.
- Notification Worker: Handles real-time alerts for high-risk findings.
Roadmap
- Global Regulation & Partner Connectors: Expanding ready APIs for banking, insurance, and partner data exchange (Google Cloud, ElevenLabs).
- Multi-Lingual & BI Analytics: Dashboards and analytics extensible across languages and datasets.
- Collaborative Workflows: Annotation, board dashboards, and cross-team notifications for all stakeholders.
- AI Voice Assistance: Based on Eleven Labs Voice capabilities for your personalized AI executive summary powered by ElevenLabs and Gemini.
Deployment & Enablement
# Clone and configure for cloud/search/partner deployment
git clone https://github.com/nilam576/compliance-checker
cd compliance-checker
pip install -r requirements.txt
# Launch service
python app.py
# Docs, APIs, and ElevenLabs -integrated voicing:
Leadership Team
- Aditya: UI/UX Researcher and Team Lead (Frontend, Product Experience)
- Nilam: Lead AI Engineer & Cloud Specialist (Cloud Architect)
Built With
- api
- elevenlabs
- fastapi
- gemini
- google-cloud
- javascript
- node.js
- python
- react
- tailwindcss

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