A county rejects automating rare executive-targeted IR until human playbooks stabilize. What candidate-selection judgment is that?
Select an answer to reveal the explanation.
Short Explanation
Rare executive fires are bad places to learn automation—stabilize the human playbook first. Low frequency plus high complexity equals wait. Premature bots make ugly politics uglier.
Full Explanation
A county that rejects automating rare executive-targeted IR until human playbooks stabilize is avoiding premature automation of low-frequency, high-complexity civic incidents. Executive-targeted cases often involve sensitive communications, legal nuance, and exception-heavy decisions. Automating them before humans agree on steps encodes confusion at machine speed. Stabilized human playbooks provide the branching, approvals, and evidence standards automation needs; rarity means the county learns slowly from production runs, so premature bots are especially dangerous.
Why the other options fail by concept: Avoiding premature automation of low-frequency complex phishing triage reviews until playbooks stabilize describes the wrong candidate — the county held back rare executive-targeted IR, a civic incident with legal and communications sensitivity, not phishing triage reviews. Avoiding premature automation of low-frequency complex host containment flows until playbooks stabilize misses the scenario — host containment is an endpoint action flow, not the exception-heavy executive-targeted IR judgment the county made. Avoiding premature automation of low-frequency complex interagency handoffs until playbooks stabilize is the wrong scope — the county delayed its own executive IR automation until human playbooks stabilize, not the handoff of cases across agencies, even though the stabilize-first wording sounds similar.
Exam caveat: "Wait for stable playbooks" is not an excuse to never automate; it is a sequencing rule—document, tabletop, then encode with human gates. Operational check: for an executive-targeted IR scenario, complete a human playbook tabletop with legal and comms, record decision points that require approval, and only then backlog automation for the repeatable enrichment or notification segments.
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