AI Readiness & Opportunity Diagnostic
Select a credible first department and workflow portfolio by examining value, information, controls, platforms, people, and evidence together.
AI Readiness & Opportunity Diagnostic
Before expanding AI investment, understand the workflows, information, controls, tools, people, and evidence required for a credible first department. Scope and investment follow the company environment and decision.
Scope
Focused
Method
Evidence-led
Decision
Prioritized First Wave
What's Included
Five assessment areas that give you a complete picture of your AI readiness.
01
Current State Analysis
Review of existing AI tool usage (if any), current productivity workflows, and pain points across departments. We interview key stakeholders to understand where AI can deliver the most value.
02
Platform & Information Review
Assess approved AI platforms, identity, administration, source systems, permissions, connectors, data handling, and what can be activated versus what requires foundation work.
03
Team Readiness Evaluation
Gauge your team's AI literacy, appetite for adoption, and identify potential champions and resistors. Map departments by readiness level to prioritize training rollout.
04
Opportunity Mapping
Identify a focused set of candidate workflows and prioritize them by value, repetition, information readiness, risk, review, sponsor commitment, feasibility, and measurability.
05
Customized Roadmap
A staged program recommendation covering the first department, workflow portfolio, information and governance foundations, implementation, role-based adoption, measurement, and scale decision.
Who This Is For
Early-Stage AI Adoption
Your team is curious about AI but nobody has formal training. Some employees are using ChatGPT on personal accounts. You need a structured approach before tools proliferate without governance.
Post-License Purchase
You have purchased ChatGPT Enterprise or Microsoft Copilot licenses but adoption is low. Teams do not know how to use the tools effectively and ROI is not materializing.
Leadership Mandate
Executive leadership wants an AI strategy but the team lacks the expertise to create one. You need an outside perspective to assess opportunities and build a credible plan.
Compliance-First Companies
You want to adopt AI but need to ensure data classification, usage policies, and regulatory compliance are addressed before rolling out tools to the broader organization.
What Happens After the Assessment
The diagnostic leads to the smallest credible next step for your current decision:
AI Acceleration Program
Implement a first department portfolio with governed information, configured workflows, role-based capability, support, and measured outcomes.
Role-Based AI Academy
Hands-on learning customized to approved tools, data boundaries, roles, and configured workflows identified during discovery.
AI Policy & Governance
Develop the policies, data classification framework, and employee guidelines your team needs before rolling out AI tools at scale.
Governed Information Layer
Establish authoritative source access, identity, permissions, retrieval, citations, evaluation, and operational ownership.
Managed Acceleration
Ongoing office hours, workflow optimization, governance support, onboarding, evaluation, and program improvement.
Choose a Credible First AI Wave
Tell us which department, operating constraint, and platform environment you are considering. We will help define the right diagnostic scope and decision.
Discuss Your Readiness Diagnostic