The AI-Readiness Checklist for CRE Firms
The AI-Readiness Checklist for CRE Firms
Score your firm against the same four-dimension rubric behind our $5,000 AI Opportunity Audit: data readiness, workflow drag, stack and integration, and security and governance. Answer 22 questions, total your score out of 100, and land in one of three honest tiers.
TL;DR
Self-assess your firm's AI readiness in about 15 minutes using the same rubric we run on every paid audit. Answer 22 scored questions across four dimensions, total your score out of 100, and land in one of three honest tiers: Not-ready, Foundational, or Ready-to-build. Each tier tells you the single next step, including when that step is to wait. This free 7-chapter guide covers why readiness comes first, dimension 1: data readiness, dimension 2: workflow drag, and more. Key insight: 22 questions (NextAutomation AI Opportunity Audit rubric).
Self-assess your firm's AI readiness in about 15 minutes using the same rubric we run on every paid audit. Answer 22 scored questions across four dimensions, total your score out of 100, and land in one of three honest tiers: Not-ready, Foundational, or Ready-to-build. Each tier tells you the single next step, including when that step is to wait.
What's Inside
Why Readiness Comes First
Most stalled AI projects fail on the data underneath, not the model. Why an honest self-check is the cheapest information you will buy this quarter, and how the 0 to 3 scale works.
Dimension 1: Data Readiness
Where your deal data lives, what format it is in, and whether a system could reach it without a person re-keying it. Six scored questions, and what a low or high score means.
Dimension 2: Workflow Drag
Which recurring tasks eat analyst hours and whether you have actually mapped them. Six scored questions on the bottleneck you can name versus the one you only sense.
Dimension 3: Stack and Integration
The systems you run today and whether they can be connected. Five scored questions on API access, ownership, and fragmentation.
Dimension 4: Security and Governance
How you handle confidential deals and whether your AI posture keeps them off training data. Five scored questions on the dimension firms skip and regret.
Scoring and Your Tier
Convert your raw total to a 0 to 100 score, find your tier, and run the weakest-dimension check that can override it. Not-ready, Foundational, and Ready-to-build explained.
What to Do Next
The single honest next step per tier, plus a short prep list so that whether you commission the audit or scope a build, week one goes to your operation and not to chasing files.
What Key Statistics Should You Know?
the scored self-assessment behind our $5,000 AI Opportunity Audit, run across four dimensions in about 15 minutes
Source: NextAutomation AI Opportunity Audit rubric
data readiness, workflow drag, stack and integration, and security and governance, the same four the paid audit checks
Source: NextAutomation AI Opportunity Audit rubric
your score out of 100 maps to Not-ready, Foundational, or Ready-to-build, each with one concrete next step
Source: NextAutomation AI Opportunity Audit rubric
of investors JLL found still unprepared, strategically, organizationally, and technically, to scale AI, and data is usually the reason
Source: JLL, Real Estate's AI Reality Check