Practical Uses for AI
Evergreen
A practical look at where AI creates real leverage — for your people, your deals, and your thinking.
AI for EvergreenThe Right Frame
Where to Start
A thinking partner and research engine — not a replacement for judgment
- AI handles information workResearch, synthesis, drafting, document review — the work that takes time but doesn't require expertise.
- Your team handles everything elseThe calls, the relationships, the judgment. That doesn't transfer to a machine.
- The right questionNot "how does AI work" — but "what would I do with an extra ten hours a week, with fifty years of experience still driving every decision."
AI for EvergreenFive Areas
What We'll Cover
Five areas we'll cover today
- 01Market Research & Site SelectionSubmarket analysis, comp pulls, tenant demand — days compressed to hours.
- 02Investor & Partner CommunicationsDeal memos, LP updates, annual letters — drafted in minutes.
- 03Due Diligence & Document ReviewLeases, entitlement files, contractor bids — reviewed and summarized at scale.
- 04Institutional KnowledgeFifty years of hard-won wisdom, captured and accessible.
- 05Strategic PlanningNew markets, new asset classes, scenario analysis — faster and better informed.
AI for EvergreenThe Core Idea
The question isn't whether AI belongs in real estate. It's which parts of your day deserve a human.
AI for Evergreen01 · Market Research
01 · Market Research & Site Selection
Days of research, compressed to an hour
- What used to take a dayDemographics, competitive supply, anchor tenant news, permit activity — each from a different source, manually assembled.
- What AI makes possibleSame scope, same quality — formatted and ready to act on before your next meeting.
- For Evergreen specificallyScreen more opportunities in California, Colorado, and Utah. Track competing activity in Phoenix and Denver. Qualify industrial sites before committing team time.
AI for Evergreen02 · Investor Communications
02 · Investor & Partner Communications
Investor updates, deal memos, and LP letters — drafted in minutes, not days
- Quarterly LP updatesFeed AI the project status and key numbers. Get back a structured draft letter — ready to review and send.
- Deal introduction memosSite overview, market rationale, return thesis — structured and ready for partner review.
- Annual investor lettersYear-in-review narrative, portfolio summary, forward outlook — drafted from your notes.
- The time calculationA 4-hour investor update takes 45 minutes with AI. Across a year of LP communications — the reclaimed time is significant.
AI for Evergreen03 · Due Diligence
03 · Due Diligence & Document Review
Your team reads decisions — not documents
- Lease abstractsUpload a 60-page lease; get the rent schedule, options, co-tenancy clauses, and exclusives — in plain terms.
- Contractor bid comparisonFeed AI three competing GC bids; it identifies meaningful differences in scope, allowances, and exclusions.
- Entitlement researchApproval timelines, variance patterns, and development history for a target municipality — before you commit team time.
AI for Evergreen04 · Institutional Knowledge
04 · Institutional Knowledge
Fifty years of hard-won knowledge — made accessible
- Project retrospective analysisWhich development types yielded the best returns. Where entitlement risk was underestimated. Which markets rewarded early entry.
- Lessons-learned captureStructured conversations with experienced team members, turned into permanent institutional reference — searchable and transferable.
- The continuity playThe knowledge that built 600 projects doesn't have to leave when people do.
AI for Evergreen05 · Strategic Planning
05 · Strategic Planning & New Business
You still make the call — with better information, faster
- New market evaluationPopulation trends, employment drivers, development activity, competitive supply — ready before the first conversation.
- New asset class researchWhat's happening nationally in industrial. Who the active players are. What the capital market appetite looks like.
- Scenario planningInterest rate scenarios, cap rate assumptions, exit timing — modeled quickly so decisions are made with more information.
AI for EvergreenIn Practice
Getting Practical
Six practical things Evergreen can do with the technology available right now
- 01Full market snapshot on a new submarketDemographics, competitive supply, anchor tenant trends, development pipeline — under an hour.
- 02LP update first draftProject status and key financials in; structured investor letter out — ready to review and send.
- 03Lease comparisonTwo leases in; meaningful differences in rent, options, co-tenancy, and exclusives surfaced.
- 04Site screening memoRaw site data in; formatted decision memo out — before the team spends time on a site visit.
- 05Entitlement timeline researchPermit approval patterns and development activity for a target municipality — before you engage.
- 06Competitive landscape briefWhat major developers have built in a target market over the past 24 months — who, what, and at what scale.
AI for EvergreenWhat We Could Build
Going Further
Purpose-built agents for Evergreen's specific work
- 01Market IntelligenceSubmarket in, structured memo out — demographics, pipeline, permit activity, cap rates. Days of research in minutes.
- 02Lease AbstractUpload a lease; get a plain-language summary flagging deviations from your standard form.
- 03LP Update DraftingMilestones and numbers in; investor update in Evergreen's voice out — ready to review and send.
- 04Site ScreeningAddress in, one-page memo out. Answers "worth a deeper look?" before any team time is spent.
- 05Institutional KnowledgeAn agent trained on Evergreen's project history. "What have we learned about value-add in Denver?" The knowledge continuity play.
- 06Deal Pipeline MonitorWatches listing services, permit feeds, and broker networks continuously for opportunities matching Evergreen's criteria.
AI for EvergreenROI Calculator
The Numbers
What market research savings look like for Evergreen
Market snapshots per month 8
Hours per snapshot today 6 hrs
Hourly analyst cost $85
Sites screened per deal 12
Hours saved / month
—
at 75% time reduction
Monthly cost savings
—
analyst time reclaimed
More sites screened
—
same team, same time
Annual savings
—
direct cost reduction
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