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10-Minute Assessment • Practical Roadmaps • Vendor-Agnostic

Most AI efforts fail for the same reason. It’s not the model — it’s readiness.

AI amplifies whatever already exists: unclear outcomes, messy data, broken workflows, platform fragility, or uneven adoption. This quick assessment gives you a clear, objective view of where to focus first so AI becomes a repeatable capability—not a pile of experiments.

Strategy Data People Process Tech
Built for leaders who need to pick the right AI bets, reduce risk, and turn pilots into production—without getting stuck in tool hype.
Start My 10-Minute AI Readiness Assessment Why readiness matters
What we commonly find
Teams often think they need “a better AI tool.” The real unlock is usually clear outcomes + trusted data + standard workflows + safe platforms + adoption playbooks— which improves speed and reduces risk at the same time.
Assess where you are, create a plan, then execute.
Readiness → Adoption → Outcomes

AI succeeds when it becomes a capability—not a collection of pilots.

Most organizations don’t fail because they “picked the wrong model.” They stall because the basics aren’t aligned: unclear outcomes, fragmented data, inconsistent workflows, and no safe operating pattern for how AI is used. This assessment gives you an objective baseline and a practical plan to help your team embrace AI with confidence.

What you get in 10 minutes
✓ Primary focus (where to start)
✓ A–F grades (what’s strong vs risky)
✓ Top next steps (smallest moves, biggest lift)
✓ Risk flags (what to fix before scaling)
Why the assessment works
It turns “AI excitement” into an execution plan your team can follow.

You’ll see what to stabilize, what to standardize, and what to scale next—so you can adopt AI without creating shadow workflows, inconsistent answers, or compliance surprises.

Faster Adoption
Clarifies where AI belongs in daily work so people actually use it—consistently.
Lower Risk
Flags governance gaps before drift, leakage, or “prompt chaos” spreads.
Better Quality
Improves inputs, review loops, and guardrails so outputs stay reliable.
Clear ROI
Connects AI work to outcomes, KPIs, and decision cadence—not tool hype.
!
What usually goes wrong without readiness

Pilots multiply. Different teams get different answers. Data access gets messy. Leaders lose confidence—and adoption slows. The assessment identifies the few constraints causing the most friction so you can fix them first.

Direction
Strategy

Define outcomes, prioritize use cases, and set decision cadence so AI stays aligned and fundable.

strategy alignment
Trust
Data

Establish source-of-truth, quality rules, and access governance so outputs are reliable and auditable.

data and cloud
Execution
Process + Tech

Standardize workflows and platform patterns so AI scales safely (monitoring, controls, and runbooks).

delivery pipeline
How to use the results
A scorecard that translates to action
1) Stabilize
Close the highest-risk gaps first (governance, data access, fragile workflows).
2) Standardize
Create repeatable patterns (templates, review loops, runbooks, operating rules).
3) Scale
Expand to more workflows with confidence—because adoption and controls are in place.
The goal isn’t more AI activity. It’s repeatable, measurable outcomes—with fewer surprises.
Simple Process

How It Works

Four steps. Clear diagnosis. Practical roadmaps.

1

Register

Give us the basics so we can tailor your scorecard and roadmaps to your context.

2

Answer

10 minutes of high-signal questions across Strategy, Data, People, Process, and Tech.

3

Get Results

See your primary AI readiness focus plus letter grades (A–F) and next steps you can execute immediately.

4

Take Action

Download a roadmap and run it with your team—or bring us in to pressure-test and sequence the work.

Grade Key

A: Ready to scale
B: Solid—optimize
C: Inconsistent—standardize
D: Gaps—reinforce first
F: High risk—stabilize now
The reframe
If you can’t explain the AI plan in one page, you don’t have one.
Most organizations aren’t short on ideas. They’re short on sequencing. This assessment helps you decide what to do now, what to do next, and what to stop—so AI execution gets easier instead of harder.

What you’ll see at the end

Not a generic checklist. A targeted AI readiness scorecard you can act on immediately.

  • ✔Your Primary Focus: Strategy • Data • People • Process • Tech.
  • ✔Letter grades (A–F) across all five categories.
  • ✔Prioritized recommendations (what to do first, and why) with effort & impact.
  • ✔Quick wins to reduce risk or speed up time-to-value.
  • ✔Downloadable roadmap workbook aligned to your result category.
Start Now Questions?
A quick reality check
If you’re planning to deploy AI to customers or across teams in the next 6–12 months, do this first. Otherwise you risk scaling AI on top of unclear direction, untrusted data, or fragile workflows.
One Page Results
Results that are easy to act on

You’ll get a clear primary focus, summary notes, and next steps that help you run the right conversation with your team: what to stabilize, what to standardize, and what to scale next.

Results Page screen shot.
What this prevents
The expensive cycle of “pilot forever”
  • • Tool-hopping without governance or standards
  • • Scaling AI on weak data and getting inconsistent outputs
  • • Automating broken processes (and amplifying the chaos)
  • • Rolling out AI without adoption patterns or guardrails
Who This Is For

Designed for Leaders Scaling AI Safely

If you’re accountable for outcomes—revenue, margins, customer experience, delivery speed—this helps you lead AI adoption with clarity.

🏢

SMB & Mid-Market

Teams of 10–200 with in-house + vendors. You need a plan that cuts through opinions and focuses effort.

🚀

Scale-ups

AI momentum is real—and so are the cracks. Get ahead of governance, drift, and delivery risk.

👩‍💼

Non-technical Leaders

You don’t need to be technical to lead AI adoption. You need a scorecard and a sequence your team can execute.

Register to begin

No spam. No pressure. Your results appear instantly—and you’ll know what to do first.

Pro tip: If you’re planning a major AI rollout, pick your “first win” after this. It helps you avoid investing in the wrong foundation.

By starting, you agree to our Terms and Privacy Policy. We’ll never sell your data.

Frequently asked questions

Is this really only 10 minutes? ⌄

Yes—just what’s needed for a high-signal read. The goal is direction and next steps, not documentation.

Do you sell software or a specific AI platform? ⌄

No. The guidance is vendor-agnostic. Execute with your team; we can help only if you want support.

Is my data secure? ⌄

Encrypted transport, least-privilege access, and minimal retention. See Privacy Policy.

Who should complete this? ⌄

Typically a COO, CTO/CIO, Head of Ops, or the leader responsible for AI adoption. Non-technical leaders are welcome.

What if we already have AI pilots? ⌄

Great—this helps you decide what to scale, what to fix first, and what to stop. Many pilots fail at scale due to readiness gaps.

Will this tell me which AI tools to buy? ⌄

Only when tooling is the constraint. Most of the time the best move is improving readiness (strategy, data, process, tech, people), then tool selection becomes easy and safer.

Ready to see your AI readiness focus?

It’s free—and you’ll walk away with a sharper sequence for what to do next.

Start My 10-Minute AI Readiness Assessment