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Lorenzo Satta Chiris

Lorenzo Satta Chiris

Director of Excode

Bio

Lorenzo Satta Chiris is an AI researcher and systems engineer specialising in agent autonomy, multi-agent orchestration, and alignment. He co-developed the AURA framework, a risk assessment model for quantifying and monitoring autonomy in AI agents, and leads ongoing research on agent systems, adversarial LLM behaviour, alignment formalisation, and post-AGI governance as a Global Excellence Engineering and Entrepreneurship scholar at the University of Exeter. Lorenzo has delivered talks at Google DevFest, Microsoft Azure AI Connect, AWS Agentic Hackathon, MLCon, the Cornish Tech Showcase, the Dutch AI Conference and others on guardrailed multi-agent systems, agentic systems in production, and human-AI interaction design. He serves as President of Google Developer Group Exeter and directed the world's largest student-led coding and AI bootcamps (2,500+ participants), winning Tech South West's Best & Most Innovative Organisation award. As CTO of Oorbital, he architects and deploys guardrailed multi-agent systems in production, integrating RAG pipelines, LLM orchestration, and safety guardrails for industry clients. He also led a 500-student field study on multi-agent architectures for personalised education, worked on enterprise agent upskilling and consulting, and developed agentic frameworks for orchestration, the agentic web, and agent safety. Through his blog, read by over 200,000 tech enthusiasts worldwide, and his work as a technical writer, Lorenzo connects AI research to practitioners, educators, and the broader public. He brings a rare profile to the stage, sitting at the intersection of production AI engineering, safety research, and large-scale education, focused on bringing safe, useful autonomy from lab to lecture hall to real-world operations.

Talk

18:45 – 19:30CoworkingCoworking

AURA: A Practical Risk Framework for Autonomous AI Agents

Autonomous AI agents are moving from experiments into systems that touch real customers, money and infrastructure, yet many teams still improvise their safety practices, with maturity and governance representing one of the major barriers to AI deployment. This session presents AURA, an open source Agent Autonomy Risk Assessment framework developed from research and production deployments at the University of Exeter. We turn diffuse concerns about “rogue agents” into concrete risk dimensions and a quantitative scoring model that engineers, product owners and risk stakeholders can use in a shared, repeatable way. Using realistic failure scenarios for tool using agents, we show how AURA helps you reason about autonomy levels, capability scope, tool access, oversight mechanisms and monitoring. The focus is on integrating risk thinking into your existing MLOps stack through checklists, scorecards and design templates, managing Governance and Compliance requirements. Attendees will leave with a reference risk scoring tool, example assessments and a set of practical steps for embedding agent risk reviews into their current development and deployment lifecycle.

intermediateIngleseTalk (35min+Q&A)Agentic AIGenerative AI