Most small businesses don't have an AI problem. They have a clarity problem. Before you buy a tool, hire a vendor, or automate anything, you need to know which workflows are actually worth targeting, what your data situation looks like, and whether the ROI is real. That's what the assessment answers.
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There are plenty of free AI readiness checklists online. They'll give you a score. They won't tell you which of your workflows to automate first, whether your data is actually usable, or what a realistic implementation would cost for your business specifically.
The QP AI Readiness Assessment is a structured working session — a real audit conducted by an engineer who has spent 20+ years building and validating complex systems. You get a written report with a prioritized opportunity map, not a PDF full of generic recommendations.
If you move forward with implementation, the assessment investment credits toward the project. You're not paying twice for the same scoping work.
30 minutes to understand your business, your current tools, and where the biggest friction points are. No prep required on your end.
A structured working session with your team to map key workflows and evaluate your data environment. Typically 2–4 hours across one or two sessions.
Each identified use case is scored on ROI potential, implementation complexity, and fit with your team's capacity. The output is a ranked list, not a wish list.
Written report delivered within 2–3 weeks of kickoff. Followed by a live session to walk through findings, answer questions, and agree on next steps.
Most AI implementations that fail don't fail because the technology didn't work. They fail because no one asked the right questions before starting.
Teams automate the workflow that's most visible, not the one with the highest ROI. The assessment surfaces where AI actually moves the needle for your specific operation.
AI is only as good as the data it runs on. Discovering a data quality problem after an implementation starts is expensive. Finding it during the assessment costs almost nothing to fix.
Without a scoped view of your environment, implementation costs are a guess. The assessment produces realistic estimates tied to your actual tools, data, and workflows — not industry averages.
A structured review of your business to determine where AI can realistically deliver value, what it will cost, and what needs to be in place before implementation starts. At QP, it covers your workflows, data environment, team capacity, and existing tools — and produces a written report with a prioritized opportunity map.
Free tools give you a score. This gives you a plan. A 5-minute quiz can't map your actual workflows, evaluate your data quality, or tell you which AI use case will deliver the fastest ROI for your specific operation. The QP assessment is a working engagement, not a form.
Typically 2–3 weeks from kickoff to final report delivery. That includes a discovery session, a workflow and data review with your team, opportunity scoring, and a live readout of findings.
Yes. If you move forward with an implementation engagement, the assessment investment credits toward the project. You're not paying twice for the same scoping work.
Then we'll tell you that clearly. The assessment is designed to surface reality, not justify a predetermined answer. If the numbers don't support implementation, you leave with a clear picture of what would need to change before they do — and that's still a useful outcome.