/ The deliverable

What an actual assessment looks like.

Below is a real format example of the AI Readiness Assessment our clients receive. Specifics are anonymized but the structure, scoring methodology, and depth are exactly what you would get in your own engagement.

Sample document · Fictional company "Cascade PM"
RadiateAI

AI Readiness Assessment

REPORT 2026-Q2-001

PREPARED 04.20.2026

CONFIDENTIAL

/ Sample report

AI Readiness Assessment for Cascade PM

Property management firm · 200 units · 18 employees · Phoenix metro

01 · Readiness score

Strong foundation, significant automation potential.

Cascade PM scores 68 out of 100 on the RadiateAI Readiness Index. A strong signal that the team and operations are ready for targeted AI implementation. Workflow analysis surfaced three high impact opportunities, all in customer communication and operational triage.

The single highest leverage opportunity is automating tenant email triage and response, which alone represents a projected 12 to 15 hours per week of recovered operator time. The team is technically prepared, the data is clean enough, and the existing tool stack supports integration without major rework.

68 / 100 Overall
Operational maturity 72
Data infrastructure 58
Automation potential 85
Team readiness 60
02 · Company snapshot

The picture today.

IndustryProperty management (residential)
Size18 employees · 200 units under management
Annual revenue~$2.4M
Current tech stackAppFolio, Microsoft 365, QuickBooks, Slack, custom maintenance portal
Current AI toolsChatGPT (3 team members, casual usage)
Data volume~80 inbound emails/day, ~40 maintenance tickets/week, 200 active leases
03 · Workflow analysis

Where time actually goes.

Based on stakeholder interviews and operational observation, these are the workflows consuming the most operator hours per week.

01

Tenant email triage and response

Recurring questions about pricing, hours, lease terms, payment status

22 hrs/wk
Pain: HIGH
02

Maintenance ticket routing

Manual categorization, vendor assignment, follow-up coordination

14 hrs/wk
Pain: HIGH
03

Lease renewal prep and follow up

Identifying upcoming renewals, drafting offers, chasing responses

9 hrs/wk
Pain: MED
04

Vendor invoice processing

Manual data entry from invoices into QuickBooks

6 hrs/wk
Pain: MED
05

Tenant onboarding

Welcome packets, document collection, orientation calls

4 hrs/wk
Pain: LOW
04 · Opportunity matrix

Every opportunity, scored.

Each opportunity is scored on impact (potential value created) and effort (resources required to implement). Priority combines both with strategic context.

#
Opportunity
Impact
Effort
Priority
1
Email auto triage and response AI categorizes and drafts replies for review
9.2
3.5
High
2
Maintenance ticket categorization Auto categorize, prioritize, route to vendors
8.5
4.2
High
3
Lease renewal automation Auto detect upcoming renewals, draft offers
7.8
5.0
High
4
Invoice OCR and entry Extract invoice data, push to QuickBooks
6.4
6.5
Medium
5
Tenant onboarding flow Automated welcome series, doc collection
5.2
4.0
Low
05 · Tool recommendations

Where to start.

Based on the opportunity matrix and your team's current capacity, we recommend starting with these three implementations in this order.

1. Email auto triage and response

Tools: Make.com + Claude API + AppFolio integration

Build an AI layer that intercepts inbound tenant emails, categorizes them, and either responds automatically (for clear template matches) or drafts a response for human review. Connect to AppFolio so tenant context is included automatically.

Setup cost
$2,800
Monthly
$120/mo
Time saved
12-15 hrs/wk

2. Maintenance ticket triage

Tools: Make.com + Claude API + custom routing logic

AI-powered classification of inbound maintenance requests by category, urgency, and vendor type. Auto routes to appropriate vendor and pre-fills work order with relevant tenant and unit context.

Setup cost
$3,500
Monthly
$80/mo
Time saved
8-10 hrs/wk

3. Lease renewal automation

Tools: AppFolio webhook + n8n + Claude API

Trigger automated renewal workflow 90 days before expiration. AI drafts personalized renewal offer based on tenant history, market conditions, and unit specifics. Operator reviews and approves.

Setup cost
$4,200
Monthly
$60/mo
Time saved
5-7 hrs/wk
06 · Honest read

Where AI is not the right fit.

The recommendations above are the "yes" list. This is the "no" list. Just as important.

What to avoid right now

  1. Do not buy an enterprise AI suite. At your scale, the per seat pricing and integration overhead would outpace the value you'd get. Stay with focused point tools until you outgrow them.
  2. Do not start with predictive analytics or forecasting. Your data infrastructure is not consolidated enough yet. The forecasts would be unreliable and the team would lose trust in AI quickly. Fix the data layer first.
  3. Do not automate tenant communication end to end. Operators we trust have all said the same thing: tenants notice when AI replaces human contact in sensitive conversations. Keep humans in the loop for renewals, complaints, and move out conversations.
  4. Do not hire a full time AI specialist. The recommendations above need 2 to 4 hours a week of internal ownership, not a 40 hour role. Designate an internal champion instead, or bring in an independent advisor for the first 6 months.

What to fix first

Two operational fundamentals will determine whether the AI recommendations land. Both are fixable in 30 to 60 days, no AI required.

  1. Standardize maintenance ticket intake. Right now requests come in via email, phone, and the resident portal. Consolidate to a single intake form. AI triage assumes consistent input.
  2. Document your top 20 tenant email templates. Most of your auto reply value comes from these. Write them once, version them, and you are ready for AI assistance. Skip this step and AI hallucinates from scratch every time.

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