An AI readiness assessment in Milwaukee, ending in a plan you can act on.
A review of how your company works today, where AI fits, and what rules it needs. You get a ranked list of opportunities, a written AI use policy and a plan, and you decide who builds it.
What an AI readiness assessment looks at.
Workflows
The tasks that take the most time, followed from start to finish with the people who do them: quoting, order entry, invoicing, reporting, customer email.
Systems
The ERP, CRM, accounting software, Microsoft 365 or Google Workspace, and how data moves between them today, including by hand.
Data
Where the records each task needs are kept, how clean they are, and which ones are sensitive: customer data, employee records, pricing, anything covered by a contract.
Current AI use
Which AI tools people already use, including personal ChatGPT or Claude accounts, what goes into them and what's working. It's gathered through a survey and conversations, with no blame attached.
Policy and contracts
Any existing IT or data policy, customer contracts with confidentiality terms, and the terms of the AI tools already in use.
What you get at the end.
- A ranked list of opportunities. Each one names the task, the systems it touches, rough effort (small, medium or large), and what has to be in place before it starts.
- A written AI use policy. Which tools are approved, what data can go into which tool, who reviews output before it reaches a customer, and how someone asks for a new tool.
- A plan. The order to do things in, which items your team can handle on its own, and which need outside help.
- A readout with leadership. The findings walked through together, with time for questions and disagreement.
AI governance consulting, in practical terms.
For most companies, AI governance comes down to four questions with written answers. Who approves a new AI tool or project? What data can go into which tool? What do the vendor's terms say about your data? Who checks AI output before it gets used?
Vendor terms get read line by line for the parts that matter: whether the plan trains on your data, how long the vendor keeps it, where it's processed, and what happens to it when you cancel.
Review steps are set by what's at stake. An internal summary needs a quick read. Anything sent to a customer, posted to the books or used in a hiring decision gets a named reviewer.
From assessment to implementation.
An assessment is worth doing when it leads to something getting built. The top items on the list are scoped well enough to start the following week, and Prometheus can build them.
Who builds it is your choice. The plan is written so your own team or another firm can pick it up, and there's no obligation to continue past the assessment. When the first project is connecting AI to your systems, see AI integration in Milwaukee.
How the assessment runs.
- Start with leadership. What the business wants from AI, what concerns people have, and which departments to begin with.
- Sit with the people who do the work. Onsite in Milwaukee, Waukesha, Menomonee Falls and the rest of the metro, or on a screen share.
- Survey current AI use. Anonymous where that gets more honest answers.
- Review the systems and data. Read-only access, limited to what the review needs.
- Walk through the results. The ranked list, the policy draft and the plan, together with leadership.
How pricing works.
The pricing page explains the usual range and what moves a project up or down it.
The assessment is quoted after a first conversation about the size of the company and the systems it runs. Building any item from the list is quoted separately, and there is no obligation to continue. A company that wants help putting the policy into practice over time can keep working together after the assessment.
Tell me what you want the assessment to answer.
Questions people ask.
- What is an AI readiness assessment?
- A review of a company's workflows, systems, data and current AI use, to find where AI will help most and what rules it needs. It ends with a ranked list of opportunities, a written AI use policy and a plan.
- What do we get at the end of an AI readiness assessment?
- A ranked list of opportunities with rough effort for each, a written AI use policy, a plan for what to do first, and a readout meeting with leadership to go through it all.
- Do we have to hire Prometheus to build what the assessment recommends?
- No. The plan is written so your own team or another firm can carry it out. If you want Prometheus to build the first item, it's scoped and priced as its own project.
- What does AI governance consulting cover?
- Who approves new AI tools and projects, what data can go into which tool, what each vendor's terms say about your data, and which outputs need a person's review before they're used. All of it written down in a policy people will read.
- What if employees already use ChatGPT on personal accounts?
- That's common and worth knowing about. The assessment finds out what's being used and for what, then recommends moving that work to business accounts the company owns, with a policy on what can go in. What is safe to put into ChatGPT covers the basics.
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Build with us in Milwaukee.
Thirty minutes, one real constraint, and a written description of what could be built. No pitch decks, no small talk.