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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

AI agent workspace connecting training data, an AI model, agent tools and evaluations
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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
AI readiness assessment at a glance

A ranked AI plan. Fixed price.

  1. 01Fixed price$2,500
  2. 02Length2 weeks
  3. 03You getRanked AI projects with costs, and a readout for your leaders
  4. 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.

AI readiness quiz

Roughly where you stand on data, systems, people and risk. Fits when you want a quick score first.

AI readiness assessment

Which AI projects to build first, with costs, owners and risks. Fits when you need a ranked, costed plan.

Data readiness review

Whether your data can feed AI, and what to fix first. Fits when data is scattered across systems.

AI risk assessment

Which rules apply to one AI system and which controls it needs. Fits when AI touches regulated data or decisions about people.

AI code assessment

A code map, the risks and a priced plan to modernize old code. Fits when legacy code slows every change.

Production review of an AI-built app

Whether a Lovable, Bolt or Replit app is ready for real users. Fits when a prototype works but has not launched.

AI agent evaluation

How an agent performs on real tasks, before and after launch. Fits when an agent is built or about to ship.

Systems and data we review

SalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooks
SharePointGoogle DriveZendeskServiceNowSharePointGoogle DriveZendeskServiceNowSharePointGoogle DriveZendeskServiceNowSharePointGoogle DriveZendeskServiceNow
ChatGPTClaudeMicrosoft CopilotGeminiChatGPTClaudeMicrosoft CopilotGeminiChatGPTClaudeMicrosoft CopilotGeminiChatGPTClaudeMicrosoft CopilotGemini
SalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooksSalesforceHubSpotNetSuiteQuickBooks

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.

Ranked AI projectsA ranked list of AI projects, each with a cost from our price list and expected hours saved.
A data map and a risk viewWhere each workflow’s data lives, who owns it and the gaps to close. The privacy, HIPAA and state AI rules that apply, and where a person must approve.
Policy and maturity stagesThe AI policy and approvals you need before the first build. A maturity stage for each team and the one step that moves it forward.
A first build, ready to startA first build, scoped well enough to start a pilot. The plan is yours to use with us, another vendor or your own team. If you build with us, the full $2,500 is credited to your first build.

Assessments that lead to AI in production

AI builds from our case studies, and the record behind them.

  • Startup
  • Real Estate
2026

Our Haus AI

A finance professional turned founder built Our Haus AI, an AI-powered collaborative workspace where homeowners and contractors scope, bid, contract, and document renovation projects together. SoftDoes took her prototype and made it production-ready.
Outcome
SoftDoes hardened and secured a far-more-than-MVP platform for launch, delivering on a fast, defined timeline so a solo non-technical founder could move to production and start onboarding founding users.
  • 10XMVP scope delivered
  • 2+years Ongoing partnership
  • 1Fully owned Platform
View Full Case Study
Our Haus AI case study screenshot
  • Finance
  • Energy
2026

Deepwater Insights

Deepwater Insights delivers proprietary alternative data and niche research on the offshore drilling and energy sector to institutional investors, family offices, and high-net-worth individuals who require coverage that larger firms don't provide.
Outcome
A brand-aligned editorial platform with premium content architecture gave Deepwater Insights a professional home for its research and a direct channel to investors beyond social media.
  • 100%Brand Continuity
  • 2Platform Distribution
  • 100%Paywall-Ready Content
View Full Case Study
Deepwater Insights case study screenshot
  • Real Estate
2026

The building buyer

The Building Buyer is a Florida-based real estate investment firm co-founded by Dylan Troiano and Charles Hanlin. They acquire single-family, multifamily, and commercial properties across South Florida and beyond, with a focus on motivated seller opportunities.
Outcome
SoftDoes built a proprietary lead generation and data extraction system that replaced hours of manual research each day, freeing the team to focus on deals instead of data.
  • 18Weekly hours saved
  • 2+Years Ongoing partnership
  • 1Fully owned Platform
View Full Case Study
The building buyer case study screenshot
  • Education
  • Non-Profit
2026

