ThinkLa | AI Readiness Test

1. How clearly are your recurring workflows defined?

Most work is ad hoc and depends on specific people. Some repeatable steps exist, but they are not consistently documented. Key workflows are documented and followed by most of the team. Workflows are clear, measurable, and regularly improved.

2. How accessible is the information your team needs to do its work?

Knowledge is scattered across chats, folders, and individual memory. Some resources exist, but they are incomplete or hard to find. Important knowledge is organized well enough for team use. Knowledge is structured, current, and easy to reuse in workflows.

3. How reliable is the data behind your operational decisions?

Data is inconsistent, incomplete, or difficult to trust. Some data is usable, but quality issues often slow us down. Most critical data is good enough to support AI-assisted work. Data is reliable, governed, and already used in structured reporting.

4. How connected are the tools your team already uses?

Tools are mostly disconnected and require manual handoffs. There are a few integrations, but many gaps remain. Several important systems are connected or can be connected quickly. Our stack is integration-friendly and supports automation well.

5. How comfortable is your team with using AI tools at work?

Most people have little experience or avoid using AI tools. Some people experiment, but usage is inconsistent. Many team members use AI for everyday tasks with moderate confidence. AI use is active, intentional, and supported across the team.

6. How clear are your guidelines for safe AI use and a first pilot?

There are no clear rules, owner, or first use case. Some ideas exist, but ownership and guardrails are still unclear. We have a likely first pilot and basic review expectations. We have clear rules, ownership, and a realistic first pilot in mind.

See how ready your business is for practical AI adoption.

AI Readiness Assessment

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