Quick answerDoes this change if the employee is a manager who already has high approval authority? No, the same rule applies at every tier: the agent mirrors whatever authority that specific logged-in employee already holds, whether that ceiling is low or high. Should the agent log who it acted on behalf of, not just what it approved? Yes. The audit record needs both the employee identity and the customer-facing outcome, since a dispute later about who authorized an exception is a question about the employee's own decision, which the agent only assisted.
Quick answer
An internal, employee-facing AI agent should never hold its own independent authority to grant a customer-impacting exception; it should hold, at most, the same authority ceiling the employee using it already has, applied faster and with better documentation. Treat the agent as an authority multiplier for the human, not a second, separate approver: if the requested exception exceeds what that specific employee's role is already permitted to approve, the agent should route to the next human approval level, the same as it would if the employee tried to approve it manually without any AI tool at all.
This is a different problem than the customer-facing agent's own authority
Setting the no-human-review refund threshold for a customer-facing AI agent is about how much a customer-facing agent can approve entirely on its own, talking directly to the customer. An internal, employee-facing agent is structurally different: there is always a human employee in the loop who is the one actually taking the action on the customer's behalf, and the agent's job is to help that employee decide faster and more consistently, not to become an independent approver standing in for them.
This is also different from shadow AI
The shadow AI unauthorized-tool governance problem covers employees reaching for tools your company never sanctioned or reviewed. This post assumes the opposite: a tool your company built, reviewed, and deployed on purpose, specifically to help employees do their jobs. The question here is not whether the tool is authorized to exist, it is whether the tool's authority ceiling matches the authority ceiling of the specific employee using it in that moment.
Why the authority ceiling has to follow the employee, not the tool
A junior support employee and a senior account manager typically have different approval limits under your existing policy even before any AI tool enters the picture. An internal agent that grants the same maximum exception regardless of which employee is logged in effectively promotes every employee to the most senior approval tier the moment they open the tool, which defeats the entire purpose of having tiered human approval authority in the first place. The agent's permission check has to key off the actual employee's actual role and existing limits, pulled from the same source of truth your manual approval process already uses, not a separate, tool-specific permission list that can drift out of sync.
Where the agent adds real value without expanding authority
The agent can legitimately speed up and improve exception decisions within the employee's existing ceiling: surfacing the customer's history and prior exceptions granted, calculating whether a requested discount fits inside a discretionary goodwill-credit budget that already exists for this purpose, and producing a consistent audit record of why the exception was granted. None of that requires expanding what the employee is authorized to approve; it just makes the existing authority easier and more consistent to exercise correctly.
What happens when the request exceeds every tier the agent can check
Route to a named human at the next approval level with a pre-filled summary, the same pattern used for escalations elsewhere in the agent stack, rather than letting the agent either silently deny the request or silently approve it anyway because no explicit rule blocked it. An internal agent that defaults to approving unclear cases, because refusing feels unhelpful to the employee it is assisting, is the single most common way this kind of tool quietly becomes a second, unaccountable approval channel.