Singapore's Infocomm Media Development Authority (IMDA) just published a case study on the responsible deployment of OpenClaw, and Stability is one of the industry voices that contributed to it.
IMDA reached out to us given our deep, hands-on experience deploying agentic AI in production. We run a 27-agent system in a live production deployment, touching numerous functions across the company. Stability had the opportunity to review the draft guidance and provide feedback before its publication.
The case study covers the technical and risk-management dimensions well. And the high-level message from IMDA is one we identify with: as autonomous agents move into enterprise environments, we should use them responsibly, with accountability and safeguards.
But there is a more important conversation underlying all of that.
When companies build autonomous AI systems, and when governments work to regulate them, it's easy to get consumed by architecture patterns, risk assessments, and best practice or governance frameworks. And to be clear, these things matter - a lot. But they are means, not ends.
At the end of every agentic workflow is a person. Someone trying to run their business, do their job, earn a living, solve a problem. The governance frameworks we build today will define how this technology is implemented for decades to come, and its impact on real people, with real problems and real needs.
That's the standard against which Stability believes we should measure AI governance efforts, and it's exactly why it's so important to get AI governance right from the outset. The space is evolving faster than any framework can keep pace with, which makes early and thoughtful contributions like IMDA's all the more valuable. So we're grateful to be part of shaping this conversation at the national level and take this responsibility seriously.
🔗 https://www.imda.gov.sg/assets/c0a78f6e-7bd4-485b-ae57-1dfe4246478a.pdf