The Commercial Real Estate Playbook

Ops Stack Audit

Map every tool in your CRE operations stack and identify API access, data quality, and integration gaps:

• CRM: Salesforce, HubSpot, ClientLook, Apto, VTS — where do deals live?
• Property Management: Yardi, AppFolio, MRI, RealPage — where do leases and financials live?
• Marketing: CoStar, LoopNet, CREXi, Buildout — where do listings get syndicated?
• Communication: Slack, Teams, email — where do brokers and PMs actually communicate?
• Document Storage: Google Drive, SharePoint, Box — where do lease files, OMs, and reports sit?

Identify Manual Handoffs

In CRE, the most expensive bottlenecks hide at the seams between systems:

• Deal closes in CRM but lease terms are manually keyed into Yardi
• Lease is signed but critical dates are tracked in a personal spreadsheet
• Broker gets a new listing but OM assembly takes two weeks of analyst time
• Tenant sends a maintenance request via email and it sits in someone's inbox
• Quarterly investor reports are assembled by copy-pasting from three different systems

Baseline Metrics

You can't prove ROI without a "before" snapshot. Measure these before you automate anything:

• Average deal response time (new inquiry to first broker contact)
• Lease abstraction time (receipt of lease PDF to completed abstract)
• Lease renewal tracking accuracy (how many renewals are tracked manually vs. systematically?)
• Reporting hours per quarter (time spent assembling investor or owner reports)
• OM assembly time (listing agreement to completed marketing package)
• Tenant communication lag (request to response time)

Lead Intake & Qualification

When a new inquiry hits — from a website form, LoopNet lead, or broker referral — the AI teammate handles initial qualification automatically:

Property Matching & Comp Research

Automate the research that eats broker time. When a tenant requirement comes in, the AI teammate instantly:

• Searches available inventory against size, location, and price requirements
• Pulls recent comparable lease transactions from internal deal history
• Compiles market data (vacancy rates, asking rents, absorption) for the target submarket
• Flags competing listings the tenant is likely evaluating

The result: A broker walks into a prospect meeting with a complete market brief instead of spending two hours on CoStar the night before.

LOI & Proposal Assembly

When a deal progresses to the offer stage, automate document assembly:

• Pull deal parameters from CRM (tenant, space, rate, term, TI allowance)
• Generate LOI draft from approved templates with deal-specific terms populated
• Attach relevant comps and market data as supporting documentation
• Route to broker for review, revision, and client delivery

Deal Status Tracking

Maintain real-time visibility across all active pursuits:

Lease Abstraction

The single biggest time sink in CRE back-office operations. A 100-page commercial lease contains hundreds of data points that need to be extracted and entered into your property management system. The AI teammate handles this automatically:

• Rent schedules (base rent, escalations, percentage rent thresholds)
• Critical dates (commencement, expiration, renewal option windows, termination rights)
• Financial terms (CAM caps, expense stops, TI allowances, free rent periods)
• Operating clauses (co-tenancy, exclusivity, radius restrictions, assignment/subletting rights)
• Insurance and compliance requirements

Renewal Date Tracking & Escalation

Missing a renewal option window or a lease expiration can cost hundreds of thousands of dollars. Automate the entire critical date workflow:

Tenant Communication Sequences

Automate routine tenant communication workflows:

• Rent increase notices — generated from lease terms, reviewed by PM, sent on schedule
• Renewal outreach sequences — multi-touch campaigns starting 12 months before expiration
• COI renewal reminders — automated tracking and follow-up for expired certificates
• Move-in/move-out coordination — checklist-driven communication sequences
• Building notices — construction alerts, maintenance schedules, holiday closures

Maintenance Request Routing

When a tenant submits a work order — via email, portal, or phone — the AI teammate categorizes, prioritizes, and routes it to the right vendor or maintenance team without PM intervention. Emergency requests get escalated immediately. Routine requests get queued and batched.

Rent Escalation Calculations

Automate rent bump calculations based on lease terms — CPI adjustments, fixed percentage increases, fair market value resets. The AI teammate reads the lease clause, pulls the relevant index data, calculates the new rate, and stages the update for approval.

Property Marketing Package Assembly

Building an Offering Memorandum or marketing package is one of the most time-consuming tasks in brokerage. It requires pulling data from multiple sources and assembling it into a polished document. Automate the assembly:

• Pull property photos, floor plans, and site plans from document storage
• Import financial data — rent roll, operating statements, cap rate analysis
• Compile market data — submarket vacancy, comparable sales, demographic trends
• Populate branded templates with deal-specific content
• Generate executive summary and investment highlights from property data

The result: A 50-page OM that used to take two weeks of analyst time gets assembled in hours. The broker reviews, refines the narrative, and publishes.

Listing Syndication Tracking

When a property goes to market, track listing performance across every platform:

• Monitor views, inquiries, and saves across CoStar, LoopNet, CREXi, and your website
• Track which listings are generating qualified leads vs. tire-kickers
• Alert brokers when a listing goes stale (declining views, no inquiries in 14+ days)
• Recommend pricing or marketing adjustments based on engagement data

Tour Scheduling & Follow-Up

Automate the coordination around property tours:

• Prospect requests tour — AI confirms availability with property management
• Pre-tour: compile property brief, comparable spaces, and prospect company research
• Post-tour: auto-draft follow-up email with additional property details and next steps
• Follow-up sequence: escalating touches if no response within 48 hours, 1 week, 2 weeks

Investor Update Report Generation

For investment managers and asset owners, automate the quarterly reporting cycle:

• Pull occupancy, rent collection, and NOI data from property management system
• Compile capital expenditure summaries and budget variance analysis
• Generate narrative commentary on property performance and market conditions
• Assemble branded report package with charts, tables, and executive summary

Quarterly Performance Package

Assemble comprehensive quarterly packages for ownership groups and investment committees — combining financial performance, leasing activity, capital project status, and market positioning into a single deliverable. What used to take a week of analyst time becomes a one-day review cycle.

Portfolio-Wide Occupancy Tracking

Real-time occupancy visibility across every asset in your portfolio. No more assembling spreadsheets from individual property managers — the AI teammate pulls data from Yardi, MRI, or AppFolio and posts a living occupancy summary to your ops channel:

• Current occupancy by property, submarket, and asset class
• Trending occupancy (improving, stable, declining) with early warning flags
• Vacant space inventory with days-on-market tracking
• Occupancy benchmarking against submarket averages

Lease Expiration Heat Maps

Visualize lease rollover risk across your portfolio. The AI teammate generates rolling 36-month expiration profiles showing:

• Square footage and revenue at risk by quarter
• Concentration risk (what happens if your top 3 tenants don't renew?)
• Properties with clustered expirations that need proactive leasing attention
• Renewal probability scoring based on tenant engagement and market conditions

Market Comp Monitoring

Continuously monitor the competitive landscape:

• Track asking rents and concession packages at competing properties
• Monitor new construction and deliveries that will impact your submarket
• Flag significant lease transactions (large tenants moving, competitor buildings trading)
• Surface market trends that should inform leasing strategy and pricing

Revenue Forecasting

Move from backward-looking reporting to forward-looking intelligence:

• Project revenue impact of known lease expirations, renewals, and new leases
• Model scenarios — what if vacancy increases 5%? What if you lose your anchor tenant?
• Track actual vs. budgeted performance with variance explanations
• Surface properties that are trending below forecast for early intervention

Tenant Credit Monitoring

Proactively monitor tenant financial health across the portfolio. The AI teammate tracks public filings, news, payment patterns, and credit signals to flag at-risk tenants before they miss rent — not after.