Convene · AI Readiness

Is your organization actually AI-ready?

Most AI projects stall for reasons that have nothing to do with the model — unclear ownership, messy data, no measurable use case. This quick self-assessment scores you across the five things that really decide whether AI pays off.

Answer honestly. You’ll get a score, your weakest area, and a clear next step.

5 minutes20 questionsNo email required
01 Strategy & Ownership

Whether AI is tied to real outcomes and someone owns it.

We can name the specific business outcomes we want AI to improve — not just “adopt AI.”
A named person or team owns our AI efforts and is accountable for results.
We have a way to decide which AI ideas to pursue and which to pass on.
Leadership agrees on what success looks like before we start.
02 Data Readiness

Whether your data is clean, connected, and governed enough to trust.

Our core business data (customers, records, cases) is reasonably clean and de-duplicated.
Key data is connected across systems, not trapped in silos.
We know where our sensitive data lives and who can access it.
Our knowledge content (docs, FAQs, policies) is current enough for AI to rely on.
03 Process & Use Cases

Whether you’ve picked a real, measurable place to start.

We have identified a specific, repeatable task to improve first — not an org-wide overhaul.
That first use case has a clear scope and a human escalation path.
We know today’s baseline (time, cost, or quality) for the process we want to improve.
The process is understood well enough that we could document it on one page.
04 Governance & Risk

Whether you know what AI is running and can control it.

We know what AI tools are already in use across the business.
We have set rules for what AI may access and do.
Someone reviews AI outputs for quality, bias, or error.
We have a plan for when an AI system behaves unexpectedly.
05 People & Skills

Whether your team can actually adopt and sustain it.

Our team is prepared — and willing — to change how they work.
We have, or can access, the skills to implement and maintain AI.
Staff know when to trust AI and when to involve a human.
We can measure adoption, not just deployment.
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Go deeper at our AI Readiness webinar

We’ll walk through how to turn a score like yours into one measurable pilot — with ownership, data, and guardrails in place.

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Indicative self-assessment, not a formal audit. For a tailored review, talk to our team.