Empowering Your AI Governance Journey

The Risks of Ungoverned AI

The rapid adoption of AI brings immense power, but also significant risks. Without a clear governance structure, organizations face major regulatory fines (e.g., EU AI Act), brand damage from algorithmic bias, and critical data privacy or security vulnerabilities.

A 4-Pillar Approach to AI Governance

The Ankush AI Framework provides a clear, measurable, and auditable path to responsible AI, built on four critical pillars.

AI Alignment

Ensuring your AI systems are strategically aligned with your core organizational values, ethical standards, and business objectives from day one.

AI Safety

Implementing rigorous testing, monitoring, and red-teaming to prevent unintended harm, mitigate bias, and ensure your AI systems are reliable and secure.

AI Policy

Establishing clear, practical, and auditable policies for AI development, deployment, and use, defining clear lines of accountability and transparency.

AI Compliance

Proactively maintaining adherence to the complex and evolving landscape of global and local AI regulations, ensuring your systems are auditable and legally sound.

Benchmark Your AI Governance Maturity

Our 3-step assessment provides a clear, actionable plan to secure your AI initiatives.

1 - Discover

Strategic Workshop

2 - Benchmark

3 - Roadmap

A strategic workshop with your key stakeholders (Risk, Legal, Tech) to identify and classify your current and future AI use cases.

Maturity Assessment

We use our proprietary assessment to measure your organization's AI maturity against the 4 pillars of the Ankush framework.

Actionable Plan

We deliver a comprehensive roadmap with a prioritized list of tactical and strategic actions to close governance gaps and ensure regulatory readiness.

Nikhil Joshi is a 25-year technology leader, certified AI Governance Professional (AIGP), and the creator of the Ankush AI Framework. With deep, hands-on experience in data architecture and strategy for Financial Services, Healthcare, and Manufacturing, Nikhil bridges the critical gap between complex data systems and the practical policies needed for responsible AI.

About Nikhil Joshi