The Readiness Evaluation
Not a black box. A scored process.
Every business we evaluate is scored against the same five readiness dimensions. Here is exactly what we look at — and what gets a recommendation stopped.
The evaluation exists because most AI projects fail not because the tool is weak, but because the business was not ready to use it. We run a separate process. Independent of vendor input. Focused on your readiness, not their pitch.
The five dimensions below are not a checklist. They are the structural questions we ask before any tool is introduced into your business. A fail on a Critical dimension ends the evaluation — there is no weighting that compensates for a fundamental readiness gap.
The Method
Know → Standardize → Automate → Secure → Prove
Five stages. No stage is skipped. If any stage fails, the engagement stops there. We do not move to the next stage until the previous one is verifiably complete.
Know
Understand the real business problem, current workflow, decision owners, data reality, and operating constraints. We diagnose before we prescribe.
Standardize
Identify what must be clarified, documented, cleaned up, or aligned before AI or automation can work. No tool is deployed on a broken process.
Automate
Recommend automation only where the process is mature enough to support it — not where it is easiest to sell. We do not automate confusion.
Secure
Check whether risk, access, data handling, and operational control are properly considered before scaling. Accountability before scale.
Prove
Validate whether the proposed path can work before committing larger investment. No proof, no scale. Truth before money.
Readiness Dimensions
What we score your business on.
Is the workflow documented, consistent, and understood by the people who actually run it? If the process varies between team members, automation will lock in the inconsistency. We map what actually happens — not what should happen.
Can your team describe the current process the same way twice?
Can a new hire follow it without asking the same questions repeatedly?
What happens when the person who knows the process is not available?
Passes when
Passes when the team can describe the process the same way twice, and a new hire can follow it without hand-holding.
Fails when
Fails when the process lives in someone's head, varies between team members, or has never been written down.
Non-Negotiable
Immediate readiness disqualifiers.
These conditions end an evaluation regardless of performance on any other dimension. They are not negotiable and they do not have workarounds.
The process has never been documented
If the workflow lives entirely in someone's head, there is nothing for AI to run on. Documentation must exist first.
No decision owner with budget authority
If the person who controls the budget is not directly involved, the mandate will stall at the first approval gate.
The team has been told, not involved
If the team sees AI as something being done to them instead of with them, adoption will fail regardless of tool quality.
Leadership wants results without changing process
If the expectation is that AI will fix operations without anyone changing how they work, the project is already dead.
Previous improvement initiatives abandoned within 90 days
A track record of starting and stopping operational changes means the environment is not stable enough to support AI.
The vendor is already chosen
If the tool is pre-selected, a readiness assessment cannot change the outcome. That is not an evaluation — it is a justification exercise.
Want to know if your business is ready?
Submit a readiness intake and we will run your situation through this framework. If the conditions are not right, we will tell you before you allocate budget.