Govern AI with confidence. Scale with trust.
Executive-level AI Governance, GRC, compliance, and program leadership for organizations that need to move from AI experimentation to responsible, defensible, and scalable adoption.
Framework Certifications & Core Credentials
AI moves faster than governance. That gap becomes risk.
AI should be governed as an organizational capability — not treated as a one-time, post-hoc compliance checkbox exercise.
AI is already entering the organization
Employees are using copilots, generative models, API connections, automated decision modules, and third-party tools across business operations—often bypassing traditional security filters.
Accountability remains fragmented
Technology, legal, privacy, security, procurement, and lines of business each see only part of the risk. Without centralized GRC orchestration, critical vulnerabilities slip through the boundaries.
Governance must become operational
Organizations need structured use-case inventories, triage assessments, automated gates, validation logs, monitoring loops, and retirement plans to scale AI defensibly.
AI Governance Across the Development Lifecycle
Governance is continuous. We implement checks, balances, and operational gates across all phases of the project lifecycle.
Strategy & Ideation
Prohibited use cases, misaligned risk tolerance, lack of clear business accountability, legal/contractual violations.
- AI Use-Case Intake Form
- AI Governance Risk Triage/Screening Profile
- Initial Project Risk Register
- Stakeholder Responsibility RACI Matrix
- Governance Recommendation & Go/No-Go Decision Pack
The AI Governance Organizational Control Plane
Beyond model evaluations, enterprise GRC establishes a solid operating system for responsible technology adoption. Abhay builds controls across ten organizational dimensions:
Accountability
Board oversight, steering committees, system owners, and cross-functional RACI matrices.
AI Inventory
Centralized use-case catalog, model registrations, classifications, and system registries.
Policy & Standards
Acceptable-use directives, generative AI guardrails, and procurement requirements.
Risk Management
Risk taxonomies, algorithmic impact assessments (AIA), and residual tolerance gates.
Data Governance
Data provenance, lineage mapping, privacy controls, IP reviews, and licensing verifications.
Model Governance
Version controls, model card definitions, bias reviews, drift testing, and logging metrics.
Security & Resilience
Adversarial robustness, jailbreaking prevention, secrets protection, and incident recovery plans.
Human Oversight
Role-based training, human-in-the-loop triggers, override boundaries, and literacy benchmarks.
Assurance & Evidence
Internal control tests, mock audits, compliance traces, and coordination with assessors.
Continuous Efficacy
KPI catalog checks, incident retro analyses, regulatory scanning, and periodic leadership reviews.
AI Governance & Compliance Services
Advisory solutions designed to help organizations implement secure technology strategies and pass technical audits.
AI Governance Readiness Assessment
Evaluate your current deployment footprints against core frameworks. We review software inventory, triage procedures, and policy gaps to create an executive action plan.
- AI system triage analysis
- Framework compatibility mapping
- Gap analysis and quick-wins roadmap
Fee determined upon custom scoping review
Framework Design & Implementation
Establish a customized operating system for AI compliance. We build steering committee charters, use-case triage protocols, policy frameworks, and metric logs.
- Governance committee rhythm setup
- AI acceptable-use policy suite
- Operational control dashboard construction
Tailored implementation pricing applies
EU AI Act / Regulatory Readiness
Turn evolving statutory requirements into a practical project path. We catalog system classifications (prohibited, high-risk, GPAI) and deploy required audit logs.
- System classification and audit checks
- Deployer vs. Provider RACI mapping
- Remediation work plan delivery
Scoped by system volume and role type
AI Audit & Assurance Readiness
Prepare model metrics and GRC evidence before external assessors arrive. We coordinate between technical delivery teams and certifiers to accelerate audit approvals.
- Evidence register preparation
- Control gap verification testing
- Assessor coordinate interface
Fixed-fee or milestone advisory
GRC Program Management
Leverage 20+ years of senior experience delivering cross-functional enterprise programs. We coordinate contractors, manage budgets up to $30M, and align C-suite priorities.
