Step 1

Measure Your AI Automation Readiness

See how ready your current systems, knowledge, and workflows are for useful AI automation. Answer a few questions and get a practical readiness score with next-step guidance.

Agentic Readiness Efficient Automation Agent Harness Multi-Agent Orchestration Data Security Workflow Automation

Name

Please enter your name.

Email

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Company / Business / Project Name

Please enter a company, business, or project name.

Team / Business Size

Please select your team or business size.

Step 2

Which of these best describes your core responsibility?

Pick the closest match. The questions that follow will adapt to your choice.

Step 3

Question title

Question copy

Question 1 of 6

Route Company size

Ava, your AI readiness is early but actionable.

Ava · Basemotion Building AI tools or agents 1-10

Readiness score 35/100

Early readiness

What the score means

Your score reflects how ready your current context, systems, and workflows are for reliable AI automation. The next step is to identify where important business context becomes outdated, fragmented, or difficult for AI tools to access.

Workflow clarityStrong

System connectivityModerate

Context freshnessNeeds work

Example: if a refund policy changes in a document but the agent still retrieves an older version, the workflow can answer confidently with the wrong rule.

Recommended next step

Connect one live source before expanding automation.

Build a live context layer that connects your business logic, data, and knowledge to the AI workflows that need it. The target state is current context, fewer manual updates, and automation that can be trusted for higher-value work.

Book your free context audit

Why it matters

Manual context updates create hidden review work after every policy, tool, or customer-state change.

Strongest signal

You already know the priority workflow. That makes the first integration target easier to define.

Main risk

The agent may appear production-ready before its source context is current enough to trust.