Voyant AI Readiness Assessment
Please answer this short set of questions to determine your AI Readiness score. This score will help you determine how prepared your organization is to plan, build, and launch AI projects with Voyant AI.
Scoring
Please provide an answer on a scale of 0 to 4 for each item:
- 0 means not in place/non-existent
- 2 means partially or somewhat available
- 4 means fully realized and in place
Your AI Readiness score is assessed from the average of your answers from each section and overall.
Strategy and business value
We have a clear AI goal tied to revenue, cost, or customer outcomes.
We have 2 to 5 specific use cases prioritized by expected impact and effort.
We know how we will measure success for each use case.
We have a 12 to 24 month budget for AI pilots and follow on work.
An executive sponsor is accountable for AI results.
Data foundation
The data for our top use cases is easy to find and access.
The data is clean, complete, and labeled where needed.
We have a catalog or documented schema for key data sources.
We have permission and policies to use this data for AI.
We can join data across systems without manual work.
Technology and integration
We have reliable environments for development, testing, and production.
We have a way to deploy models or LLM prompts and monitor them.
We can scale compute when demand spikes.
We can integrate AI outputs into apps or workflows users already use.
We can log, observe, and roll back AI changes safely.
Security, privacy, and governance
We have policies for data privacy, security, and model access.
We review vendors and third party models for compliance risks.
We track where sensitive data is stored and who can see it.
We have a process to review AI for bias and harmful outputs.
We have documented escalation paths for AI incidents.
People and skills
We have named product, data, and engineering owners for AI work.
Teams understand prompt design, evaluation, and versioning.
Non technical staff know how to use AI tools safely and effectively.
We have a plan to train or hire for the gaps we have.
We can support change management and communication for AI rollouts.
Process and operating model
We run small experiments with clear stop or scale decisions.
We track benefits such as time saved, quality, or revenue lift.
We have a lightweight review for legal, privacy, and security before launch.
We revisit models, prompts, and guardrails on a set schedule.
We have a backlog and roadmap for the next 3 months of AI work.
Customer and ethical use
We tell users when AI is involved and how to get help.
We allow users to give feedback or opt out where appropriate.
We log decisions made with AI for audit when needed.