Hamish Songsmith

Hamish Songsmith

Founder

ryora.ai

Get a GRASP: How to create real risk visibility for AI agents

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Get a GRASP: How to create real risk visibility for AI agents

Frameworks like NIST and the NSW AI Assessment Framework are valuable for policy, assurance, and audit—but they’re often too heavy to keep up with emergent agent use inside enterprises. The biggest risk surface is no longer only “official” AI projects; it’s user-configured tools (copilots, workflow builders, agent platforms) where new agent behaviours and capabilities emerge quickly, often configured by less technical users. Get a GRASP introduces a lightweight, implementation-first method that complements formal frameworks by creating fast, repeatable risk visibility for AI agents: what they can do, how far they can reach, what they’re allowed to change, what safeguards exist, and the blast radius if they fail. Outcomes: - Lower discovery friction: reduce clarifying back-and-forth between builders and risk teams per agent assessment. - Faster decisions: shorten median time from agent/use-case proposal to risk decision. - Stronger risk positioning: Ensure you are in appetite by reducing the shadow AI emerging throughout the organisation.

Hamish Songsmith

Hamish Songsmith is the founder of ryora.ai, focused on accelerating enterprise AI adoption through practical AI risk visibility, governance, and controls for AI agents. Previously, he was an AI Leader at Optiver, operating in a highly risk-sensitive environment where implementation speed and control discipline must coexist. He brings an implementation-first perspective on why traditional governance models break under agentic systems, and how to align engineering, risk, legal, and security with lightweight frameworks that scale to emergent, user-configured AI capabilities.