AI Impact Index Assessment

Take this 5 minute survey to discover your organizational readiness for AI transformation.

Background Information

What's your work email?

What industry do you currently work in?

A

Multifamily / Single Family Rentals

B

Hospitality

C

Commercial Real Estate

D

Residential Brokerage

E

Sports / Venue Operations

F

Custom Home Building

G

Other

1. AI Philosophy and Leadership Vision

How does your leadership team view AI's role in your organization's future?

A

AI is not a strategic priority - we're focused on traditional methods

B

AI is interesting but we're taking a wait-and-see approach

C

AI is part of our strategic plan with allocated budget and timeline

D

AI transformation is a top strategic priority driving all major decisions

What level of organizational support exists for AI initiatives?

A

No executive involvement or awareness

B

Executive-driven support for AI with little middle management support or buy-in

C

Active support from middle management but disconnected from executive vision

D

Full organizational alignment, from C-suite to frontline employees

How does your organization view the competitive necessity of AI?

A

We don't see AI as necessary to our business model

B

AI might be useful someday but isn't urgent

C

AI adoption is important to stay competitive in our industry

D

AI is critical for survival - we must lead or risk being left behind

2. Technology Support and Infrastructure

How would you describe your current technology infrastructure?

A

Legacy systems with limited integration capabilities

B

Mix of old and new systems with some connectivity issues

C

Modern systems with good integration and cloud capabilities

D

Cutting-edge, AI-ready infrastructure with seamless integration

What is your organization's approach to technology investments?

A

Minimal IT budget focused on maintaining existing systems

B

Cautious investments in proven technologies only

C

Regular technology upgrades with some budget for innovation

D

Aggressive investment in emerging technologies and innovation

To what extent are SOPs, training materials, and user data siloed across your organization?

A

Each team stores and manages their own documents and data separately, with little visibility across departments.

B

Some document repositories exist (such as Sharepoint or other intranet), but these are separated from other employee or user data.

C

Most materials are accessible in a single place, with some inconsistencies or duplication.

D

There is a single source of truth across the organization with combined structured and unstructured data.

3. Knowledgeable Resources and AI Literacy

What level of AI expertise exists within your organization?

A

No one has significant AI knowledge of experience

B

A few people have a basic understanding of AI concepts (such as using ChatGPT or other AI tools)

C

Several team members have practical AI experience and training (such as building custom AI models for your organization)

D

We have dedicated AI experts and widespread AI literacy throughout the organization

How comfortable is your team with learning and adopting new technologies?

A

Most staff resist new technology and prefer traditional methods

B

Some openness to new tech but significant training required

C

Generally adaptable with proper training and support

D

Highly tech-savvy team and change management strategies that embraces innovation quickly

What resources do you have for AI training and development?

A

No formal training programs or external AI resources

B

Limited training budget and occasional external workshops

C

Regular training programs and partnerships with AI vendors

D

Comprehensive AI education program with internal and external experts

4. Use Case Identification & Strategy

How well has your organization identified specific AI opportunities?

A

We haven't identified specific areas where AI could help

B

We have some general ideas for AI improvements but nothing concrete

C

We've identified several specific use cases with clear benefits

D

We have a comprehensive AI roadmap with prioritized use cases

What is your approach to measuring AI success?

A

We don't have metrics or success criteria defined

B

We have some general goals but no specific measurements

C

We have clear ROI targets and success metrics for each AI initiative

D

We have a comprehensive measurement framework with leading and lagging indicators

How do you prioritize AI initiatives?

A

No formal prioritization process

B

Ad-hoc decisions based on immediate needs

C

Structured evaluation based on impact and feasibility

D

Strategic prioritization aligned with business objectives and AI maturity

5. Organizational Adoption and Change Management

How ready is your organization for AI-driven change?

A

Strong resistance to change - prefer current processes

B

Some resistance but willing to consider changes with clear benefits

C

Generally open to change with proper communication and training

D

Change-ready culture that embraces innovation and continuous improvement

What is your approach to implementing new technologies?

A

Avoid new technology unless absolutely necessary

B

Conservative approach - wait for others to prove success first

C

Measured implementation with pilot programs and gradual rollout

D

Early adopter approach with rapid implementation and iteration

How do you handle staff concerns about AI and automation?

A

Haven't addressed staff concerns about AI impact on jobs

B

Acknowledge concerns but haven't developed clear communication

C

Proactive communication about AI augmenting rather than replacing staff

D

Comprehensive change management with reskilling and career development

6. Platform Integration & Architecture

How well do your operational systems work together?

A

Each system operates independently - lots of manual data entry and switching

B

Some systems are connected but we still have information silos

C

Most systems share data effectively with minimal manual intervention

D

Unified system with a single interface for all operational needs

What is your document/data quality and accessibility?

A

Documents and data are scattered, inconsistent, and difficult to access

B

Some data centralization but quality and consistency issues remain

C

Good data quality with most information accessible when needed

D

High-quality, real-time data accessible to all systems and stakeholders

How do you currently handle system upgrades and maintenance?

A

Reactive maintenance with frequent system downtime

B

Scheduled maintenance but still experience regular disruptions

C

Proactive maintenance with minimal business impact

D

Predictive maintenance and seamless updates with zero downtime

7. Process Optimization and Workflows

When an operational issue occurs, how quickly can your team resolve it?

A

Resolution depends heavily on finding the right person or information, highly variable

B

We have standard procedures, but staff often need guidance from supervisors

C

Most issues are resolved quickly using documented processes and training

D

AI provides step-by-step guidance, enabling immediate resolution by any team member

How standardized and documented are your operational processes?

A

Processes exist mostly in people's heads with limited documentation

B

Some documentation but inconsistent and often outdated

C

Well-documented processes that are regularly updated and followed

D

AI-powered dynamic process guidance that updates automatically

How does your organization handle operational challenges?

A

We're mostly reactive, responding to issues as they arise

B

We have some preventive measures but still catch many issues late

C

We use data and analytics to predict and prevent most operational problems

D

AI automatically identifies and resolves potential issues before they impact operations

8. People & Knowledge Management

When your staff needs to find operational procedures, vendor contacts, or compliance requirements, what happens?

A

They search through multiple systems, binders, or ask colleagues, often taking 10+ minutes

B

They have some digital systems but still need to check several sources

C

They have a centralized system that usually has the information they need

D

They get instant, accurate answers from an AI assistant in natural language

How long does it take new staff to perform at the level of experienced team members?

A

3-6 months of intensive training and mentoring

B

1-3 months with structured training programs

C

2-4 weeks with good documentation and support systems

D

1 week or less. AI provides instant access to institutional knowledge

How do you preserve and transfer institutional knowledge?

A

Knowledge exists primarily with long-term employees

B

Some knowledge documentation but still heavily dependent on key people

C

Good knowledge management systems with regular documentation updates

D

AI captures and provides access to all institutional knowledge automatically

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