AI Operating Assessment: What It Is, What It Includes, and What It Costs
Most companies do not have an AI problem. They have a sequencing problem. They know AI could help, but they do not know which process to automate first, what it would cost, or whether it would actually pay back. So they either freeze, or they greenlight a flashy pilot that quietly dies. An AI Operating Assessment fixes the sequencing problem before you spend a dollar on a build.
What is an AI Operating Assessment?
An AI Operating Assessment is a paid diagnostic engagement. It audits how your business actually runs, ranks the workflows costing you the most time and money, scores how ready those workflows are to automate, and produces a roadmap with a hard ROI estimate. It is the step that turns “we should do something with AI” into “here is the one thing to build first, here is what it costs, and here is what it returns.”
It is deliberately not free. A free audit is a sales call wearing a lab coat. A paid assessment is a deliverable: you are buying a costed, defensible plan that has value whether or not you ever hire the firm that wrote it.
What does the assessment include?
The ShooflyAI Operating Assessment is a 90-minute live diagnostic followed by a bespoke report delivered within 48 hours. The report includes:
- Ranked bottlenecks. The specific processes bleeding the most hours and dollars, in priority order.
- An AI-readiness score. Where your data, tools, and workflows are ready to automate, and where they are not yet.
- A build-vs-buy analysis. Where an off-the-shelf tool is the right answer, and where a custom system pays for itself.
- An ROI model. The expected return on automating each priority workflow, so the number drives the decision.
- A recommended pilot. One concrete first build, scoped to move a single KPI in 30 to 45 days, so you see real output fast.
You leave with a plan you could hand to any competent team and execute.
What does an AI Operating Assessment cost?
The assessment is $6,000, and the full fee is credited 100% toward your retainer if you move forward. If you do not, the roadmap is still yours, with enough detail to implement on your own.
That structure matters. You are not gambling $6,000 on a vendor pitch. You are buying a diagnostic that either becomes the first installment of real work or stands alone as a plan you own.
Why pay for an assessment instead of jumping straight to a build?
Because the failure rate of “just start building” is brutal. An MIT report found that roughly 95% of enterprise generative-AI pilots delivered no measurable impact on the P&L. The models were rarely the problem. The problem was building the wrong thing, in the wrong order, with no baseline to measure against.
An assessment is the cheapest insurance against that outcome. It forces a real ROI number to the front of the process, so the first thing you build is the thing most likely to pay back, with a KPI you agreed on before a single line of code.
Who is it for?
It fits mid-market operators, roughly $10M to $75M and up in revenue, with repeatable processes that slow the business down. These are companies too big for DIY tools and too lean for an enterprise consulting army. The common thread is a leader who wants a measurable result and a system the company owns, not another per-seat subscription that grows forever.
Do you own what comes out of it?
Yes. The assessment is the front of an engagement model built on ownership. When you build, you own the code, the data, the models, and the IP on full payment. Everything runs on your infrastructure, so if you ever walk away, the system keeps running. The assessment is where that path starts: a hard number first, then an owned asset, not a rented dependency.
Start with the number
The whole point is to lead with proof, not promises. If you want a costed, defensible plan for where AI actually pays back in your business, book an AI Operating Assessment. You get the roadmap in 48 hours, the fee credits to your retainer if you move forward, and you own everything that follows.
Frequently asked questions
What is an AI Operating Assessment?
It is a paid diagnostic engagement that audits how your business actually runs, ranks the workflows costing you the most time and money, scores your readiness to automate them, and delivers a roadmap with a hard ROI estimate before you commit to any build.
What does an AI Operating Assessment cost?
The ShooflyAI Operating Assessment is $6,000, and the full fee is credited 100% toward your retainer if you move forward. You pay for a diagnostic, not a sales pitch, so the roadmap has standalone value whether or not you build with us.
Why pay for an assessment instead of starting a build?
Because most AI projects stall. An MIT report found roughly 95% of enterprise generative-AI pilots delivered no measurable P&L impact. The assessment puts a real ROI number on the work first, so you build the thing that pays back instead of the thing that demos well.
Who is an AI Operating Assessment for?
Mid-market operators, roughly $10M to $75M and up in revenue, who have repeatable processes eating time and want a clear, costed plan before investing in custom AI. It fits leaders who want measurable ROI and a system they own, not another SaaS subscription.
What do you walk away with?
A bespoke 48-hour report: ranked bottlenecks, an AI-readiness score, a build-vs-buy analysis, an ROI model, and a recommended pilot scoped to move one KPI in 30 to 45 days. The report is yours to keep and implement, with or without us.
Do you own what gets built afterward?
Yes. On full payment you own the code, the data, the models, and the IP. What we build runs on your infrastructure and keeps running if you ever stop working with us. You are buying an asset, not renting access to a black box.