PILLAR 02 · AGA
Autonomous Genomic Agents.
AGA deploys and governs AI agents across workflows — with bounded authority and full auditability built in from the moment an agent is created, not added once it's already running.
Back to the Fabric → See OAGL →
What It Replaces.
Unbounded, unmonitored automation scripts — agents that act with whatever access their credentials happened to grant, with no record of what they did or why, until something goes wrong and someone has to reconstruct it after the fact.
How Agents Inherit Governance.
Every agent built on AGA inherits, automatically, the moment it's deployed:
Identity. A verified, non-human identity, distinct from any human user or service account.
Authority. A defined scope of what it's allowed to do — not what it's technically capable of doing.
Provenance. Every action it takes is attributed, timestamped, and linked to the data and policy that justified it.
Human decision points. High-consequence actions require human authorization by architecture — not by convention, not by a policy someone has to remember to enforce.
None of this is configured per agent, by hand, every time. It's inherited from the governed foundation, the same way every other part of the Fabric works.
Bounded, Not Boxed In.
Bounded authority doesn't mean limited usefulness. An AGA-governed agent can execute genuinely high-value, multistep workflows — it just can't exceed the authority it was scoped to have, and every step it takes leaves evidence behind. That's the difference between an agent your organization can actually deploy into consequential work, and one that stays a demo forever because nobody trusts it enough to turn loose.
See the Three Laws of Genomic AI → See OAGL →
Governed to Go.
Stop rebuilding trust. Start building value.