AI Adoption Readiness Tool

The problem

Most AI adoption fails because teams start with tools instead of workflows.

Organizations often ask, “Which AI tool should we use?” before identifying the repetitive tasks, document bottlenecks, knowledge gaps, and risk areas that actually determine value. This prototype turns AI adoption into a practical readiness review: what to automate, what to train, what to avoid, and what to pilot first.

What I built

A single-page AI readiness prototype that scores a team across workflow fit, training readiness, data caution, documentation quality, and leadership support.

Why it matters

AI is most useful when it reduces friction in real work: summarizing, drafting, comparing, organizing, explaining, and turning messy information into next actions.

What this demonstrates

AI enablement, training needs analysis, change readiness, business process improvement, and practical adoption planning.

Design approach

Built for managers, instructors, and teams that need a clear starting point.

1. Start with work

The tool asks about repeated tasks, documents, decisions, meetings, and information bottlenecks before recommending any AI use case.

2. Separate opportunity from risk

Not every task should use AI. The workflow flags areas involving confidential data, high-stakes decisions, or weak documentation.

3. Create a pilot plan

The output identifies the best first AI pilot, required training, and practical next steps for adoption.

Prototype preview

AI readiness assessment interface

This portfolio version runs in the browser only. It does not connect to AI services, store responses, or send team information anywhere. It demonstrates the workflow, scoring logic, and reporting pattern.

AI Adoption Readiness Tool Workflow-first assessment

Team or department

Primary work type

Workflow notes

Repeated writing tasks The team regularly drafts emails, summaries, reports, or templates that follow predictable patterns. Information search bottlenecks Staff spend time finding answers across policies, notes, folders, websites, or previous documents. Clear workflow owner Someone can approve the pilot, define success, and help staff adopt the process. Basic AI comfort Staff understand prompting basics, review outputs carefully, and know AI is a draft/support tool. Documented process The current workflow is written down well enough to train people and compare before/after results. Confidential data involved The workflow includes personal, student, client, HR, financial, or sensitive business information. High-stakes decisions The workflow affects grades, eligibility, employment, finances, legal issues, or safety decisions.

Example readiness output

Select readiness factors and generate a report to show adoption score, risk level, recommended pilot, and training priorities.

Role:
Concept, workflow, copy, prototype design

Audience:
Managers, trainers, instructors, small teams

Status:
Working portfolio prototype

Use case map

How the tool separates good AI pilots from bad ones

Workflow area	AI opportunity	Training required	Fit level
Meeting follow-up	Summarize notes, identify decisions, draft action lists, prepare follow-up emails	Prompting, verification, confidentiality rules	Strong
Routine communications	Draft first versions of emails, announcements, FAQs, and plain-language explanations	Tone control, editing, human review	Strong
Policy lookup	Convert long documents into searchable guidance and decision support	Source checking, citation discipline, escalation rules	Medium
Performance decisions	Organize evidence and draft neutral summaries only	Bias awareness, policy limits, manager review	Caution
Confidential case work	Use templates, anonymized examples, and process guides rather than live private data	Privacy, data handling, approved tools	Caution

Next version

Where this could go next

Exportable AI adoption report

Generate a one-page summary of priority workflows, readiness score, risks, and first pilot recommendation.

Training plan builder

Convert readiness gaps into a short learning path: prompting basics, verification, privacy, templates, and workflow practice.

Department playbooks

Adapt the same assessment for education, nonprofit, small business, administration, client service, and internal operations teams.