For each category, select the statement that best describes your organization's current state.

Score each area:

1 — Early
The process is primarily manual, fragmented, or inconsistent.

2 — Developing
Some digital tools, standards, or processes are in place, but significant gaps remain.

3 — Ready
The process is structured, connected, repeatable, and positioned to take advantage of AI-assisted capabilities.

Add your five scores together to calculate your Practical AI Readiness Score out of 15.

□ 1 — EARLY

Facility information is spread across spreadsheets, PDFs, reports, emails, or other disconnected sources. Data may be incomplete, inconsistent, or difficult to validate.

□ 2 — DEVELOPING

We have established data standards and centralized information in some areas, but gaps, inconsistencies, or outdated information remain.

□ 3 — READY

Our facility and asset data is structured, accessible, consistently maintained, and trusted by the people who use it for planning.

Ask your team:

Can we confidently answer questions about the condition, needs, and lifecycle of our facilities without manually reconciling information from multiple sources?

Score: _____ / 3

□ 1 — EARLY

Assessments rely heavily on manual documentation, spreadsheets, paper, or disconnected tools. Field teams spend significant time entering, organizing, and cleaning information.

□ 2 — DEVELOPING

We use digital tools for some assessment activities, but data collection, documentation, and reporting still involve significant manual work.

□ 3 — READY

Our assessment workflows are digital, standardized, repeatable, and structured to produce usable data quickly.

Ask your team:

How much of our assessment process is spent documenting information versus actually evaluating facility conditions and making professional judgments?

Score: _____ / 3

□ 1 — EARLY

Facility information lives in separate systems or files. Teams frequently export, copy, re-enter, or reconcile information manually.

□ 2 — DEVELOPING

Some systems are integrated, or information can be shared, but important data still exists in silos.

□ 3 — READY

Facility, asset, assessment, project, cost, and planning information can be connected and accessed across the workflows that depend on it.

Ask your team:

If an asset's condition changes today, how easily can that information influence our priorities and capital plan?

Score: _____ / 3

□ 1 — EARLY

Priorities are largely based on individual judgment, urgency, politics, or whichever need is most visible at the moment.

□ 2 — DEVELOPING

We use some objective criteria—such as condition, risk, cost, or FCI—but the process isn't consistently applied across the portfolio.

□ 3 — READY

We use consistent, transparent, data-driven criteria to evaluate needs and establish priorities across facilities and projects.

Ask your team:

If leadership asks, “Why should we fund this project before that one?” can we answer with objective data?

Score: _____ / 3

□ 1 — EARLY

Capital planning relies primarily on static lists, spreadsheets, or annual exercises. It is difficult to understand the long-term consequences of changing priorities or funding levels.

□ 2 — DEVELOPING

We can evaluate some funding scenarios, but the process is time-consuming or requires significant manual work.

□ 3 — READY

We can quickly model funding scenarios, evaluate tradeoffs, understand deferred needs, and see how different strategies affect long-term facility conditions.

Ask your team:

If your available capital budget changed tomorrow, how quickly could you show leadership what should change in the plan—and why?

Score: _____ / 3

If your score revealed opportunities around data quality, facility assessment, prioritization, or capital planning, the next step is to look at how those processes can work together.

Intellis Foundation connects facility condition data with prioritization, scenario planning, and long-range capital strategy—helping organizations move from assessment data to actionable capital decisions.

With Foundation, facility teams can bring together:

FACILITY CONDITION DATA

Create a structured, centralized view of facility needs and conditions.

AI-ASSISTED WORKFLOWS

Reduce manual effort and help teams work more efficiently with facility information.

FCI-BASED PRIORITIZATION

Use condition and other objective factors to create transparent, defensible priorities.

FUNDING SCENARIOS

Evaluate different investment strategies and understand the impact of changing funding levels.

LONG-RANGE CAPITAL PLANNING

Turn individual facility needs into a strategic, data-backed capital plan.