Governance
The people, meetings and authority to make AI decisions
Governance readiness asks whether the people, meetings and authority to make AI decisions exist. Having a policy document is not the same as having governance.
Overview
What governance readiness asks
- Governance readiness asks whether the organisation has the decision-making structures to oversee AI use. This is most acute in regulated environments. A bank cannot deploy a model that influences lending decisions without a clear line of accountability, a model risk framework, a monitoring approach and a rollback plan. Governance readiness is not the same as having a policy document.
- It is having the people, the meetings and the authority to make decisions when something needs to change. The failure mode is specific: a pilot reaches the point of production deployment and stalls, because no one has the authority to say yes and no one is willing to be the person who said yes when things go wrong.
- Closing the governance-readiness gap is the deliberate maturation of governance structures: naming the accountable individual, scheduling the meeting that approves a deployment, defining the rollback path, agreeing the monitoring cadence. Governance readiness is the dimension Autonomous Agency depends on most heavily, because Agency moves human judgement upstream into the mandate, and if the structures that author and revise the mandate do not exist, Agency cannot operate safely.
Contact
Want to assess governance readiness?
Reach out for a conversation about the decisions your organisation will need to make about AI, who has the authority to make them, and where the gaps sit.
hello@nutropic.ai