WOVEN & NICE

Woven is a Spring Valley, NY nonprofit running the NICE program (New Training Inclusive Community Environment) in four Rockland County schools. Their team supports students through restorative practices, mediation, and professional development for teachers and administrators.
Outcome
A full website rebuild gave Woven a cleaner, more navigable donation experience and a stronger digital presence to support their push into new school districts.
  • 4Schools Served
  • 4Weeks to Launch
  • 1STTime on Upwork
View Full Case Study
WOVEN & NICE case study screenshot
  • Healthcare
2026

CareInTouch

CareInTouch is a Bay Area home health agency providing skilled nursing and therapy services to patients referred from hospitals and clinics. With over 100 staff, they operate in one of the most complex and compliance-driven healthcare markets in the country.
Outcome
SoftDoes built a custom compliance and billing monitoring app that eliminated missed deadlines, reduced revenue loss, and gave ownership real-time oversight of the entire care workflow.
  • 40% Reduction In Billing Errors
  • 100+Staff Operations Managed
  • 0Missed Compliance Deadlines
View Full Case Study
CareInTouch case study screenshot
  • Startup
2026

Sparkle The Cleaning Service

Sparkle The Cleaning Service is a Detroit-area residential cleaning company with 10 years in business, connecting homeowners with vetted, insured independent cleaners through a subscription-based marketplace platform.
Outcome
Launched a two-sided marketplace that removes the middleman from cleaning transactions, letting cleaners earn more while giving customers a transparent, trust-first booking experience.
  • 75% Platform Transparency
  • 2XPlatform Growth
  • 40%Higher User Retention
View Full Case Study
Sparkle The Cleaning Service case study screenshot
  • Startup
2026

DineMate

DineMate is a Maryland-based dating and connecting platform built around verified profiles, restaurant reservations, and prepaid dining experiences. Founded to bring back authenticity to how people meet and connect.
Outcome
A fully custom web app, live on AWS, replaced a stalled mobile build and gave a first-time founder a scalable foundation to pursue users, partnerships, and investor capital.
  • 60% Time Saved
  • 99%System Reliability
  • 40%Higher User Retention
View Full Case Study
DineMate case study screenshot
  • Healthcare
2026

Prior Authorization AI

Prior Authorization AI is a healthcare automation startup building AI-powered tools to streamline prior authorization for Medicare and Medicaid medical transportation providers in New Jersey.
Outcome
Replaced a 16-hour manual document collection process with an automated intake and submission pipeline, freeing the founder to focus on clinical oversight instead of clerical work.
  • 16Weekly hours saved
  • 63%Admin time reduced
  • 43%Fewer submission errors
View Full Case Study
Prior Authorization AI case study screenshot
  • Education
2026

Grand Central Language Services

Grand Central Language Services provides translation and interpretation for organizations operating in complex, multilingual environments. As demand grew, internal workflows became harder to manage. SoftDoes built a custom platform to streamline coordination, improve visibility, and support scalable operations.
Outcome
The new platform brought structure to daily operations, improving project organization, reducing manual coordination, and increasing visibility across workflows. The system now supports more reliable delivery and gives the team a foundation for growth.
  • 72%Workflow Reduction
  • 48%Coordination Reduction
  • 83%Visibility Increase
View Full Case Study
Grand Central Language Services case study screenshot
  • Healthcare
2026

FMY Orthodontics

FMY Orthodontics, a multi-location practice in West Tennessee, partnered with SoftDoes to replace a spreadsheet-based financial workflow with a custom web platform. The goal was to simplify how staff present treatment financing while allowing patients and families to review and complete decisions remotely.
Outcome
The new platform streamlined internal workflows and removed manual spreadsheet work while giving patients a more flexible, modern experience. Staff spend less time coordinating financing, and families can review and finalize plans from home with ease.
  • 60%Workflow Reduction
  • 75%Remote Adoption
  • 5Locations Aligned
View Full Case Study
FMY Orthodontics case study screenshot
2025

