AI Readiness Assessment

Understand where AI can create practical business value.

Use this frontend-only assessment to evaluate AI readiness, security maturity, automation potential, and recommended next steps without uploading files, sharing repositories, or sending data to an external service.

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Assessment Focus

A practical readiness snapshot for business leaders.

The assessment helps organizations understand whether they are ready to move from AI interest to a practical plan. It is designed for executives, technology leaders, and teams evaluating responsible AI adoption.

AI readiness

Clarify current AI usage, adoption maturity, and next-step readiness.

Security maturity

Understand how data sensitivity, scanning, cloud practices, and governance affect AI adoption.

Automation potential

Identify whether manual workflows, documentation gaps, or delivery processes are strong automation candidates.

Safe by design

No uploads. No backend storage. No external analysis.

This assessment runs in your browser and does not ask for files, ZIP archives, source code, repository links, credentials, or sensitive business records.

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Interactive Assessment

Answer a short set of business-friendly questions.

Select the option that best reflects your current operating reality. The result is directional and intended to support a strategy conversation, not replace a full consulting engagement.

01How is your organization currently using AI?

AI adoption

Not yet using AIAI is being discussed but is not part of daily workflows.Experimenting with public toolsIndividuals use AI tools, but standards are still informal.Using AI in defined workflowsAI supports repeatable business or technical processes.Managed AI programAI use is governed, measured, and tied to business outcomes.

02How does your team manage code or technical project repositories?

Project visibility

Limited repository usageWork is scattered across files, folders, or individual machines.Basic GitHub or Git usageRepositories exist, but standards and review practices vary.Consistent repository practicesTeams use repositories, branches, and reviews consistently.Repository intelligence neededLeadership wants more visibility into project health and risk.

03How mature are your build, test, and deployment workflows?

Delivery maturity

Mostly manualBuilds and releases depend on manual coordination.Some automationSelected checks or deployment steps are automated.Defined CI/CD processCommon workflows are automated and repeatable.Measured delivery systemAutomation is monitored, improved, and tied to release confidence.

04Which best describes your cloud or hosting environment?

Infrastructure readiness

Mostly local or unmanagedHosting and infrastructure are handled case by case.Single cloud or managed hostApplications run on a cloud provider or managed platform.Cloud standards in placeTeams follow basic environment, access, and deployment patterns.Cloud governance is activeCloud usage is monitored, documented, and governed.

05How do you currently handle security scanning?

Security maturity

Ad hoc reviewSecurity checks are mostly manual or happen only after issues arise.Basic dependency checksSome tools flag vulnerabilities or outdated packages.Integrated scanningSecurity checks run as part of normal delivery workflows.Security signals are governedFindings are reviewed, prioritized, and reported consistently.

06What level of sensitive data does your organization handle?

Data sensitivity

Minimal sensitive dataMost work involves public or low-risk business information.Internal business dataTeams handle operational data that should remain internal.Customer or regulated dataWorkflows include customer, financial, legal, or regulated data.Highly sensitive dataAI adoption requires careful privacy, access, and governance planning.

07How much manual, repetitive work exists across your team?

Automation potential

Low manual burdenMost critical workflows are already streamlined.Some repetitive workTeams repeat common tasks, but the burden is manageable.Significant manual workRepetitive tasks slow delivery or customer response.Manual work blocks growthOperational scale is limited by repeatable human effort.

08How would you describe your documentation quality?

Knowledge readiness

Sparse or outdatedImportant knowledge often lives with specific people.Useful but inconsistentSome documentation exists, but coverage varies by team or project.Generally reliableDocumentation supports onboarding and common operations.Actively maintainedDocumentation is treated as part of delivery quality.

09What is the approximate size of the team that would use AI or automation?

Team context

1-5 peopleA small team needs focused, practical starting points.6-20 peopleA growing team can benefit from shared standards and automation.21-50 peopleCoordination, governance, and knowledge continuity become more important.50+ peopleAI adoption likely requires governance, enablement, and executive visibility.

10How interested are you in private AI systems or controlled AI workflows?

Private AI interest

Not a current priorityPublic tools or non-AI improvements are enough for now.Curious but earlyLeadership wants to understand options and tradeoffs.Active evaluationThe organization is comparing safer ways to use AI with sensitive information.High priorityPrivate AI capability is important for adoption, privacy, or competitive advantage.

11How much visibility do leaders have into project health and delivery risk?

Leadership visibility

Limited visibilityLeadership depends on status updates and informal escalation.Basic reportingSome metrics exist, but context is limited.Regular operating reviewsLeaders review delivery, risk, and priorities consistently.Evidence-backed decision supportLeadership can connect project signals to risk and recommended action.

12How soon do you want to identify practical AI or automation next steps?

Next-step urgency

Exploring this yearYou want education and a high-level direction.Planning this quarterYou want a clear roadmap before committing resources.Need near-term recommendationsYou want prioritized opportunities and implementation guidance.Ready for focused engagementYou want a structured assessment and decision-ready next steps.

Next step

Turn your readiness snapshot into an action plan.

Nguyen AI can help translate your assessment results into a focused roadmap for AI adoption, private AI planning, automation, or repository intelligence.

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