NuWayBiz Solutions

The Agent-Readiness Scorecard — 8 conditions before an agent is worth buying

An AI agent acts on what it reads, so most of what decides whether it works sits upstream of the agent. This is the checklist version of our data-foundation series: eight conditions, each linking to the piece that works it through. Score one job, not your whole company. The ones you fail are the work.

How to score this

Pick ONE job you would hand an agent first — not your business as a whole. Booking requests, say, or first-pass triage on inbound. Give yourself a point per condition only where you could show someone the evidence today. 7-8: the remaining questions are for the vendor. 4-6: it will work on the easy path and surprise you off it, so start somewhere narrow and reversible. 0-3: pick a smaller job, or fix these first. Scoring one job at a time is deliberate. Nobody has all of this everywhere, and waiting for that is how people never start.

Why “ready” never meant a spotless company-wide database · The five questions to ask the vendor

1. You can name the system that decides who a customer is

This asks for a winner rather than tidy records. When two systems disagree about who someone is, there should be one you would point at and say “that one wins”. Agents do not ask; they pick. If you have never named the winner, the agent names it for you, differently each time, and never mentions it.

One customer, one record, one spelling

2. The number it would act on has been checked against its twin this month

Most people can tell you their systems agree. Far fewer checked recently. This condition is about the checking, not the agreeing: when did a human last open both and compare? An agent inherits whatever drift accumulated since.

The ten-second version of this test

3. You would notice within a day if a feed stopped

A source that quietly stopped updating still answers questions, using facts from whenever it stopped. Nothing errors, so nothing alerts. Score this on how you would find out, not on whether it has happened.

Why a stopped automation looks exactly like a quiet week

4. Somebody would be annoyed if this job were done wrong

A specific person, by name, who would notice and care. Not a team, not a rota. This sounds soft and it is not: work with an owner gets checked, and work without one gets discovered at year-end.

What happens when only one person can rebuild it

5. You know which of your numbers answer different questions

Revenue on the invoice and revenue in the bank are both right and rarely equal. Wherever two of your numbers are measuring subtly different things, you need to know it before something automated picks one. Score a point if you could list those pairs.

Why your systems disagree, and what to do about it

6. You have said out loud which of its actions you cannot undo

Tagging a lead wrong costs a minute. Emailing a customer, quoting a price or cancelling tomorrow leaves the building. Plenty of good agent work is irreversible, so this asks for clarity rather than timidity: you named which is which before granting anything.

Question two of five, on the vendor side

7. Something already tells you what happened, without being asked

Before an agent exists. If your current answer to “what did the system do last week” is somebody opening a tool and looking, that will not scale to something making its own decisions. Score a point if a report already arrives.

Counting both sides of the same week

8. The second-most-technical person could explain the flow

Go and ask them. Not the person who built it. If their explanation has a gap in the middle, that gap is what you will own the day the builder leaves. Their answer is your real score for this one.

The risk that outlives the spreadsheet

Failed a few? That list is the audit.

The conditions you missed are the data-foundation work, in priority order, for the one job you scored. Tell us which came back no and we will tell you which to fix first — and which you can leave alone for now, because some of them genuinely do not matter yet.