AI Readiness Checklist for Real Estate

30 practical questions across five dimensions. Check off each item to gauge your organisation's readiness — then see your score and recommended next steps.

0 / 30 items checked Early stage — 0%

Data Foundations

0/6

The quality, accessibility and structure of your data determines the ceiling for any AI initiative.

Core operational data (repairs, tenancies, financials) is stored in a centralised digital system
Data is broadly accurate and up to date — you trust the numbers in board reports
Key records (leases, compliance certificates, contractor details) are digitised, not paper-only
You have unique identifiers for properties, tenants and contractors that are consistent across systems
Historical data exists for at least 12 months of the workflows you want to automate
You know where your data gaps are and have a plan (or appetite) to fill them

Technology Infrastructure

0/6

AI integrates with your existing systems — it doesn't replace them. Your tech stack needs to be accessible.

Your HMS / property management system has an API or supports data export
Your email, phone and/or chat systems can be integrated with third-party tools
You use (or are migrating to) cloud-hosted systems rather than on-premise-only
Your IT team has experience managing integrations between systems
You have staging or test environments where new tools can be trialled safely
Your information security policies allow for cloud-based AI tools (with appropriate controls)

People & Skills

0/6

AI changes roles, not headcount. Your people need to be ready for that shift.

Leadership has expressed support for exploring AI (not just general 'innovation')
You have at least one internal champion who will own the AI pilot day-to-day
Frontline staff are open to new tools — or you have a plan to bring them along
Your team understands the difference between AI automation and AI replacing their jobs
You have capacity to dedicate to a pilot (even just a few hours per week for oversight)
Training and upskilling are part of your organisational culture

Governance & Compliance

0/6

AI in regulated sectors requires clear guardrails. Good governance accelerates adoption, it doesn't slow it down.

You have a data protection officer (or equivalent) who can review AI data processing
Your organisation has conducted (or is willing to conduct) a DPIA for AI use cases
You have clear escalation procedures for decisions that require human judgement
Your board or executive team is willing to approve an AI governance framework
You understand your obligations under Awaab's Law, the RSH consumer standards and UK GDPR
You have (or can create) policies on AI transparency — telling tenants when they're interacting with AI

Commercial & Strategic

0/6

AI should solve a business problem, not be technology for technology's sake.

You can name at least one specific workflow where AI would have immediate, measurable impact
You know the current cost and performance of that workflow (baseline metrics exist)
You have budget allocated (or the ability to request budget) for a technology pilot
Your organisation's strategic plan references digital transformation or operational efficiency
You're willing to start with a focused pilot before committing to a full rollout
You have a realistic timeline expectation — weeks to first value, not months

Early stage

Your organisation is at the beginning of the AI readiness journey. That's fine — start with a data audit and a leadership alignment workshop, then revisit this checklist.