ENTERPRISE SERVICE ⚡ Quick Response SLA30-Day Complimentary RetestingAI Governance & Policy

AI Governance Framework Development

Enterprise AI Policies, Acceptable Use, Algorithmic Impact Assessments & Vendor Diligence

Set practical, enforceable AI rules your teams can follow, sized to your AI footprint and aligned to ISO/IEC 42001, NIST AI RMF, DPDP Act 2023, and financial sector regulators.

Delivery Turnaround
5 – 10 Business Days
Lead Engineer Profile
Senior CEH & PenTest+ Certified
Pricing Structure
Fixed Scope (4-6 Weeks Engagement)
Engagement Intake
contact@blueciphr.com

Standardized 5-Phase Technical Methodology

Phase 1: Committee Charter & Decision Rights
Weeks 1 - 2 ISO/IEC 42001 Clause A.3 Internal Org, NIST AI RMF GOVERN 1.1

We define the governance structure, establishing an AI Governance Committee representing CISO, Legal, Data Science, and Business Leadership with clearly defined decision rights.

KEY ACTIVITIES:
  • Drafting committee charter, meeting cadences, and escalation paths
  • Formulating RACI matrix across business units and engineering teams
  • Defining thresholds for mandatory committee review of new AI use cases
  • Establishing employee concern-reporting and ethical feedback mechanisms
DELIVERABLE: ✓ AI Governance Committee Charter & Operating Procedures
Phase 2: Enterprise AI Policy & Acceptable Use
Weeks 2 - 3 ISO/IEC 42001 Clause A.2 Policies, DPDP Act 2023

We create practical, easy-to-follow policies governing acceptable use of public GenAI tools, approved enterprise AI systems, prompt confidentiality, and IP protection.

KEY ACTIVITIES:
  • Drafting employee acceptable-use guidelines for ChatGPT, Claude, Copilot, and internal tools
  • Specifying strict data prohibition rules for customer PII, secrets, and trade secrets
  • Defining attribution and disclosure standards for AI-assisted work products
  • Harmonizing with corporate Information Security and Human Resources policies
DELIVERABLE: ✓ Enterprise AI Security Policy & Employee Acceptable-Use Code
Phase 3: Algorithmic Impact & Risk Methodology
Weeks 3 - 4 ISO/IEC 42001 Clause A.5 Impact Assessment, NIST AI RMF GOVERN 3

We institute repeatable Algorithmic Impact Assessment (AIA) procedures, enabling teams to evaluate safety, bias, privacy, and systemic risk prior to model development.

KEY ACTIVITIES:
  • Building standardized impact assessment questionnaires and scoring matrices
  • Defining criteria for human-in-the-loop vs. automated decision boundaries
  • Creating DPDP Act 2023 alignment for models processing personal data identifiers
  • Establishing recurring reassessment triggers for retrained or fine-tuned models
DELIVERABLE: ✓ AI Risk & Algorithmic Impact Assessment (AIA) Toolkits & Templates
Phase 4: Lifecycle Gates & Vendor Due Diligence
Weeks 4 - 5 ISO/IEC 42001 Clause A.6 Lifecycle & A.10 Third-Party, RBI Master Direction

We establish formal stage-gate checkpoints from conception through decommissioning, alongside stringent vendor questionnaires for AI foundation model APIs.

KEY ACTIVITIES:
  • Formulating Stage-Gate approval criteria: Design, Training, Testing, Deployment, Retirement
  • Developing third-party AI vendor security assessment questionnaires
  • Drafting contractual risk clauses (training on customer data, zero-retention, indemnification)
  • Integrating gates into Jira, ServiceNow, or enterprise change management systems
DELIVERABLE: ✓ AI Lifecycle Standard Operating Procedure (SOP) & Vendor Security Toolkit
Phase 5: ISMS Harmonization & Executive Rollout
Week 6 ISO/IEC 42001 §5 Leadership, ISO 27001 Clause 5.2

We map the AI Governance Framework into your existing ISMS (ISO 27001), privacy management, and internal audit schedules, delivering executive training and readiness packs.

KEY ACTIVITIES:
  • Cross-mapping controls to ISO 27001, NIST AI RMF, and Indian regulations
  • Executive briefing session for C-suite and department heads
  • Publishing approved policies into the corporate intranet document repository
  • Establishing metrics and KPIs for tracking framework adherence
DELIVERABLE: ✓ Harmonized Control Map, Rollout Briefing Deck & Sign-Off Documentation

Technical Scope & Deep Architectural Analysis

Without practical governance, enterprise AI adoption creates severe blind spots: unauthorized data leakage into third-party training corpuses, uncontrolled algorithmic liability in credit and fraud decisions, and non-compliance with the DPDP Act 2023. BlueCiphr builds operational AI governance frameworks that enable rapid innovation while protecting enterprise reputation, IP, and regulatory standing.

Standard Operational Verification Checklist

  • Appoint AI Governance Committee members and establish executive charter
  • Promulgate Enterprise AI Security Policy and Employee Acceptable-Use Policy
  • Deploy Algorithmic Impact Assessment (AIA) templates across project initiation workflows
  • Implement mandatory Stage-Gate review checklist prior to model production deployment
  • Execute third-party security audits on all foundational model providers (OpenAI, Anthropic, AWS Bedrock)
  • Cross-map governance controls to ISO/IEC 42001 Statement of Applicability

Key Deliverables Included

  • AI Governance Charter with Committee Mandates & Decision Rights
  • Enterprise AI Security & Employee Acceptable-Use Policy
  • Standardized AI Risk & Algorithmic Impact Assessment (AIA) Templates
  • AI Lifecycle SOP with Formal Stage-Gate Approval Workflows
  • AI Vendor Due Diligence Questionnaire & SaaS Contractual Clauses
  • Harmonized Regulatory Control Map (ISO 42001, NIST AI RMF, DPDP Act, RBI FREE-AI)

Regulatory Alignment

ISO/IEC 42001:2023 Clauses A.2, A.3, A.5, A.6, A.10NIST AI RMF GOVERN 1-6DPDP Act 2023 Data Fiduciary RulesRBI FREE-AI Framework

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