Know Where to Start with AI
Leadership clarity before AI investment.
AI is already entering daily work through productivity platforms, public tools, and employee experimentation. At the same time, leadership is being asked to evaluate new AI investments, data requirements, policies, and use cases.
The NSI AI Readiness Assessment gives leadership a practical view of where AI is being used, where risk or readiness gaps exist, which opportunities deserve attention, and what should happen next.
Turn AI Questions Into Clear Decisions
See the Current State
Understand how AI is being used across departments, tools, workflows, documents, and data.
Identify What Needs Attention
Surface gaps in governance, security, data protection, technology, information readiness, training, and ownership.
Decide Where to Move First
Prioritize practical use cases, identify what each one requires, and determine which opportunities are ready for a pilot versus which need more preparation.
Seven Areas That Shape AI Readiness
The assessment looks beyond technology. We evaluate the leadership, governance, data, security, workflow, and workforce conditions that determine whether AI can create reliable and measurable value.
Strategy & Leadership
Is there clear ownership, direction, and alignment around AI?
Governance & Policy
Are there practical rules for approved tools, acceptable use, and decision-making?
Security & Data Protection
Can AI be used without exposing sensitive or restricted information?
Technology Readiness
Can the current environment securely support the intended AI capabilities?
Document & Data Readiness
Is the information AI needs trusted, accessible, owned, and current?
Use Case Readiness
Are there clearly defined problems with owners, required data, and measurable outcomes?
Training & Adoption
Do employees understand how to use AI safely and effectively?
A Good AI Project Starts Before the Technology
AI should not begin with a product demo or platform decision. During discovery, NSI looks at how work is performed today, what information the workflow depends on, where that information lives, whether it is sensitive, and how the organization would measure success.
Business Problem / Workflow
Owner
Data & Documents Required
Sensitivity & Access
Trusted Sources & Refresh
Success Criteria
Technology / Pilot
This helps leadership avoid investing in technology before the problem, data, ownership, and expected result are clearly understood.
Structured for Results. Simple for Your Team.
Intake Survey
A baseline questionnaire captures current AI usage, workflows, data, policies, technology, and department opportunities.
Stakeholder Discovery
Focused interviews with leadership, IT, and selected departments uncover how work is actually performed and where AI may create value.
Environment & Readiness Review
NSI reviews the information gathered across the seven readiness areas and validates key findings.
Scoring & Prioritization
Readiness categories are scored and risks, data needs, and candidate use cases are prioritized.
Executive AI Readiness Report
Leadership receives a structured report with findings, scores, recommended actions, and a practical roadmap.
Leadership Recommendation Session
NSI walks leadership through the findings and helps determine what should move forward, what needs preparation, and what should be deferred.
From intake to leadership recommendation, the process is designed to create clarity without requiring a major IT project just to participate.
One Executive Report. Clear Decisions.
The final report turns survey responses, stakeholder discovery, and readiness analysis into an actionable leadership plan.
NSI Digital
AI Readiness Report
30 / 60 / 90-Day Roadmap
- Executive SummaryWhere the organization stands and what that means.
- AI Readiness ScorecardRatings across all seven readiness categories.
- Current-State FindingsHow AI is being used today and what leadership should know.
- Risks & Exposure AreasBusiness, security, data, governance, and operational concerns.
- Priority Use CasesOpportunities ranked by value, risk, complexity, ownership, and readiness.
- Document & Data ReadinessWhat information priority use cases depend on and what must be addressed first.
- Recommended Adoption PathWhat should happen first, what can move in parallel, and what should wait.
- 30 / 60 / 90-Day RoadmapSpecific actions leadership can assign and track.
Findings designed to drive action — not sit on a shelf.
Not Every AI Idea Should Move Forward
Candidate use cases are evaluated based on business value, data availability, data sensitivity, ownership, complexity, risk, and the ability to measure success.
Quick Win
Useful, relatively low-risk opportunities that can move forward with limited preparation.
Controlled Pilot
Promising use cases that require defined ownership, approved tools, data review, success measures, and human oversight.
Longer-Term Opportunity
Valuable ideas that first require better data, integration, workflow definition, or organizational preparation.
Defer
Ideas where the risk, data condition, or decision impact makes implementation inappropriate today.
What an Assessment Can Reveal
Strength
Leadership supports a controlled AI pilot and has identified practical areas where AI may create value.
Readiness Gap
AI usage is occurring without consistent approved-tool guidance or a formal review process.
Data Finding
A priority workflow depends on manually combined information and requires clearer trusted-source definitions.
Attendance & Intervention Insights
Controlled PilotEstablish practical AI guardrails while preparing the trusted data foundation for one measurable pilot.
Example output for illustration only — not a specific client engagement.
The Assessment Does Not Force a Technology Decision
The findings determine the next step. Sometimes that means launching a pilot. Sometimes it means fixing a data, workflow, policy, or ownership issue before investing further.
Governance
Approved tools, practical policies, employee guidance, and review processes.
Data Foundation
Data quality, integration, cloud modernization, trusted sources, and ownership.
Analytics
Dashboards, reporting, data models, and conversational analytics.
AI Pilot
A controlled implementation tied to a defined workflow and measurable outcome.
Prepare First
Address the prerequisite before adding technology or expanding AI investment.
Use cases should drive the technology path — not the other way around.
Not Ready for the Full Assessment?
Start with the AI Direction Finder.
Answer a short series of questions about your AI goals, tools, workflows, data, and current operating model. You'll receive an AI Direction Brief with areas to examine and practical questions to answer internally.
Get My AI Direction BriefThe AI Direction Finder provides directional guidance and is not a replacement for the full AI Readiness Assessment.
Start with a Complimentary Evaluation
Schedule a 30-minute leadership conversation to discuss where your organization is today, what you are trying to accomplish with AI, and whether the AI Readiness Assessment is the right next step.