asago
asago is an open-source, community-governed framework that aims to automate the journey from AI governance policy to production-ready, safely deployed AI systems — bridging the gap between compliance teams, AI engineers, and infrastructure operators.
Présentation
asago aims to connect three things that are currently disconnected: your organisation's AI governance policies, the safety testing of your AI systems, and the deployment of controls to address the risks that testing uncovers. The goal is a workflow that is automated, auditable, and driven by your own policy — not generic checklists — while keeping humans in control and able to review, override, or redirect at every step.
Most AI safety tooling serves only one part of the organisation. asago is designed to bridge the full policy-to-production workflow — every stakeholder from compliance officer to platform engineer will be a first-class user.
asago is a collaborative, multi-organisation effort spanning industry and academia. The project brings together expertise in AI safety research, open-source software engineering, enterprise AI deployment, AI governance, and the design of evaluation methodologies for AI systems.
No single organisation has all the answers when it comes to making AI safe and trustworthy at scale.
Informations pratiques
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