Forbidden Alchemy

Forbidden Alchemy is an alternative fashion brand creating dark, provocative clothing for the metalhead community, with 10% of profits donated to mental health awareness. Its mostly mobile audience struggled with a store that was hard to navigate and weak on functionality.
Outcome
SoftDoes delivered a new UX/UI, quick access to size charts, a simple checkout, and a gothic brand identity across web and merch, turning the Shopify store into a leading destination for alternative fashion and growing revenue month over month.
  • +44%Revenue Month Over Month
  • 86%Design Satisfaction
  • 2.8XUser Retention Growth
View Full Case Study
Forbidden Alchemy case study screenshot
2025

Altera

Altera builds on decades of computational neuroscience research to create digital human beings for gaming. Backed by a $2M pre-seed round led by Andreessen Horowitz, the team needed a landing page that could explain complex agent technology to players, partners, and investors.
Outcome
SoftDoes designed a polished landing page and brand with real-time character personalization, a simplified product story, and a mobile-first layout, giving Altera a trustworthy presence and a private beta sign-up flow for investors and partners.
  • 98%Dynamic Customization
  • 100%Streamlined Navigation
  • $2MPre-Seed Round
View Full Case Study
Altera case study screenshot
  • Real Estate
2025

Brizacorp

Brizacorp manages residential properties and coordinates the staff who handle painting, cleaning, and repair requests. Its team tracked work across messengers, phone calls, e-mail, and paper planners, with no single place to manage requests or measure performance.
Outcome
SoftDoes built a web and mobile CRM with role-based panels for admins, managers, and employees, bringing requests, staff, and statistics into one system and making daily tasks faster to complete and easier to track.
  • 98%Application Stability
  • 95%Utilization Rate
  • 30%Faster Task Completion
View Full Case Study
Brizacorp case study screenshot
2025

Color & Harmony

Color & Harmony is a Kentucky-based color consulting studio led by certified color strategist Diana Cartaya. The studio needed a website that reflects its refined aesthetic, showcases its portfolio, and explains a science-based color process in simple language.
Outcome
In just 2 months, SoftDoes designed and developed a responsive website with a clear journey from first visit to booking, lifting conversions and engagement and helping the studio grow revenue from $7,500 to $25,500+.
  • 45%Conversion Rate Increase
  • 50%Higher User Engagement
  • 2Months to Launch
View Full Case Study
Color & Harmony case study screenshot
2025

The Modern Gentlemen

The Modern Gentlemen sells premium men's skincare featured in Men's Health, GQ, and Men's Journal. Its customers wanted an efficient routine, but generic product suggestions and limited skincare knowledge made choosing the right products hard.
Outcome
SoftDoes redesigned the store around personalization, with a skin quiz, AI-powered product recommendations, and a tiered Prestige Points rewards system, creating a mobile-first experience that lifted conversions and repeat business.
  • 30%Increase in Conversions
  • 25%Higher Customer Retention
  • 92%Mobile Purchases
View Full Case Study
The Modern Gentlemen case study screenshot
2025

OQ Technology

OQ Technology connects IoT devices, machines, and people anywhere on the planet through its satellite network, serving energy, maritime, logistics, agriculture, and mobile operators. Its website made it hard to explore products and reach pricing plans.
Outcome
SoftDoes redesigned the platform with clearer navigation, focused Lite to Enterprise plans, an ROI calculator, and dedicated flows for businesses, individuals, and operators, making the choice easier for users and boosting sales.
  • 4Pricing Plans Clarified
  • 3Dedicated User Flows
  • 1Unified Platform
View Full Case Study
OQ Technology case study screenshot
  • Real Estate
  • Finance
2025

