AI CONSULTING
An AI readiness assessment is a structured review of your processes, data, systems, and team that tells you which AI projects will actually pay off before you spend implementation money. It comes first because the most expensive mistake in AI is building the right solution to the wrong problem. In our client work, businesses that skip this step usually end up with a chatbot nobody uses or a subscription nobody opens. Businesses that start here end up with a short list of projects ranked by return, priced in advance, and matched to systems they already own.
What Is an AI Readiness Assessment?
An AI readiness assessment is a short consulting engagement, usually two to three weeks, that maps how your business runs today and identifies where AI can remove cost or capture revenue. The deliverable is a scored list of opportunities with expected payback, not a sales pitch for a specific product.
The enterprise versions from Cisco and Microsoft score data infrastructure and governance across dozens of dimensions. For a small or mid-sized business, that depth is overkill. What you need answered is simpler: which three or four things in this specific business should AI handle first, what will each cost, and what will each return. According to McKinsey’s State of AI research, 78 percent of organizations now use AI in at least one business function, yet most report no meaningful bottom-line effect from it. The gap between using AI and profiting from it is exactly what an assessment exists to close.
What an AI Readiness Assessment Covers
A proper assessment covers five areas, and every one of them exists to answer a money question, not a technology question.
| ✓ | Process inventory. Where hours actually go: intake, quoting, scheduling, follow-up, reporting, invoicing. The leaks are almost never where owners think they are. |
| ✓ | Lead and revenue flow. What happens to a call, form fill, or DM after it arrives, and how many die waiting. Missed and slow responses are the single most common finding we see. |
| ✓ | Systems and data. What your CRM, calendar, phone system, and website can connect to, and whether the data inside them is clean enough to automate against. |
| ✓ | Team capacity. Who would own each new workflow, what they can maintain, and what would quietly get abandoned in month two. |
| ✓ | Budget and ROI scoring. Each opportunity gets a build cost, a monthly run cost, and a projected return, then gets ranked. Anything that cannot beat its own cost gets cut here, before you pay for it. |
How Does the Assessment Process Work, Stage by Stage?
The process runs in four stages over two to three weeks. Your total time commitment is about six to ten hours; the rest happens on the consultant’s side.
| Stage | What happens | You provide | Time |
|---|---|---|---|
| 1. Discovery | Interviews with the owner and the people who run intake, sales, and delivery. Goal is where hours and leads actually go. | 2 to 3 hours of interviews | Days 1 to 4 |
| 2. Systems review | Read-only look at your CRM, phone logs, calendar, website analytics, and current AI subscriptions. | Guest access to key systems | Days 4 to 8 |
| 3. Opportunity scoring | Every candidate project gets a build cost, run cost, and projected return, then a rank. Weak ideas die here. | Nothing | Days 8 to 12 |
| 4. Roadmap and readout | A written 30, 60, and 90 day plan and a live walkthrough. You keep the document either way. | 1 hour readout call | Days 12 to 15 |
WHERE TO START
This four-stage process is exactly what the Dorian Media Group AI Opportunity Audit delivers for a flat $997. Two weeks, your numbers, a ranked roadmap you own whether or not we build anything after it.
What Causes Delays, and What Rushing Breaks
Delays come from three places, and all three are on the client side: system access that takes a week to grant, key staff who cannot find an hour for their interview, and nobody knowing where the numbers live. If you can name your monthly lead count and your average job value on day one, your assessment finishes on schedule.
Rushing breaks something worse than the timeline. When a business skips discovery and jumps straight to buying, the tool gets chosen before the problem is defined. That is how a company ends up paying $400 a month for an AI receptionist when its real leak was quotes going out four days late. The most common thing we find in the first hour of an assessment is a follow-up gap the owner had never measured, and it is rarely the problem they called about. Definition work is cheap. Building the wrong thing is not, and a staged AI rollout for small business only works when stage one is aimed at the right target.
How Much Does an AI Readiness Assessment Cost?
