Decision 1 of 7
Readiness scoring
AI Readiness Scorecard
Use this to score whether one workflow is ready for implementation or needs strategy first.
Step 1
Answer guided questions
Step 2
Get verdict
Step 3
Use result in strategy session
Decision Tool
Turn a workflow idea into a yes, no, or fix-first call.
4-6 minutes7 decisions
Workflow clarity
Scorecard dimensions
Example output from the ADA method.
Workflow clarity
Can the team name the repeated process and trigger?
Business value
Does delay, rework, missed follow-up, or leakage matter enough to fix?
Evidence quality
Are the required forms, notes, fields, examples, or policies available and trusted?
Owner capacity
Is one person accountable for reviewing and improving the output?
Where AI does not belong
Can the team name what AI must not decide, send, change, or promise?
Measurement
Is there a baseline metric and a review cadence?
What the score means
A high score means this workflow can actually move a number, response time, margin, capacity, retention, with AI deployed into it. A low score does not mean AI is useless. It means the workflow needs to be cleaned up before any deployment will pay back, no matter how strong the model.
What most readiness tests miss
Many readiness tests ask about culture, tools, or strategy. ADA scores whether the next workflow can be run, reviewed, measured, and corrected by the people who own it.
How to use it
Score three to five candidate workflows, then choose the one with the best mix of value, evidence, low risk, and reviewability.
Quality Bar
Use these checks before calling the workflow ready.
The scorecard compares workflows, not departments.
The scoring conversation exposes unknowns instead of hiding them.
The output is a decision: implement, clean up first, park, or reject.
The chosen workflow has a named reviewer and a measurable business reason to exist.
The team can explain why this workflow is first and why other ideas are later.
Where This Helps
Use it before build decisions get expensive.
AI roadmap planning
Department prioritization
Founder-led implementation
First workflow selection
Research Basis
Built against practical AI risk and quality standards.
Related Resources
Read this with the workflows and service pages it supports.
FAQ
What is an AI readiness scorecard?
It is a scoring tool for deciding whether a workflow has enough clarity, evidence, owner capacity, risk control, and measurement to deploy AI.
Who should complete it?
The person closest to the workflow should complete it with the owner who will review the AI output.
What score is good enough?
ADA would rather see one workflow with strong evidence and a clear owner than five exciting ideas with no review path.
Next Step
Use this result on a real workflow.
Bring the bottleneck, current handoff, and the result you want to improve.