U.S.-Based
AI readiness assessment: a ranked AI plan in 2 weeks
We review your workflows, data, systems and risks, then rank the AI projects worth building. The $2,500 fee is credited to your first build.
$2,500
Fixed price
2 weeks
From kickoff to a ranked AI plan
5.0
Clutch rating from 40 reviews

How the assessment runs
From the workflows your leaders list to a ranked AI plan: we score each one, and your leaders adjust the order.
Leaders list workflows
The tasks that take the most hours.
We score each one
Value, data, risk, tested on samples.
You review the ranking
Your leaders adjust the order.
A ranked AI plan
Costs, owners and a first build.
AI assessment for business, in short
- Kansas City metro software and AI company
- AI readiness assessments for mid-market companies
- In 2 weeks: your workflows, data, systems and risks reviewed, and the AI projects worth building ranked
- $2,500 fixed, credited to your first build
A ranked AI plan. Fixed price.
- 01Fixed price$2,500
- 02Length2 weeks
- 03You getRanked AI projects with costs, and a readout for your leaders
- 04Free first stepAI readiness quiz, 12 questions
What is an AI readiness assessment?
An AI readiness assessment is a structured review of whether your company can put AI to work, and where it should start. It ends with a ranked, costed list of AI projects. AI often arrives in pieces. Staff try chat tools, vendors add AI features and leaders hear new pitches every month. An assessment sorts those pieces into a short list of projects with costs, owners and risks.
Documents come into scope
With generative AI, documents, emails and call notes come into scope, not only tidy database fields.
Contracts and permissions
Data may leave your systems for a model vendor, so contracts and permissions matter.
A review step and a test set
Answers can be wrong, so each workflow needs a review step and a test set.
Run costs from day one
Cost grows with usage, so run costs belong in the plan from day one.
Readiness vs maturity
A maturity assessment asks how far along each team is with AI and gives each team a stage. A readiness assessment asks what to build first and what to fix. Ours includes both.
Assessment vs quiz
The free quiz gives an instant score from 12 questions you answer yourself. The assessment adds interviews, real samples and a systems review, and ends with ranked projects, costs and owners.
Types of AI assessment, and which one fits
Assessments differ by the question they answer and how deep they go. Each price comes from our price list. The readiness assessment fee is credited to your first build. Model usage and hosting for any later build are billed at cost.
Systems and data we review
When an AI readiness assessment pays off
An assessment pays off when you have more AI ideas than budget, or when nobody can say which workflow should go first. It costs less than one wrong pilot.
Signs that an assessment will help:
- Leaders ask for an AI plan, and teams send back a long list of unranked ideas.
- Staff use chat tools with company data, and there is no AI policy yet.
- A vendor pitched an AI product, and you cannot tell whether it fits your data.
- Your data sits in several systems, and nobody knows what AI may use.
- A past AI pilot stalled, and you want to know why before you try again.
When to skip it
If you already know the workflow and its owner, go straight to a pilot on one workflow, from $7,000. If you only want everyday AI tools for staff, a workspace rollout from $5,000 may be the better first step. Before the kickoff, prepare a list of the workflows your leaders want reviewed, a process owner for each workflow who can join an interview, read-only access or sample exports from the systems involved, and your current AI policy, if you have one, with the AI tools teams use today.
The AI readiness checklist we work through
Workflows and hours
Our AI readiness assessment framework scores six areas for every workflow, starting here. We interview process owners and time the tasks that repeat most, such as intake, invoices or support replies. For example: which tasks repeat every day, and how many minutes does each one take?
Data readiness
Where the data lives, who owns it, how clean it is and whether AI may use it. For example: where do last year’s invoices live, and may an AI model read them under your contracts?
Systems and access
Which systems the AI must read and write, and whether they offer APIs or connectors. For example: does the help desk offer an API that lets AI save a draft reply?
Risk and compliance
Privacy, HIPAA and state AI rules that apply, and where a person must approve. For example: does this workflow touch patient records, or decisions about people under state AI rules?
People and policy
Which AI tools teams use today, what your AI policy allows and who will own each build. For example: which AI tools do teams use today, and does your policy allow them?
Ranked AI projects
Each project gets a cost, expected hours saved, risks and an owner, in build order. For example: invoice entry ranks first, with many hours saved, clean data and a simple review step.
