Transform your CRE operations with purpose-built AI agents and strategic implementations. Our AI solutions extract deep insights from your property data, automate complex workflows, and enhance decision-making across your portfolio.
Purpose-built solutions to transform your operations and enhance decision-making
Goal: Extract key lease data (dates, rent, clauses, terms) from PDF leases using GPT models.
Output: Deeply nested JSON to preserve original legal phrasing and ensure traceability.
Use Case: Standardize and validate leases across hundreds of properties for compliance and analytics.
Goal: Generate professional, data-rich investor reports using structured templates.
Strategy:
Delivery: Power BI dashboards + auto-generated PDF reports.
Goal: Run monthly scans across properties to flag:
Approach: Enrich tenant data using external sources + AI summary of risk by market.
Used For: Automating comparisons across rent rolls, trial balances, GL exports.
Capabilities:
Often paired with: Email alert summaries and BI dashboards.
Focus: Help teams validate Argus exports, appraisals, or third-party valuations.
AI Tasks:
A structured approach to transform your organization with AI
Scale and govern AI adoption across your CRE platform
Schedule a personalized demonstration to see how our AI agents can transform your specific workflows and deliver measurable value.
Schedule a consultation with our AI strategy team to discover how our solutions can address your specific needs and create measurable value.
Common questions about implementing AI strategy in CRE operations
AI strategy for commercial real estate involves implementing artificial intelligence solutions to automate data processing, enhance decision-making, and extract insights from property data. This includes lease abstraction, tenant analysis, valuation reviews, and creating data-driven investor reports.
AI-powered lease abstraction uses machine learning and natural language processing to automatically extract key information from lease documents, including critical dates, rent escalations, renewal options, and tenant obligations. This reduces manual processing time by up to 60% while maintaining higher accuracy.
Organizations typically see 30-40% time savings on data analytics, 60-85% reduction in manual data processing, and significant improvements in data quality. The exact ROI depends on your current processes, data quality, and implementation scope, which we assess during the 4-week AI readiness evaluation.
Following our structured approach, organizations typically complete the 4-week assessment phase, followed by 2-3 months for initial implementation of high-value AI agents. Full AI Center of Excellence development usually takes 6-9 months, with continuous refinement and expansion thereafter.
While cleaner data produces better results, our AI implementations include data quality assessment and enhancement components. Many clients use AI specifically to help structure and clean their data as part of the implementation process.