AI Readiness Self-Assessment

Section 1: Delegation & Task Proficiency

"Can I Hand This Off?"

This section measures whether you can effectively delegate work to AI — scoping tasks, providing context, and evaluating output like a good manager would.

I use AI to extract structured information from funding announcements (deadlines, eligibility, budget caps, review criteria) rather than reading them manually cover to cover.

I use AI to draft or refine professional communications (emails to faculty, opportunity summaries, policy explanations) and then edit the output with my own judgment before sending.

When I ask AI to do work, I provide it with clear context — the task, the audience, the constraints, and what 'done well' looks like — rather than just asking a question.

I can look at AI-generated output and quickly identify what's right, what's wrong, and what's missing — the same way I'd review work from a new hire.

I use AI for more than one type of task in my regular work (e.g., summarization AND analysis AND drafting AND data formatting — not just one thing).

Section 2: Workflow Thinking

"Am I Rebuilding or Just Bolting On?"

This section measures whether you're moving beyond 'paste and pray' — using AI to rethink how work gets done, not just speed up existing processes.

I have at least one recurring workflow where AI is a built-in step (not an occasional experiment — a regular part of how I do the work).

I've taken a task or workflow and redesigned it from scratch with AI as a partner — rather than just using AI to speed up the old process.

I can look at a problem and roughly identify what kind of AI solution it needs: a quick chat interaction, a reusable prompt/tool, a structured data approach, or something custom-built.

I use AI to do things I couldn't do at all before (not just things I could do but slower) — like analyzing data in new ways, building tools, or exploring questions I never had time for.

I save or document effective approaches (prompts, workflows, templates) so I can reuse and improve them rather than starting from scratch each time.

Section 3: Adaptation & Mindset

"Am I Building the Muscle?"

This section measures the traits and habits that determine whether you'll keep up as the tools keep changing — because they will.

If an AI tool gives me a bad answer, I adjust my approach (rephrasing, providing more context, trying a different tool) rather than giving up or concluding 'AI doesn't work.'

I can clearly identify where AI is safe to use in my work and where it isn't — and I can explain why to a colleague.

I have updated my understanding of what AI can do at least once in the last 3 months — by trying new tools, reading about new capabilities, or experimenting with new approaches.

I can honestly assess which parts of my work require my judgment and which parts an AI could handle as well or better — without feeling threatened by the answer.

I feel motivated to meaningfully deepen my AI practice in the next 90 days — not just try it once, but build it into how I work on an ongoing basis.