AI-Native Check

Is AI already part of the work?

Seven questions show whether AI only helps in chat or is already connected to tasks, knowledge, workflows and approvals.

7 questions · about 2 minutesAssessment immediately afterwards

AI-Native Check

Your assessment
The check assesses whether AI can work reliably inside your actual operations.
01A score and one of three AI-native levels
02Strongest foundation and most important operating gap
03Three prioritised steps for a reliable pilot

A result your team can work with.

Your assessment

The check assesses whether AI can work reliably inside your actual operations.

Who the check is for

For teams turning isolated AI tests into reliable operations.

It is particularly useful when several tools, manual handoffs or unclear ownership slow down the next step.

Seven checkpoints

What AI-native work looks like in practice.

The check assesses context, operations and control together. In the assessment, your team rates every area with one clear answer.

Two members of the Pharen team discussing an operating workflow

The thinking behind the check

Pharen does not put AI beside the work.

Pharen Hub brings tasks, knowledge, data, communication, workflows and AI agents into one shared context. That operating model shaped these seven questions.

01

The real work item comes before the tool.

02

Agents receive goals, sources and explicit boundaries.

03

People decide at visible approval points.

FAQ

What to know before you start