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Real Assets
AI Agents & Automation for Real Estate
Underwrite faster, lease smarter, and run buildings with less manual workload.
AI agents across acquisition, leasing, and operations for owners, operators, and managers.
Market Context
- $330T
Global real estate market value
- 70%+
Of CRE data trapped in unstructured documents
- 50-70%
Of asset manager time on data prep, not analysis
- 20-30%
Of building energy spend addressable via AI
Industry View
Where AI changes the operating model.
Real estate runs on data — rent rolls, leases, comps, operating budgets — most of which sits in PDFs and spreadsheets. AI now extracts, structures, and acts on that data continuously.
ClearForge builds production AI for real estate owners and operators across acquisitions, leasing, and asset management.
Real Estate Value Chain
Every function. Every activity. Where AI fits.
The full operating value chain for real estate — and the specific activities ClearForge automates or runs as AI agents inside each function.20 addressable activities across 5 functions.
AI agent
Predictive model
Copilot
Workflow automation
01
Acquisitions
Process more deals with less manual underwriting drag.
Deal-screening agent
AI agentAgent screens incoming OMs against thesis criteria, drafts initial memo
5-10x deal-throughput
Rent-roll extraction
Workflow automationAuto-extract rent roll data from PDFs into structured model
95%+ accuracy at 100x speed
Comp-set analysis
AI agentAgent assembles comps and benchmarks for any submarket
Hours instead of days per IC memo
IC-memo drafting
CopilotPre-draft IC memos from data room, market data, sponsor history
60-80% drafting time reduction
02
Leasing
Shorten cycle times and lift retention.
Lease-abstract automation
Workflow automationAgent extracts terms from lease docs into standardized format
90%+ abstraction time reduction
Tenant-matching agent
AI agentMatch available units to prospects by industry, fit, and financial strength
25-50% leasing-cycle compression
Rent-recommendation model
Predictive modelRecommend asking rents by unit type and submarket comp
2-6% effective rent lift
Renewal-risk model
Predictive modelPredict tenants likely to vacate; trigger retention plays
5-15 pts retention lift
03
Asset Management
Move asset managers from data-prep to portfolio-decision work.
Performance-monitoring agent
AI agentDaily monitoring of NOI, occupancy, capex against plan with anomaly alerts
Catch issues days, not quarters, sooner
Hold-vs-sell model
Predictive modelContinuously update hold-vs-sell IRR per asset
Better-timed dispositions
Capital-plan optimization
Predictive modelOptimize capex spend across portfolio for best ROI
10-20% capex prioritization improvement
Investor-reporting agent
AI agentAuto-generate investor reports with commentary and supporting data
Same-day reporting cycle
04
Property Operations
Run buildings with less labor and lower opex.
Work-order triage
AI agentClassify maintenance requests, route to vendor or tech, predict cost
30-50% faster response time
Energy optimization
Predictive modelModel controls HVAC schedules and setpoints by occupancy + weather
10-25% energy spend reduction
Tenant-service agent
AI agentChatbot handles routine tenant questions, requests, and updates
50%+ deflection of inbound calls
Vendor-bid normalization
AI agentStandardize and compare contractor bids automatically
5-15% capex savings on RFP work
05
Capital Markets
Move debt and equity faster with cleaner data.
Loan-document drafting
AI agentAgent generates first-draft loan applications and supporting packages
Cycle time compression of weeks
Lender-Q&A agent
AI agentAgent fields lender Q&A from data room with cited evidence
50%+ reduction in management time
Refi-opportunity model
Predictive modelModel identifies refinancing opportunities by loan + rate environment
Capture more refi value, faster
Capital-call automation
Workflow automationAutomate capital call calculations, distribution waterfalls, and notices
Eliminate manual errors, faster cycles
Industry Challenges
Where real estate operators are losing margin today
Document-Heavy Workflows
Leases, OMs, rent rolls, and loan docs sit in PDFs. Extracting and acting on the data is the slowest part of every workflow.
70%+Of CRE data is unstructured
Asset-Manager Productivity
Most asset-manager time is consumed by data prep, not portfolio decisions.
50-70%Of AM time on data prep
Energy & Opex
Building operations represent 30-40% of NOI. Manual property management leaves measurable savings on the table.
20-30%Of energy spend addressable
Decision Speed
Acquisitions, leasing, and capital-markets cycles all run on weeks-of-document-review timelines that AI compresses to days.
$330TGlobal market
The Forge Method
How ClearForge ships AI in real estate.
The Forge Method for real estate starts with the document-heavy workflow that gates everything else — usually rent-roll abstraction or lease abstraction. Sprint deploys 1-2 agents integrated to property management or investment systems. Scale operates the agents and expands across portfolio.
4 wks
Forge Diagnostic
10 wks
Forge Sprint to production
Ongoing
Forge Scale operating cadence
Get a custom value chain for your business.
Forge Intelligence™ generates a personalized AI value chain from your website — every function, every activity, with the specific automations we'd ship first.