A small business AI readiness assessment runs from about $997 to $5,000 as a fixed-scope engagement, while mid-market and enterprise versions run $5,000 to $25,000 and beyond. Price tracks the number of departments and systems reviewed, not the quality of the thinking.
$997
Fixed-scope audit for one small business, like the DMG AI Opportunity Audit. One location, core systems, ranked roadmap.
$2,500 to $5,000
Multi-department review for established SMBs with several systems, staff workflows, and locations in scope.
$5,000+
Mid-market and enterprise engagements covering data governance, compliance, and infrastructure alongside opportunity scoring.
If a firm quotes you an assessment north of $10,000 for a single-location business, walk. The full picture of what advisers charge at every engagement level is in our breakdown of AI consultant cost and engagement types.
How Do You Measure AI Readiness?
You measure AI readiness by scoring the five areas above as ready, almost ready, or not yet, then reading the pattern rather than the total. A business can be fully ready on budget and still stall for six months because its contact data lives in four places. In our assessments, most small businesses land almost ready in three of the five areas, and data is the usual blocker.
Ready looks like this: your leads, jobs, and revenue live in systems with clean fields, one person can pull last month’s numbers in five minutes, and somebody on staff owns each workflow you want to automate. Businesses in this state can go from roadmap to first live workflow in under 30 days.
Almost ready is the most common state: the systems exist but the data inside them is inconsistent, or the numbers live in the owner’s head. This is fixable in two to four weeks of cleanup, and a good assessment builds that cleanup into stage one of the roadmap instead of pretending it is not there.
Not yet means paper processes, no CRM, or nobody with room to own anything new. AI is not the next step here; basic systems are. Telling a client that costs us a project and saves them $15,000, and it is the assessment doing exactly its job.
Should Every Business Start With an Assessment?
No. If you have one obvious, contained problem, say every call after 6pm goes to voicemail, you can skip straight to fixing that one thing and measure the result. An assessment earns its fee when the problems are plural, the budget is real, and picking the wrong first project would cost you a quarter. That describes most businesses spending $10,000 or more on AI consulting and implementation for the first time. Spending $997 to protect a $15,000 decision is the cheapest insurance in the building.
AI Readiness Assessment FAQ
How long does an AI readiness assessment take?
Two to three weeks for a small business, and your own time in it is six to ten hours. Enterprise assessments covering data governance and infrastructure can run six to twelve weeks, which is one of several reasons that format is the wrong fit for an SMB.
What do I need to prepare before it starts?
Three things: guest access to your core systems, an hour each from the two or three people who run intake and delivery, and your basic numbers, meaning monthly leads, average job value, and close rate. If you have those ready, discovery starts on day one instead of day six.
What deliverable do I actually get?
A written roadmap that ranks your AI opportunities by projected return, with a build cost, monthly run cost, and 30, 60, and 90 day plan for each. You own the document and can hand it to any builder, including one that is not the firm that wrote it.
Is an AI readiness assessment worth it for a small business?
Yes when you are about to spend five figures on implementation and no when you have a single contained problem you can fix and measure directly. The assessment’s job is to keep a $15,000 build from being aimed at the wrong target, and at $997 that protection pays for itself with one avoided mistake.
What happens after the assessment?
You start with the top-ranked project and nothing else. One workflow goes live, runs for 30 days, and gets measured against the projection in the roadmap. If the numbers hold, you fund the next one from the savings. If they do not, you stopped after one small bet instead of five.
AI OPPORTUNITY AUDIT
Know Your Three Best AI Projects Before You Spend a Dollar Building
The $997 AI Opportunity Audit runs this exact four-stage process on your business and hands you a ranked roadmap with real costs and projected returns. Two weeks, your numbers, no obligation to build with us.
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DORIAN MEDIA GROUP
Dorian Media Group is a creative AI agency and production company that unifies brand strategy, premium content, website design, and AI powered marketing into one cohesive system built to grow your business.
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