- Cross-functional project office (PMO)
- Sub-vendor evaluation and budget control
- Status and risk visibility checks
Contract retainers customized to scope
Fractional AI Governance Leadership
Ensure long-term compliance continuity. We offer retained fractional executive services supporting your risk committee reviews, policy revisions, and audit preparations.
- Weekly/bi-weekly leadership support
- Incident response guidance interface
- Regular compliance health reviews
Monthly retained advisory arrangements
Frameworks & Compliance Capabilities
No single framework solves every governance challenge. We configure controls matching your regulatory requirements, industry context, and assurance objectives.
NIST AI RMF
voluntary cross-sector framework defining Map, Measure, Manage, and Govern functions for trustworthiness.
ISO/IEC 42001
The international standard for establishing, running, and auditing an Artificial Intelligence Management System (AIMS).
EU AI Act
Comprehensive statutory rules covering system classifications, provider and deployer obligations, and audit readiness.
ISO/IEC 27001
Information security management standard that supports robust information security controls for databases and AI systems.
SOC 2 (Trust Principles)
Customer assurance verification checking processing integrity, data confidentiality, and privacy compliance.
HIPAA Compliance
Healthcare data standards safeguarding Protected Health Information (PHI) processed within analytics or generative models.
CMMC / NIST SP 800-171
Cybersecurity maturity model certification criteria required for protecting sensitive defense department vendor systems.
SEBI CSCRF
Securities and Exchange Board of India's Cybersecurity and Cyber Resilience Framework applicable to financial markets.
We build custom GRC controls matching your specific operations, framework compliance expectations, and audit goals.
Time-Sensitive Regulatory Update: The EU AI Act entered into force on August 1, 2024. As of August 2026, general-purpose AI obligations, prohibited system rules, and AI literacy guidelines are actively enforced. We structure programs to ensure regulatory readiness.
The 5-Step Advisory Journey
Establishing trust through a transparent, low-friction professional engagement method.
Discover
Audit existing business objectives, software footprints, regulatory exposure, and risk tolerances.
Assess
Perform governance evaluations, lifecycle analyses, policy checks, and framework gap reports.
Design
Build custom governance architectures, Steering RACIs, policy guidelines, and control logs.
Operationalize
Coordinate deployment rollouts, workforce training programs, control matrices, and review cycles.
Assure & Evolve
Prepare audit evidence logs, check performance drift, scan regulatory changes, and run updates.
Representative Deliverables
Every consulting engagement delivers clean, documented, and actionable evidence assets tailored to your scope.
Selected Consulting Engagements
Anonymized summaries representing delivery methodologies and risk interventions.
Experience connecting governance, technology, and execution.
Abhay Chitre is a senior leader with over 20 years of experience managing complex GRC initiatives, IT programs, and AI governance implementations in heavily regulated multinational corporate environments.
Known for bridging technical product delivery, security operations, legal parameters, and independent certifications, Abhay has successfully led program teams of up to 35 contractors and directed program budgets up to $30 million.
“The goal is not to block technology or build compliance checkboxes. It is to implement minimum viable governance that establishes customer trust and unlocks secure, sustainable growth.”
Academically, Abhay holds a Bachelor of Science in Technology and a Bachelor of Science in Physics. He holds active certifications including CISM, CISA, TOGAF, PMP, and is a qualified ISO/IEC 27001 Lead Auditor, with dedicated HIPAA auditing credentials.
Insights & Publications
Future articles covering emerging risks, lifecycle models, and international standards.
AI Governance Is Not a Policy Document: It Is an Operating System
Why writing guidelines is insufficient if you lack intake screening, testing loops, and production audit gates.
NIST AI RMF vs ISO/IEC 42001: Which Tool for Which Job?
A comparison between NIST's voluntary risk taxonomy model and ISO's management audit specification.
6 Questions Boards Must Ask Before Approving Generative AI Use
A quick reference tool covering security boundaries, liability limits, and training data licenses.
Frequently Asked Questions
Your AI strategy deserves a governance model that can keep up.
Start with a confidential conversation about where your organization is deploying AI, where risks are accumulating, and what controls are required to scale safely.