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An AI readiness assessment can be totally free, or it can cost you a few thousand dollars. Netrix offers a free review. NocodeAssistant’s AI readiness will cost $999 USD. Elevate AI charges $3,500, and Arcesso charges $3,999.
The price of an AI audit typically depends on what the team checks and the scope. If the audit is checking the readiness of one process, you can expect it in a day or two. But if you’re auditing an entire company, it will take longer.
| Assessment | Price | What you get | How long it takes |
|---|---|---|---|
| Netrix data review | Free for a limited time | Staff interviews, scores for four areas of your data setup, advice, and a plan | 2–3 weeks, with basic findings in 1–2 weeks |
| Our AI readiness audit | $999 | A review call, ranked ideas, advice on building or buying, cost and time estimates for the top three, a report, and a call to discuss it | Report within five business days of the review call |
| Elevate AI assessment | $3,500 | A review of daily work and data, ranked AI ideas, estimates of their value, and an action plan | 2–3 weeks |
| Arcesso assessment | $3,999 | Staff interviews, data checks, AI tests with sample inputs, ranked ideas, and a 90-day plan | Two weeks, with about 4–6 hours of your team’s time |
| NeenOpal company-wide assessment | Quote after a call | Checks across six areas, staff interviews, cost and value estimates, and a plan for leadership | 4–6 weeks, with about 12–16 meetings of 30–90 minutes each |
You can also try a DIY tool. Cisco’s readiness tool will ask you questions and help you assess how ready your business is for AI. The questions are useful if you want to understand how an AI readiness assessment is done.
Assessing one workflow is different from reviewing all your departments and processes.
A narrow audit involves one or two people, a handful of tools, and one or two processes, but a company-wide assessment requires interviews with several department heads, understanding how data flows between systems and departments, and evaluating whether existing processes are ready for AI.
So the more processes and stakeholders you have, the more work it generally is.

An assessment may find possible AI opportunities based on interviews and examples that you share. A deeper assessment, on the other hand, will check your actual records. It will test whether AI handles unusual cases and see how reliable the results are.
For example, suppose you want AI to handle your incoming customer request. A basic assessment can identify the manual steps and estimate the potential cost savings. A deeper assessment tests sample requests and checks for data errors like missing account numbers, conflicting instructions, and edge cases that require human approval.
These tests take additional time, but they can find problems before you spend money on development.
A readiness score or a simple recommendation is different from a plan with estimated costs, timeline, dependencies and risks.
So before you compare quotes, find out whether the report includes recommendations, the evidence behind them, and enough detail for another development team to take it forward.
Also, check whether you’re paying a fixed fee or an hourly rate. With hourly billing, you’ll need to agree on an expected number of hours and a spending limit before starting.
Your team’s time will need to be factored in because someone will need to explain the current workflows, answer questions and provide sample data.
So, suppose you purchase a $999 audit. Your team will need to spend 6 hours preparing and joining calls, and you value that time at $50 per hour.

So the total resource cost would be about $1,299 ($999 audit fee plus $300 of staff time).
You’d also need to pay for the data cleanup because an audit will, in most cases, find duplicate customer records, missing identifiers, or inconsistent information.
Finding these problems is part of the assessment, but fixing thousands or millions of records may require a separate project.
Then you have the development and running costs because the audit will help you decide what to build. Once you decide to move forward, development will require further investment.
The development would require software subscriptions, API usage, integrations, training, maintenance, etc.

Some providers, like NocodeAssistant, credit the audit fees toward development if you choose to go ahead.
So, check the conditions before you finalise the consultant.
And ask how the consultant estimates the financial benefits, because saving 40 hours per month doesn’t automatically mean 40 hours of billing will disappear. Those savings create value when they reduce overtime, increase capacity for paid work, or produce another measurable benefit.
The process starts with a questionnaire about your team and existing processes, plus a 90 minute review call.
We then return a written report with ranked opportunities, a buy recommendation, and the estimated cost and timeline for the top three ideas. You receive the report within five business days of the call, and a separate 30-minute call is included to discuss the findings.
You can have a look at our sample AI readiness audit report here.
It follows an illustrated 50 person service company where five account managers spend 268 hours every month preparing and checking reports.
Rather than immediately recommending an AI solution, the report finds simple changes to the reporting process and examines whether the existing tools can do the job. It also explains the costs, the assumptions, and the conditions that would justify a larger investment.
If you’re just exploring AI, start with Cisco’s free tool to understand what a paid AI assessment checks.
A paid AI assessment is useful when you have several projects but aren’t sure which one to pursue. For example, you might be considering AI for customer support, invoice processing, and sales reporting. Each process has different implementation costs, risk levels, and ROI. In such a case, an assessment will help you compare them before you decide to invest in development.
You may also need a broader assessment if several departments share data or if some technical limitations could affect multiple projects. On the other hand, if you already know what needs to be built, who owns the process, and where the data comes from, you may be better off requesting a development quote directly.
Be clear on whether they will test real examples, what the report will include, and whether you can use the report and hire another development firm if you decide to go ahead.
Also ask about any additional fees, data handling and development credit terms.
If you want an audit to learn how AI can help grow your company, our AI readiness audit can help. That said, if you’re still unsure whether AI can help your business, or want a second opinion on an audit report from other consultants, you can schedule an AI consulting session with me.
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