Enabling organisations to deploy AI that is auditable, explainable, and profitable through governance frameworks built for production, not PowerPoint.
We don't build AI governance because regulators demand it. We build it because AI systems without defensible governance create existential risk—and organisations that govern AI properly move faster, deploy confidently, and maintain regulatory trust.
Trusted AI Governance Ltd was founded to solve a critical market failure: AI systems are increasingly autonomous, making decisions with real-world consequences—but governance models haven't evolved to match.
Most organisations have ethics policies with no operational controls. Risk assessments that go stale the day they're published. Unclear accountability when AI acts.
The gap isn't lack of AI expertise—it's lack of governance expertise for AI that operates in production. We exist at the intersection of:
We're not a general AI consultancy. We're not a software vendor. We're a strategic governance partner for organisations that need to demonstrate control over AI in production.
We build control systems that generate audit evidence continuously—not compliance theater. If you can't demonstrate a control works in production, it doesn't exist.
We design frameworks to satisfy ICO, FCA, CMA, and EU AI Act requirements from day one. Not "best efforts"—we build governance that holds up under scrutiny.
We govern AI systems that can act, decide, and adapt—not just legacy ML models. Our frameworks are ready for agentic AI, not playing catch-up.
One-time compliance checks fail the moment AI models update. We enable ongoing monitoring and control verification that scales.
We don't create dependency. We build your team's capability to govern AI independently while remaining available when expertise is needed.
We enable boards and Senior Managers to fulfill SMCR Individual Accountability obligations with defensible governance evidence. We bridge Deep Tech and Deep Risk.
Kishore founded Trusted AI Governance Ltd after witnessing organisations deploy sophisticated AI without governance systems sophisticated enough to manage them. His expertise spans AI strategy, regulatory frameworks, risk management, and SMCR accountability—with deep understanding of how AI operates in enterprise environments and what regulators expect to see.
Before founding the firm, Kishore worked at the intersection of AI implementation and enterprise risk, helping organisations navigate the gap between AI ambition and regulatory reality. He brings both technical depth and governance expertise—understanding what AI systems can do and what controls regulators demand when AI does it.
Kishore specializes in bridging "Deep Tech" (data science teams) and "Deep Risk" (boards, compliance, legal)—enabling organizations to deploy AI at velocity while maintaining defensible governance.
We're not trying to be everything to everyone. We're specialists in AI governance, risk, and assurance.
We're not a general AI consultancy. We don't build models, design architectures, or sell AI strategy. We govern the AI you're already building.
We're not a software vendor. We don't lock you into proprietary platforms. We design governance systems that work with your existing tools and scale with your organisation.
We're not compliance box-tickers. We build operational governance that generates continuous evidence and holds up under regulatory scrutiny—not documentation that looks good but doesn't work.
We focus on production AI, not research. Our clients are deploying AI that makes decisions, serves customers, and carries real liability. We help you govern it accordingly.
We're certified practitioners, not theorists—we've done the implementations we advise on
We're UK-based with European focus. We understand UK and EU regulatory landscapes deeply, with frameworks that work globally.
If you need AI governance that actually works—not just documentation—let's talk.
Get Started