How to choose an AI readiness assessment provider
Ask these questions before you book any assessment. Good answers come in writing, with a fixed price and a fixed scope.
Questions to ask, and what a good answer includes
- Do you build AI, or only advise? A team that ships AI, so the costs in the plan come from real builds.
- What does the final plan contain? Ranked projects with costs, hours saved, risks and named owners.
- Will you test AI on our real samples? Yes, on documents and tickets you choose, not on generic demos.
- Is the price fixed? A fixed fee and a fixed length, agreed before the kickoff.
- Can we use the plan with another vendor? Yes, the plan belongs to you.
- Is the fee credited if we build with you? A clear credit rule in writing.
- How much access do you need? Read-only access or sample exports, under an NDA.
What you get: a ranked AI plan
You get a written plan your leaders can fund: the AI projects worth building, in order, each with a cost, expected hours saved, risks and a named owner.
Assessments that lead to AI in production
AI builds from our case studies, and the record behind them.
AI readiness assessment ROI: a worked example
The assessment pays off when it points your first build at the workflow with the fastest payback. Here invoice entry ranks first: the fastest payback, clean data and a simple review step.
Example math with assumed numbers, not a client result. Payback is before model usage and maintenance.
How we keep your data safe during the assessment
The assessment needs little access
We work from read-only access or sample exports, and we sign an NDA before you share anything. If a workflow touches health data, the plan covers HIPAA from the start, and our HIPAA-compliant AI guide explains what changes. For a deeper review of one AI system, see AI governance and compliance.
Read-only access
Read-only access or sample exports, so nothing in your systems changes during the assessment.
NDA before the first call
Our NDA is executed before the first call, and procurement gets a certificate of insurance on request.
Only the samples you choose
Sample tests use only the documents and tickets you choose to share.
Masked fields
You can mask sensitive fields in samples before you share them.
Regulated data on the map
The data map records which systems hold personal or regulated data, for later builds.
AI maturity assessment: the five stages

1. Awareness
Leaders discuss AI, and a few people try chat tools on their own. Next step: an AI policy and a list of candidate workflows.
2. Experiments
Teams test AI tools on real tasks, with no shared rules or measures. Next step: a workspace rollout with single sign-on and data rules.
3. Pilots
One or two workflows run AI on live cases in a test lane. Next step: targets for accuracy, time and cost, and a named owner.
4. Production
AI runs in daily work, with permissions, logs and monitoring. Next step: training by role, and the next workflow from the ranked plan.
5. Across the business
Several teams use AI under one set of rules and shared controls. Next step: monitoring, cost control and evaluation as new systems launch. Teams in one company often sit at different stages, so we place each team on its own.
Risks in AI readiness, and how the assessment handles them
AI risks cost less to find in a 2-week review than halfway through a build.
How the AI maturity assessment runs
We agree goals with your leaders and collect the workflow list. We also confirm read-only access, the interview plan and the NDA. You get an interview plan.
In week 1 we interview owners and sample real documents and tickets. We test AI on a few of those samples to see what works on your data. You get a map of data and risks.
We score each idea on value, data, risk and effort. Effort uses build prices from our price list, so every cost is grounded. You get a scored long list.
At the end of week 2 we present the ranked projects and costs. Your leaders adjust the order, and the plan names a first build. You get a ranked AI plan.
What the assessment costs
One fixed price, agreed before the kickoff. The full $2,500 is credited to your first build with us, and the plan is yours to use with any team.
AI readiness assessment
2 weeks, ranked AI projects with costs
$2,500 fixed
Pilot on the top-ranked workflow
One workflow, real users
From $7,000
Production rollout
From pilot to daily use
From $13,000
Why companies choose our AI readiness assessment services

- 01
Ranked by people who build
- 02
Claude and OpenAI partner
- 03
Vendor documents first
- 04
Rated 5.0 on Clutch
- 05
Frontier AI lab experience
- 06
Kansas City headquarters
AI readiness by industry
Each industry adds its own systems and rules to the assessment. The industry pages show common use cases and the rules that apply.
Healthcare
Intake, prior authorization and billing workflows, reviewed against HIPAA.
Financial services
Loan files, account opening and fraud alerts, with audit trails examiners can follow.
Insurance
Claims intake and document review, with adjusters reviewing every AI summary.
