AI Readiness Assessment | FutureInSites

Data Maturity

How your organization stores, manages, and accesses data.

Where is your organization's operational data primarily stored?

Hybrid (mix of cloud and on-prem) Multi-cloud Single cloud (AWS / Azure / GCP) On-premises only I don't know

What types of data does your organization work with? (select all that apply)

Choose all that apply

Structured / tabular data Unstructured documents / PDFs Images / video Audio / speech Time-series / IoT sensor data Text / natural language Geospatial I don't know

How is your data currently managed?

Data lake / lakehouse Data warehouse Combination of databases, warehouses, and tools Operational databases Shared drives (SharePoint / Google Drive) Spreadsheets / manual files

Do you have documented data quality processes?

Yes, formal processes in place Informal / ad hoc No, but we know we need them No, and not a priority right now

Can your teams access the data they need without IT intervention?

Yes, self-service BI / data tools Somewhat, with manual requests No, everything goes through IT I don't know

AI Governance & Risk

Your AI policy framework, oversight, and risk management practices.

Does your organization have an AI governance policy or framework?

Fully adopted and enforced Drafted but not yet adopted In development No, but planned within 12 months No, and not planned

Who is responsible for AI oversight at your organization?

Board-level committee Dedicated AI / Data officer IT department Individual team leads Nobody specifically

Do you have formal processes for any of the following? (select all that apply)

Choose all that apply

AI ethics review before deployment Bias / fairness testing of models Model monitoring in production Explainability / transparency documentation Third-party AI vendor risk assessment None of the above

What are your primary concerns about adopting AI? (select up to 3)

Choose up to 3

Data security / privacy Regulatory compliance Accuracy / reliability Cost / ROI uncertainty Lack of internal expertise Employee resistance Ethical concerns Integration with existing systems None of the above

Does your organization have an Acceptable Use Policy for employee use of AI tools (ChatGPT, Copilot, etc.)?

Yes, enforced Yes, but not enforced In development No

What regulatory frameworks apply to your organization? (select all that apply)

Choose all that apply

Technical Readiness

Your infrastructure, talent, and integration capabilities.

What is your organization's current relationship with AI / ML?

AI is core to our business Some production use cases Experimenting / proof of concept Not yet started

Do you have dedicated data / AI talent in-house?

Yes, a full team (engineers + scientists) Yes, a few individuals We use contractors / consultants No

What is your cloud infrastructure maturity?

Fully cloud-native Mostly cloud with some on-prem Mostly on-prem with some cloud All on-premises Not applicable

Do you have APIs or integration platforms connecting your business systems?

Yes, robust API architecture Some integrations Minimal No, everything is siloed

What enterprise systems are in place? (select all that apply)

Choose all that apply

CRM (Salesforce / HubSpot / etc.) ERP (SAP / NetSuite / etc.) HRIS (Workday / BambooHR / etc.) Marketing automation (Marketo / HubSpot) Data warehouse / BI (Snowflake / Looker / etc.) Custom internal tools None of the above

Business Readiness

Your organization's alignment, sponsorship, and commitment to AI.

What business problems are you hoping AI can solve? (select top 3)

Choose up to 3

Automate repetitive manual work Improve customer experience Generate insights from data Reduce costs Create new products / services Improve decision-making speed Competitive pressure

Do you have executive sponsorship for AI initiatives?

Yes, C-suite champion actively driving Yes, verbal support but no active sponsorship No executive buy-in Too early to tell

What is your expected timeline for AI adoption?

Immediately (0-3 months) Short-term (3-6 months) Medium-term (6-12 months) Long-term (12+ months) Just exploring, no timeline

Do you have a budget allocated for AI initiatives?

Yes, dedicated AI budget Yes, but part of general IT budget Not yet, but planned No budget

Has your organization attempted AI projects before?

Yes, with successful deployments Yes, but projects stalled or failed We've evaluated but not started No

Security & Compliance

Data protection, classification, and vendor vetting practices.

Where is your organization's data physically stored?

Do you have data classification standards?

Yes, fully implemented Partially implemented In development No

Do you have a process for vetting third-party vendors' AI / security practices?

Yes, formal vendor risk assessment Informal review No process I don't know

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Data Maturity

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