Deploy AI Responsibly.
Govern It Defensibly.
End-to-end advisory for enterprises adopting AI tools and workflows.
From initial risk assessment and policy framework development to vendor due diligence, employee acceptable use policies, and regulatory compliance across MeitY, RBI, and SEBI AI guidelines.
The Governance Gap
AI adoption without governance
is a liability.
83% of Indian enterprises are deploying generative AI tools. Fewer than 12% have a formal AI governance framework. The gap between adoption speed and governance readiness is where regulatory, legal, and reputational risk lives.
SIRI builds the legal and technical framework that lets you deploy confidently — from acceptable use policies that protect IP to vendor contracts that allocate AI liability correctly.
- 01MeitY National AI Strategy Aligned
Governance frameworks mapped to India's national AI strategy, responsible AI principles, and sector-specific guidelines.
- 02DPDPA-Compliant AI Data Flows
Consent management, data minimisation, and purpose limitation designed specifically for AI training and inference pipelines.
- 03Board-Ready Documentation
Policies and risk registers formatted for board approval and regulatory filing — not just internal memos.
- 04EU AI Act Preparedness
High-risk AI system classification, conformity assessments, and transparency documentation for companies with European exposure.
AI Governance Services
Responsible AI Adoption Framework
AI adoption without governance is a liability. SIRI builds the legal and technical framework that lets you deploy confidently.
- 📊
AI Risk Assessment
Pre-deployment risk scoring of AI use cases across fairness, transparency, privacy, security, and regulatory compliance dimensions specific to Indian regulations.
- 📝
AI Acceptable Use Policy
Drafting of enterprise AI policies covering employee use of generative AI tools, data input restrictions, IP ownership clarification, and prohibited use cases.
- 🔍
Vendor AI Due Diligence
Legal-technical assessment of AI vendor contracts, data processing terms, model governance commitments, and contractual liability allocation.
- 🛠
AI Regulatory Compliance
Gap analysis against MeitY National AI Strategy, RBI AI guidelines, SEBI AI/ML directives, and IRDAI requirements for regulated entities.
- 🤖
Shadow AI Discovery
Identification of unsanctioned AI tool usage across the organisation. Risk quantification. Integration into governance framework or controlled sunset.
- 🔑
AI Data Governance
Data classification, consent management, and access control frameworks for AI training data, inference inputs, and model outputs under DPDPA.
- ⚖
AI Ethics & Bias Auditing
Fairness assessments, bias detection in model outputs, and documentation of algorithmic decision-making for regulatory transparency requirements.
- 📚
AI Incident Response Planning
Playbooks for AI-specific incidents: model hallucination causing harm, data leakage through AI, adversarial attacks on production models, and regulatory inquiries.
- 📈
Quarterly AI Governance Review
SIRI Shield subscribers receive quarterly reviews of AI tool inventory, policy compliance, regulatory changes, and risk register updates.
Why SIRI
Govern AI before regulators
tell you how.
SIRI helps you build governance frameworks that satisfy current Indian regulations while remaining adaptable as the AI regulatory landscape evolves.
Book Free Consultation →- 🤖India-Specific AI Law
We track MeitY, RBI, SEBI, and IRDAI AI guidance in real time — most AI governance frameworks are built for EU/US contexts.
- 🔑Legal Privilege on Findings
AI governance assessments delivered under attorney-client privilege, protecting findings from regulatory discovery.
- ⚡Deployment-Ready Policies
Framework and policy documentation ready for board approval within 30 days, not months.
- 📈Iterative Governance
SIRI Shield subscribers receive quarterly AI governance reviews as regulations and your AI portfolio evolve.
Our Process
How We Engage
AI Inventory & Discovery
Catalogue every AI tool, model, and automated decision system in use across your organisation — including shadow AI.
Risk Scoring & Classification
Score each AI use case on fairness, privacy, security, transparency, and regulatory exposure. Map to high/limited/minimal risk categories.
Policy Framework Development
Draft enterprise AI policies: acceptable use, data governance, vendor management, incident response, and board oversight.
Technical Controls & Implementation
Implement data access controls, model monitoring, output validation, consent mechanisms, and audit logging.
Board Approval & Regulatory Filing
Finalise documentation for board presentation, regulatory submission, and ongoing compliance monitoring.
Representative Matters
Typical AI Governance Engagements
Real engagement patterns. Client details anonymised. All findings delivered under attorney-client privilege.
NBFC — Enterprise-Wide AI Governance
Built complete AI governance framework for a 2,000-employee NBFC deploying AI across credit scoring, KYC, and customer service. Policies approved by board in 28 days. RBI-aligned.
SaaS Startup — Pre-Series B AI Policy
Drafted AI acceptable use policy, vendor due diligence framework, and IP ownership clauses for a Series A startup preparing for institutional funding. Investors cited governance maturity in term sheet.
Hospital Chain — Clinical AI Deployment
Risk assessment and governance framework for diagnostic AI deployment across 12 hospitals. DPDPA health data compliance, patient consent design, and clinical liability allocation.
Manufacturing — Shadow AI Remediation
Discovered 47 unsanctioned AI tools across departments. Built governance framework, integrated 18 tools into approved stack, sunset 29. Zero business disruption.
Client Outcomes
Measurable Results
Board Approval
Discovered (record)
First Submission
Frameworks Mapped
Frameworks & Standards
Governance Built On
Industries
Sectors We Serve
FAQ
Frequently Asked Questions
Start Your AI
Governance Review.
30-minute consultation. No commitment. Privilege-protected from the first conversation.
📞 +91 7981912046 · WhatsApp · Mon–Sat, 9 AM – 7 PM IST