An escalation path for AI incidents that is set up alongside the existing structure gets skipped in practice. Not because no one wants to use it, but because there is already a path: for data breaches, for complaints, for operational disruptions. Whoever has to choose between two routes at the moment of an incident chooses the route they already know. A second process next to the first is not extra assurance, it is a branch that disappears under pressure next to the first.
The question is not whether there should be an escalation path. The question is where it connects. An escalation path for AI works when it does not open a new front door, but gives an existing front door an extra entrance. That means: the same reporting structure already used for incidents, supplemented with a question that indicates whether AI played a role. The same owner who is already responsible for handling risk, with a clear picture of when an AI-related signal should land on their desk. The same reporting line upward, without a separate AI line next to it.
What needs to be in it is therefore less a list of steps and more a set of connection points: who reports, where it comes in, who assesses whether it escalates, and to whom. At each of those points, the question is not "how should this work" but "where does this already happen, and what needs to be added there to take AI into account". An escalation path built that way does not need a separate instruction, because it does not require any different behaviour than what is already known.
There is a recognisable pattern: an organisation creates an AI-specific process, with its own form, its own committee, its own reporting moment. On paper, that is complete. In practice, it gets ignored, and not out of unwillingness. A second process requires someone, at the moment of an incident, to first determine whether it concerns AI before knowing which route to follow. That extra step falls away as soon as there is time pressure, and the existing path — the path already used for similar situations — wins.
On top of that, a standalone AI process usually gets a separate owner, distinct from the person already responsible for risk escalation in general. That splits the overview at a moment when overview is needed. Whoever receives a signal about an AI system that is not working as intended needs to be able to place that alongside other risk signals, not in an isolated channel where it is assessed separately from the rest of the organisation.
Embedding means that the escalation path for AI is not a visibly separate component, but an extension of what already exists. That requires a few concrete choices, regardless of sector: which existing reporting channel gets the question about AI involvement added to it, which existing risk owner gets the authority to assess whether something needs to go further, and at which existing reporting moment AI is taken into account instead of setting up a new moment alongside it.
Those choices depend on how the organisation is already set up. An organisation with a strong compliance function places the assessment there; an organisation where risk management sits within the operational line places it there. There is no fixed scheme that produces the same escalation path for every organisation, because the escalation path is by definition a reflection of the structure into which it is placed.
This embedding touches on how risks are already classified — what that connection to the existing risk structure looks like is worked out on the page about connecting to the existing risk classification — and on what happens to an escalation once it reaches the board table, as described on the page about a board report that fits on one page. Without that connection, an escalation path remains a document that sits somewhere, instead of a route someone actually follows at the moment it is needed.
An escalation path is only useful if there is something that escalates. That requires a form of monitoring that produces signals before an incident unfolds, not just a reconstruction afterwards. How that monitoring component is set up without it becoming a new reporting burden is described on the page about monitoring that connects to existing reporting instead of adding a new layer. Together, inventory, monitoring and escalation form a chain: without any one of the three, the rest does not work fully either.
Whoever maps out this route usually does so from a role with responsibility for risk or governance. What a board member needs to know in this context is summarised on the page what a board member needs to know about AI risk; the technical and operational side of the same question can be found on the page what a CIO needs to know about AI risk. Both angles come together in the escalation path itself, which operates at the intersection of board-level responsibility and operational execution.
This page describes the mechanism; the precise setup depends on the organisation and is not fixed here. FTE TO AI is working on tooling that supports this embedding; whoever is already working on this can sign up for the waiting list.
An escalation path arranges what happens once something goes wrong or threatens to go wrong. A different question, which often remains separate from it, is what AI is already doing daily in ordinary work. The work scan from FTE TO AI calculates per task which part of the work can be taken over by AI, providing a picture of the side of AI use that is not incidental, but structural — a picture that is useful alongside the risk inventory this page is about.
Vraag maar. Governance begint bij weten wat er draait — ook wat niemand heeft goedgekeurd.
Answers come from this site’s knowledge base. Not tailored advice, and not a scan of your company.