AI-Native Readiness Assessment

How ready is your business to become AI native?

Answer 15 practical questions across five dimensions. You will get a maturity level, your strongest foundation, your biggest blocker, three next actions, and a recommended first workflow.

Start the assessment Learn what AI native means

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15 questions

Assess the foundations behind one useful workflow

Answer for how the business works today, not what is planned. Choose the option closest to your normal practice.

Dimension 1

Business context and data

Whether the workflow can use current, trusted records, documents, and instructions.

01 The information needed for important work has a clear source of truth.

02 Process documents, examples, and instructions are current and owned by someone.

03 The team can control which people and AI tools access sensitive information.

Dimension 2

Repeatable workflow clarity

Whether the work has a clear trigger, steps, rules, owners, exceptions, and outcome.

04 We can describe how one frequent process starts, moves, and finishes.

05 The process has clear owners, handoffs, decision rules, and exception paths.

06 People generally follow the same process rather than rebuilding it each time.

Dimension 3

Tool and integration access

Whether the workflow can read and update the systems required to complete the job.

07 We know which systems the process needs to read from and write to.

08 Those systems provide suitable APIs, webhooks, exports, or other connections.

09 We can limit each workflow to the minimum actions and data it needs.

Dimension 4

Human control and governance

Whether review, permissions, accountability, and safe failure paths are designed in.

10 We know which decisions AI may support and which decisions a person must make.

11 Sensitive, uncertain, unusual, or high-value cases have a named reviewer.

12 We can keep a useful record of inputs, outputs, actions, approvals, and exceptions.

Dimension 5

Measurement and ownership

Whether someone owns the workflow and can judge quality, use, and business value.

13 One person owns the process and can approve changes to it.

14 We can measure quality, cycle time, exceptions, and adoption.

15 We have a clear business outcome for the workflow, not only an AI usage target.

Your result

Your AI-native readiness

Use this result to choose a safe first workflow and the foundation to improve before you scale.

Overall score

0/100

Experimenting

Dimension scores

Business context and data 0%

Repeatable workflow clarity 0%

Tool and integration access 0%

Human control and governance 0%

Measurement and ownership 0%

Strongest foundation

Biggest blocker

Your next three actions

Recommended first Appaca workflow

View the workflow

Scoring method

What each maturity level means

Each answer is scored from 0 to 4. Every dimension contributes equally to a final score from 0 to 100.

0 to 20

Experimenting

AI use is mostly personal and separate from shared business processes.

21 to 40

Assisted

AI helps with useful tasks, but context, handoffs, and checks still rely on people.

41 to 60

Connected

Shared data and selected tools are available, but workflows and controls are uneven.

61 to 80

Operational

Defined workflows combine AI, rules, actions, review, and recorded outcomes.

81 to 100

AI native

The team designs work for people and AI together and improves it with evidence.

This is a practical planning tool, not a certification or security audit. A high score does not remove the need to test each workflow with real cases and clear owners.

Common blockers

Fix the smallest blocker that limits a first workflow

Readiness improves through real work. Prepare enough structure for one useful process, then learn from how it performs.

Scattered or weak source data

Start by choosing the records and documents a single workflow can trust. Do not connect every source at once.

An unclear process

Observe how the work happens today, then agree on the trigger, owner, normal path, exceptions, and final outcome.

Too much tool access

List the exact read and write actions required. Remove broad permissions that the workflow does not need.

No designed review step

Name the reviewer and define which cases they see, what evidence they receive, and what actions they can take.

No useful measure

Record the current quality, time, exceptions, and business result before changing the workflow.

FAQs

What is an AI-native readiness assessment?

An AI-native readiness assessment checks whether your business has the context, process clarity, tool access, human controls, and measurement needed to run useful AI workflows. It is not a test of how many AI products your team uses.

Do we need a high score before starting?

No. You need enough clarity for one controlled workflow. The assessment helps you find the smallest blocker to fix before building that workflow.

What score means a business is AI ready?

A score above 60 suggests the foundations for an operational workflow are mostly in place. A lower score does not prevent a pilot, but the first workflow should be narrow and should address the weakest dimension.

Does Appaca store my assessment answers?

This assessment runs in your browser. It does not ask for an email before showing the result. A share link contains only the five dimension scores, not each answer.

What should we do after the assessment?

Use the recommended actions to prepare one frequent and measurable workflow. Then build a small first version with clear context, limited tool access, human review, and a named owner.

Turn your result into a working process

Start with the recommended workflow, keep the first version narrow, and improve it with real results from your team.

Build my recommended workflow

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