Government
Permits, records requests and resident service, with staff sign-off on every decision.
Accounting
Client documents, workpapers and client requests inside your firm's tools.
Construction
RFIs, daily reports and submittals, inside your project systems.
Questions about the AI readiness assessment
Pillars, stages, price and what you get. Can't find your answer?
What is an AI readiness assessment?
An AI readiness assessment checks whether a company’s workflows, data, systems, people and risk controls can support AI, then names the projects worth building first. Ours takes 2 weeks and costs $2,500 fixed. You get a ranked list of AI projects, each with a cost, expected hours saved, risks and an owner.
What are the pillars of AI readiness?
Frameworks differ, but most score five pillars: strategy and use cases, data, technology and systems, people and skills, and governance and risk. Some group them into three: data, technology and people. Our assessment scores all five for each workflow, so the plan shows what to fix before a build and what can start now.
What are the stages of AI readiness?
Maturity models usually run from awareness, through experiments and pilots, to AI in production and then AI across the business. Teams in one company often sit at different stages. Our AI maturity assessment places each team on that scale and names the one step that moves it forward, with a cost.
How much does an AI readiness assessment cost?
Ours costs $2,500 fixed and takes 2 weeks. The full fee is credited to your first build with us, so the assessment is free if you go ahead. Pilots on the top-ranked workflow start at $7,000, and production rollouts start at $13,000. Our AI implementation cost guide shows typical ranges.
What do we get at the end?
You get a readout with your leaders and a written plan. It ranks the AI projects worth building, each with a cost, expected hours saved, data gaps, risks and a named owner. It also covers the AI policy and approvals you need. The plan is yours to use with us, another vendor or your own team.
Is this the same as the free AI readiness quiz?
No. The AI readiness quiz gives an instant score from 12 questions you answer yourself. The assessment is 2 weeks of work with your team: interviews, real document samples, a review of your systems and a ranked plan with costs. Many companies take the quiz first, then book the assessment.
Do you run enterprise AI readiness assessments?
Yes. For larger companies we assess one business unit or a set of workflows at a time, so each plan stays specific. We work from read-only access or sample exports and sign an NDA before you share anything. Our largest reviewing client is a government agency with more than 10,000 employees.
What is an AI maturity assessment?
An AI maturity assessment measures how far each team has come with AI, from first experiments to AI across the business. A readiness assessment asks what you need for the next build. Ours covers both in the same 2 weeks. Each team gets a maturity stage, and the company gets a ranked list of AI projects with costs.
How long does an AI readiness assessment take?
Two weeks. In week 1 we interview process owners and sample real documents and tickets. In week 2 we score each idea, and at the end of week 2 we present the ranked projects and costs. Your leaders join the kickoff and the readout, and each process owner joins an interview.
Who should take part in an AI readiness assessment?
You need a sponsor who sets the goals and joins the readout, and a process owner for each workflow. Add someone from IT who can grant read-only access or exports. Security or compliance should review the risk findings. On our side, people who build AI run the interviews and the scoring, so every cost comes from real builds.
What happens after the assessment?
You choose the first project from the ranked plan. The next step we recommend is a pilot on the top-ranked workflow, from $7,000, then a production rollout from $13,000. The $2,500 fee is credited to that first build. You can also take the plan to another vendor or your own team, because it belongs to you.
Do we need clean data before an assessment?
No. Finding data gaps is part of the job. We map where each workflow’s data lives, who owns it and how usable it is. Then we mark what to fix before a build and what can start now. If a gap is large, the plan may include a data readiness review, priced at $3,500.
Can we run an AI readiness assessment ourselves?
Yes, as a first pass. The AI readiness quiz and the checklist on this page help you score data, systems, people and risk. An outside assessment adds tests on your real samples, costs from real builds and a ranked plan your leaders can fund. Use the quiz to decide whether the full assessment is worth it.
Does the assessment cover AI compliance and security?
Yes. For each workflow we check the privacy, HIPAA and state AI rules that apply, and we mark where a person must approve AI output. The plan lists the AI policy and approvals you need before the first build. For a full review of one AI system, our AI risk assessment costs $6,000 fixed.


























































