A research-driven assessment that reads your business, scores your readiness across five dimensions, and maps the phases you can actually cross. Give it your company name and website. It does the rest, and the diagnosis is free.
This company should start with its context layer. Its workflows are ready for agents, but its knowledge isn't written anywhere an agent could read.
An AI native company is one where people manage agents instead of doing every task themselves, agents can read and write to the company's documented context, and the company gets smarter over time because everything it learns is captured where both humans and AI can use it.
That is a different thing from using ChatGPT. A team with chat subscriptions has faster individuals; the company itself (its workflows, its knowledge, its decision speed) is unchanged. An AI native company has rebuilt the work: repetitive execution runs through agents, the company's knowledge lives in a context layer agents can read, and people spend their time on judgment, relationships, and direction.
The point isn't the agents. It's that the work stops depending on any one person being in the room, so the company moves faster than its headcount should allow.
The distance between those two states is the gap this product measures. read the full definition.
Give us your company name and website. The system reads your site, maps your industry's AI adoption pressure, and identifies your likely high-leverage workflows, all before asking you a single question.
Ten to fourteen questions generated from the research, probing the five readiness dimensions. No generic questionnaire. The questions reference your actual business.
Your readiness score, all five dimension scores, and the phase-level roadmap your company must cross, with honest durations calibrated to your size and capacity to change.
If you want the prescription too: every phase broken into concrete milestones, your workflows mapped to agent implementations, tools with real costs, and a 90-day execution sequence.
AI readiness isn't one number. A company with great tooling and undocumented knowledge fails differently than a company with great docs and a team that's never touched an agent. The assessment scores each dimension separately, because each one changes what your roadmap should look like.
This company should start with its context layer. Its workflows are ready for agents, but its knowledge isn't written anywhere an agent could read.
No "explore AI opportunities." Every milestone in your roadmap is concrete work with an effort estimate and a test for done. These are real examples from the methodology.
Write down, in plain markdown, how your most repeated work actually gets done today: every step, every decision point, every handoff. This is the raw material agents will run on.
You'll know this is done when a new hire could execute each workflow from the document alone, without asking anyone a question.
Create a single shared folder structure for decisions, SOPs, and reference knowledge that both your team and AI tools can read. Start with what you documented, not with a taxonomy debate.
You'll know this is done when anyone on the team answers a process question by linking a doc instead of typing the answer from memory.
Take your most repetitive documented workflow and hand its mechanical steps to an agent, with a human reviewing every output. Measure the time delta from day one.
You'll know this is done when the workflow completes with the agent doing the repeatable steps and a person approving the result, three runs in a row.
This is not a generic AI readiness report with your name pasted on top.
It starts by researching your actual company (your website, your industry's adoption pressure, your likely workflows), and every question in the quiz is generated from that research. The output references your answers and your business by name. If a section could apply to any company, our generation pipeline rejects it and rewrites it until it's about you.
No. The gap between AI-curious and AI-native is large precisely because almost nobody has crossed it yet, and starting now with a plan beats having started earlier without one.
The companies that look ahead of you are mostly experimenting, not operating differently. What separates the few that have genuinely crossed is not a head start. It's that they worked through an ordered sequence: document the work, build the context layer, run agents on real workflows, expand what works. That sequence is available to you today, paced to your company. If you feel behind, read this first.
People arrive at this differently. All four doors lead to the same assessment, because the diagnostic is the answer regardless of which question brought you here.
You've heard the term and suspect it matters. It does, and it's a specific, reachable operating model, not a vibe. The assessment shows you exactly how far you are from it.
What AI native actually meansYou're not as behind as you think. Almost nobody has actually crossed the gap. What you're missing isn't years of work; it's a plan paced to your company.
Why the panic is miscalibratedYou don't care about labels. You want hours back. The roadmap starts from your highest-leverage workflows, because that's where the time actually is.
Where to start, concretelyRaising your team's AI IQ is two skills: delegating to AI well, and writing knowledge down so AI can use it. Both are measured in the assessment.
How teams actually get better at AIThe full diagnosis (research, quiz, scores, and your phase-level roadmap) costs nothing and stands on its own. The Blueprint is the next step for companies ready to execute: the prescription, priced once.
Everything in the assessment, plus:
One-time purchase, generated after your free assessment. Start there, and you'll see exactly what the Blueprint adds before deciding.
An AI native company is one where people manage agents instead of doing every task themselves, agents can read and write to the company's documented knowledge, and the company gets measurably smarter over time because what it learns is captured where both humans and AI can use it. That is different from using ChatGPT, which makes individuals faster but leaves the company itself unchanged.
No. The gap between AI-curious and AI-native is large precisely because almost nobody has crossed it yet. Most companies are experimenting with chat tools; very few have rebuilt how work actually flows. Starting now with a plan beats having started earlier without one.
Start by identifying your three highest-frequency, most repetitive workflows and documenting them in plain language. That documentation becomes the foundation agents work from. The assessment does this identification for you: it researches your business, asks targeted questions, and shows you which workflows offer the most leverage.
Team AI skill is less about prompt tricks and more about two capabilities: knowing how to delegate work to AI with clear context, and writing knowledge down so AI can use it. Train on a real workflow your team runs weekly, not on abstract examples. The readiness assessment scores both capabilities and tells you which to build first.
Typically two to four quarters for the core transition: documenting key workflows, standing up a shared context layer, running pilot agents with one team, then expanding. A 5-person company can move in weeks; a 200-person company needs explicit change management. Your roadmap is paced to your size and your capacity to change, never a generic timeline.
The full diagnosis: AI-driven research on your company and industry, a quiz generated from that research, your overall readiness score, scores across all five dimensions, the phase-level roadmap showing what your company must cross and in what order, and specific insights drawn from your actual answers. It is the complete diagnostic, not a teaser.
The Blueprint is the prescription: every phase broken into concrete milestones with effort estimates and success criteria, your highest-leverage workflows mapped to specific agent implementations, a context-layer specification for your tools, a tool stack recommendation with real costs, a time-savings model in hours and dollars, and a 90-day execution sequence.
It starts by researching your actual company (your website, your industry's adoption pressure, your likely workflows), and every question in the quiz is generated from that research. The output references your answers and your business by name. If a section could apply to any company, our generation pipeline rejects it and rewrites it.
No. The roadmap is written for operators. Early milestones are things like documenting workflows and organizing company knowledge, work your existing team can do. Where a milestone involves tooling, the Blueprint names specific tools with costs at your team size and explains what to set up in plain language.
You are ahead of companies doing nothing, but individual chat use is the first step, not the destination. The compounding gains come when AI is wired into workflows and can read your company's context. The assessment will show you exactly how far chat-level adoption has actually moved each of your five dimensions.
About ten minutes. A short intake form, a minute or two while the research runs, and a quiz of ten to fourteen questions generated for your business. Your readiness report renders immediately after.
No. Your intake details, research findings, and answers are stored in your account and used only to generate your assessment and roadmap. They are not used to train models and are never shared.
Ten minutes. Real research on your business. A roadmap calibrated to your size and capacity to change.