AI handles the parts of your work that require information processing — research, synthesis, drafting, document review. That frees your team to spend more time on what actually requires expertise: the calls, the relationships, the judgment that doesn't transfer to a machine.

Five areas we'll cover today

• 01
  Market Research & Site SelectionSubmarket analysis, comp pulls, and tenant demand — compressed from days to hours.
• 02
  Investor & Partner CommunicationsDeal memos, LP updates, and annual letters — drafted in minutes instead of days.
• 03
  Due Diligence & Document ReviewLeases, entitlement files, contractor bids — reviewed and summarized at scale.
• 04
  Institutional KnowledgeFifty years of hard-won wisdom, captured and accessible to the next generation.
• 05
  Strategic PlanningNew markets, new asset classes, scenario analysis — faster and more informed.

AI doesn't replace the judgment or the relationships those communications represent. But it removes the friction of drafting — giving your team a strong first draft to react to, refine, and approve. What used to take a full day often takes an hour.

Common uses

• Quarterly LP updatesFeed AI the project status and key numbers; get back a structured draft letter in the voice you want.
• 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.

AI can review a set of documents and surface the things that matter: key terms, deviations from standard form, clause comparisons across competing contractor bids, plain-language summaries of complex legal language. Your team reads decisions — not documents.

Specific applications

• Lease abstractsUpload a 60-page lease; get back the rent schedule, options, co-tenancy clauses, and exclusives — summarized in plain terms.
• Contractor bid comparisonFeed AI three competing GC bids; it identifies meaningful differences in scope, allowances, and exclusions.
• Entitlement researchPull permit approval timelines, variance patterns, and development history for a target municipality before you commit team time.

AI can help capture that knowledge — through structured conversations, document analysis, and pattern synthesis — and make it available in ways that outlast any individual's tenure. For a company thinking about what the next chapter looks like, that kind of continuity has real value.

What this looks like practically

• Project retrospective analysisAI reviews a decade of completed project records and surfaces patterns: which development types yielded the best returns, where entitlement risk was consistently underestimated, which markets rewarded early entry.
• Lessons-learned captureStructured conversations with experienced team members, turned into permanent institutional reference — searchable, organized, and transferable.
• Decision frameworksThe criteria Evergreen uses to evaluate markets, assess tenants, and structure deals — documented and made available to the whole team.

For someone focused on general management, strategic direction, and new business development, AI is most useful as a research and synthesis engine. You bring the judgment — and fifty years of context that no AI has. AI brings the data, the background, and the analytical scaffolding that makes your judgment faster and better supported.

Where it applies at the leadership level

• New market evaluationBackground on population trends, employment drivers, development activity, and competitive supply in a market you're considering — ready before the first conversation.
• New asset class researchEvergreen's industrial expansion is a good example. AI can surface what's happening nationally in that asset class, who the active players are, and what the capital market appetite looks like.
• Scenario planning supportInterest rate scenarios, cap rate assumptions, exit timing analysis — AI can model alternatives quickly so decisions are made with more information.