A short, absolute list of tasks no agent should be configured to do: safeguarding referrals, eligibility decisions, payment authorisation and public statements on live matters, where the human is the safeguard.
This series has argued that most tasks pitched as agents are actually skills wearing an agent's price tag, and that the method has to exist on paper before any of the three gets built. This piece deals with the small number of tasks where the right answer to "should we automate this" is simply no, not yet, not with current tooling, not regardless of how well the method is written down. This is a governance note, not a technical one, and it belongs alongside the red lines this series set out early on rather than inside the tool-skill-agent comparison itself.
The list is short deliberately. A long list of things an organisation refuses to automate is usually a sign of nervousness rather than judgement, and it tends to erode the same way a policy with too many exceptions does. A short, absolute list survives contact with a persuasive vendor demo. A long, negotiable one does not.
A task belongs on the never-configure list when getting it wrong causes harm that cannot be meaningfully undone, and where a human's presence in the loop is not a formality but the actual safeguard. This is a narrower test than "high stakes" or "sensitive", both of which describe most of what this series has already covered elsewhere with lighter controls, review cycles, permitted-use tables, escalation paths. The never-configure list is for the genuine edge: decisions where automating even the well-documented, well-governed version of the task removes something that only human judgement, in the moment, was actually providing.
The never-configure list is not a list of tasks an agent cannot technically do. Several of them, an agent could probably do adequately most of the time. It is a list of tasks where "adequately, most of the time" is not the actual bar, and where the human's role is the safeguard, not the bottleneck.
Every addition to this list is a claim that no future improvement in tooling will ever change the calculus, which is a strong claim to make about anything except genuine harm-and-judgement cases. Padding the list with tasks that are merely uncomfortable, rather than genuinely irreversible, teaches the organisation to treat the list as negotiable, and a negotiable never-configure list is a contradiction that eventually gets negotiated away exactly when it matters most. Keep it to the handful of tasks that meet the actual test, and defend that handful absolutely rather than defending a long list only loosely.
Keep the list of tasks the organisation will never configure an agent to do short, limited to genuine harm-and-judgement cases where a human's presence is the actual safeguard rather than a formality, and treat that short list as absolute rather than negotiable.
No external statistic cited; this article presents an internal governance argument rather than third-party evidence.
If nobody can write down in plain steps how a task is done today, buying an agent for it is premature. The written method is the real readiness test, and it surfaces hidden disagreements early.
Custom Agents & Tools · 4 minExplainer · 24 September 2026Why an AI policy should open with specific permissions, each naming the task, the safeguard and the data boundary in one sentence, instead of leading with a list of prohibitions staff will route around.
AI Use Policy · 4 minGuide · 24 September 2026A template for the permitted-use table in an AI policy: one row per role and task, with four columns for role, task, safeguard and data boundary, so staff can find answers in seconds.
AI Use Policy · 3 minIf this is the question on your desk, a thirty-minute call tells you whether the service fits, or that you do not need us yet.