Blast radius is how much damage a wrong AI decision can do before a person catches it, the measure that should decide which decisions get handed to an agent, not how sophisticated the agent looks in a demo.
Readiness for handing a decision to an agent runs on blast radius, not on how impressive the system sounds in a pitch. A bounded decision has a small, recoverable blast radius: an agent scoring and prioritizing inbound signal that gets it wrong just leaves a rep looking at a lead that should have ranked differently. Annoying, not damaging, and easy to re-sort once someone notices.
An unbounded decision is a different category entirely. Letting an agent autonomously reply to a live prospect, or book a meeting nobody asked for, means a wrong call sits in a real inbox attached to a real company. There's no quietly re-sorting that away once it's sent.
The mechanism behind a scoring agent and an autonomous-reply agent can be identical. What changes is what happens when either one is wrong. That's the entire argument for starting with bounded decisions and earning the way to unbounded ones, if a team ever needs to hand those over at all.
Score any candidate decision by what a wrong call costs, not by how good the demo looked. If a mistake is recoverable inside a queue, it's a reasonable place to start. If a mistake lands in a live inbox or a signed commitment, treat it as unbounded and keep a person in the loop until the failure modes are well understood.
Teams size AI readiness by how many agents they're running or how advanced the tooling looks. Blast radius doesn't care about agent count. A single unbounded agent making decisions on live prospects can carry more risk than a whole fleet of bounded agents sorting a queue.
Tell us how your motion runs today. We'll show you what we'd engineer.
Contact us