Stay Vest

Stay Vest is a private real estate investment firm that acquires, renovates, and operates boutique hotels for cash flow, tax benefits, and equity gain. It needed a platform that explains its strategy and earns the trust of passive investors.
Outcome
SoftDoes designed a premium, responsive web platform presenting the investment strategy, property portfolio, team, and key operating metrics, with an "Invest with us" form that turns interested visitors into qualified investor leads.
  • 1,500+Guest Stays
  • 200+Rooms Managed
  • 5States Covered
View Full Case Study
Stay Vest case study screenshot
2024

Bokeyno Motorsports

Bokeyno Motorsports is the leading mobile installer of vertical doors for high-performance cars. This Shopify website isn’t just about services—it’s a bold statement of power, style, and expertise. With a sharp layout, strong visuals, and real-world case studies, the site delivers all the information car enthusiasts need to book confidently and instantly.
Outcome
With a mix of dynamic layouts, curated gallery sections, and fast-loading interactions, we kept the user journey focused on action—whether it’s learning about supported models or requesting a quote.
  • 54%Booking Requests
  • 43%Lead Conversion
  • 32%Qualified Inquiries
Bokeyno Motorsports case study screenshot
2025

ai document processing platform

A comprehensive talent solution designed to help companies attract, hire, and retain top talent more effectively. The platform combines AI-powered recruitment technology with employee financial wellbeing programs, enabling smarter hiring decisions while supporting employees’ financial stability and long-term engagement.
Outcome
The new software significantly reduced staff steps for presenting and managing patient financing, replacing a manual workflow with a single streamlined system and improving clarity for both staff and patients.
  • 62%Faster Processing Time
  • 78%Less Manual Work
  • 35%Improved Accuracy
ai document processing platform case study screenshot

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.

Hours saved a month
Invoice entry
100
Support replies
50
Sales quotes across 2 systems
40
Value at $40 an hour
Invoice entry
$4,000
Support replies
$2,000
Sales quotes across 2 systems
$1,600
Build price
Invoice entry
From $5,000
Support replies
From $4,000
Sales quotes across 2 systems
From $7,000
Payback
Invoice entry
About 1.3 months
Support replies
About 2 months
Sales quotes across 2 systems
About 4.4 months

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.

  1. Read-only access

    Read-only access or sample exports, so nothing in your systems changes during the assessment.

  2. NDA before the first call

    Our NDA is executed before the first call, and procurement gets a certificate of insurance on request.

  3. Only the samples you choose

    Sample tests use only the documents and tickets you choose to share.

  4. Masked fields

    You can mask sensitive fields in samples before you share them.

  5. 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

  • production-ready-data-solutions
  • 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.

What can go wrong
Wrong first project
Budget goes to a workflow with a slow payback or messy data
Data surprises
Gaps appear halfway through a build
Compliance gaps
A build touches health data or state AI rules no one checked
Shadow AI
Staff paste company data into tools with no policy
Run costs missed
Model usage surprises finance after launch
No owner
The plan sits in a drawer
How the assessment handles it
Wrong first project
Every candidate is scored on value, data, risk and effort before ranking
Data surprises
A data map per workflow: where data lives, who owns it and what to fix
Compliance gaps
Privacy, HIPAA and state AI rules reviewed per workflow, with approval points marked
Shadow AI
A review of the tools in use and the AI policy rules you need
Run costs missed
Build prices from our price list, plus model usage and hosting estimated at cost
No owner
A named owner for every ranked project, agreed at the readout

How the AI maturity assessment runs

01
KickoffWeek 1

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.

02
ReviewWeek 1

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.

03
ScoreWeek 2

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.

04
ReadoutEnd of week 2

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

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.

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U.S.-Based

This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

Vendor documentation

Ready for procurement and legal review

Sample certificates of insurance for professional liability (E&O), cyber liability and general liability

Certificate of insurance

  • Professional liability (E&O)
  • Cyber liability
  • General liability
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