24–30
Build a bounded pilot
Readiness is strong. Define the evaluation set, autonomy boundary, human review, cost ceiling, and rollback plan before building.
AI & Intelligent Systems · 15 factors
A practical 15-point assessment for deciding what to build now, pilot carefully, or avoid. Score one real use case in ten minutes.
Before you score
Avoid scoring a vague goal such as 'use AI in customer support.' Score a concrete workflow: 'draft answers to tier-1 support tickets using our approved knowledge base, with an agent reviewing every response.'
Score evidence, not optimism. If you cannot point to the data, owner, metric or control, score it 0 or 1.
A successful result changes revenue, cost, risk, speed, or customer experience in a measurable way.
The current task, inputs, outputs, exceptions, and handoffs are documented.
The task occurs often enough for improvement to matter.
Required data is available, lawful to use, and accessible in a usable format.
Examples are representative, current, and sufficiently complete.
A reviewer can determine what a good answer looks like.
Accuracy, quality, latency, cost, or another success measure is defined.
The cost of a wrong output is understood and proportionate to the controls.
A named person can review, approve, override, or escalate when needed.
Access, sensitive data, retention, and vendor exposure are addressed.
The system can receive inputs and return outputs reliably.
A business owner is accountable after launch, not only during the build.
Users have a reason to trust and adopt the changed workflow.
Build, model, infrastructure, review, and monitoring costs have limits.
The pilot can be contained, rolled back, or switched off without disruption.
Turn the score into a decision
24–30
Readiness is strong. Define the evaluation set, autonomy boundary, human review, cost ceiling, and rollback plan before building.
16–23
The idea may be valuable, but one or more foundations are weak. Address the lowest-scoring factors before committing to implementation.
0–15
The current use case is not ready. Clarify the workflow, improve data and evaluation, or select a more suitable problem.
Your weakest factors
Your next three actions
Next step
The AI Feasibility & Architecture Assessment tests up to three use cases against your data, cost and risk, and ends in a go / no-go architecture.
Your score and weakest factors are added to the message for you.
Score every factor, then get a PDF of your AI readiness scorecard built from your answers: your total and result, your weakest factors, all fifteen scores and the next steps. (Before every factor is scored, you get the blank scorecard.)