Top 28 AI tools for commercial real estate: 2025 playbook

AI is already making an impact in commercial real estate. Morgan Stanley says 37% of tasks can be automated today. A recent Deloitte survey found that 51% of real estate executives plan to invest in AI to digitize processes. And the broader AI market is growing fast, with Statista projecting a 26.6% annual growth rate through 2031.

With so many tools and potential use cases out there, it’s tough to know what’s worth your time.

This article covers the most relevant AI solutions for CRE and looks at future market trends already making an impact now.

Why AI matters in commercial real estate today

Ways that AI-powered commercial real estate tools can support the commercial real estate industry include:

• Improve decision-making with data-driven insights: Centralizing data from internal systems and third-party providers and then leveraging AI technology makes it easier to spot trends and opportunities.
• Automate manual and repetitive workflows: AI tools can help commercial real estate professionals automate workflows like lease administration, maintenance scheduling, or invoice processing.
• Unlock new value from unstructured data: Real estate teams can use machine learning to pull insights from unstructured sources. For example, analyzing inspection reports, tenant messages, and service records can shed light on the tenant experience.
• Enable faster, smarter capital deployment: Machine learning and AI can help firms quickly assess real estate investments, giving them a competitive edge by allowing them to move faster in the market.

Must-have AI tools for commercial real estate teams

The top solutions for real estate investment firms, property managers, and commercial real estate brokers include:

Agora

Agora is a complete commercial real estate investor relations platform. It simplifies capital raising, asset oversight, and investor communication in a single system. This AI-powered solution helps GPs automate tasks like investor onboarding, distribution management, and investor reporting.  Key features include:

• Investor Portal: Provides real-time access to performance data and investor-specific documents like K-1s.
• Investor CRM: Supports fundraising, ongoing communication, and provides a complete view of all investor interactions. 
• Digital subscriptions: Simplifies onboarding and capital commitment for limited partners. 
• Smart Questionnaire: Uses AI and document processing to guide investors through signatures for a faster, low-friction experience.
• Waterfall calculations: Automated calculations to support even the most complex models.
• Reporting: Report builders and templates streamline investor updates and ongoing communication. 
• AI Smart Assistant: Reduces support tickets by automating inquiries and resolving issues in real time with natural, accurate responses.

With robust security measures like ISO/IEC 27001, SOC 1 compliance, and bank-grade encryption, firms can manage sensitive investor data with speed and confidence. 

LeaseLens

This software uses machine learning to analyze complex lease agreements and pull key data points in minutes. In the commercial real estate space, especially in segments like triple net, retail, industrial, or office leases, where no two agreements are the same, this software helps teams quickly understand terms and evaluate scenarios.

Key features include:

• Extraction: Pull over 200 data points from leases like title, critical dates, square footage, and renewal options.
• Customizable: Create user-specific lease abstractions tailored to each property manager or investor’s needs.
• Human review: Incorporate human feedback prior to finalizing extracted data points to verify accuracy and details.

Prophia

Prophia provides powered lease abstraction and data management. Acquisition teams, lenders, brokers, and legal professionals use this technology to quickly assess lease details. Commercial real estate agreements are often complex, so being able to access key terms quickly helps firms speed up risk assessment and identify opportunities.

Key features include:

• Document upload: Drag and drop documents in over 42 different supported file types for bulk processing.
• Portfolio management: Consolidate documents into a centralized source of truth for complete lease information.
• Reporting: Review detailed insights, customized reports, and real-time updates to make operational decisions quickly.

PipeCRE

This customer relationship management software supports commercial real estate brokers and agents. It’s currently in beta and will provide lead management, deal tracking, and transaction management to help projects stay on track from start to finish.

Key planned features include:

• AI-automation: Supporting the complete CRE workflow, including deal sourcing to closing and portfolio management.  
• Risk mitigation: Using AI machine learning to flag potential risks like challenging lease clauses or market dynamics to help protect clients from errors. 
• Collaboration: Facilitates team workflows to improve coordination throughout the deal lifecycle. 

Docsumo

Docsumo is an intelligent document processing platform that extracts data from many types of documents, like invoices, rent rolls, insurance forms, and lease agreements. It uses optical character recognition (OCR), natural language processing (NLP), and machine learning to quickly capture key data points and integrate them into an operational workflow.

Key features:

• All data types: Supports data extraction from structured and unstructured data, including bank statements, invoices and tax returns, even if the data is non-standard. 
• Integrations: API and integration capabilities to connect within existing workflows and processes.
• Model flexibility: Offers pre-trained and customizable models to align with business requirements.

Elise AI

This technology supports property management by automating tenant communication across channels like email, SMS, phone, and chat. It streamlines leasing, maintenance, renewals, and delinquency outreach while providing real-time insights in a single dashboard.

Key features include:

• Leasing CRM: Centralizes all prospect and resident data to automate leasing, reporting, and operational workflows. 
• Reporting: Dashboard reporting with metrics into the entire leasing funnel.
• Integration: Seamless integration with property management tools and other operational software.

Here’s a comparison table of the top AI tools in commercial real estate, including their primary function, key users, and how each supports automation.

AI-powered tool	Primary function	Key users	Automates or supports
Agora	Investor relations platform	Investor relations	Onboarding, communication, reporting, distributions, compliance
LeaseLens	Lease abstraction	Legal, acquisitions	Lease review
Prophia	Lease abstraction	Legal, acquisitions	Lease review
PipeCRE	CRM	Brokers, agents	Lead and deal tracking
Docsumo	Document processing	Operations and back office	Data extraction from forms
Elise AI	Tenant communication	Multifamily property managers	Leasing, maintenance, renewals

 

AI tools for data analysis and market research

Deal flow is the backbone of the commercial real estate sector. According to PWC’s mid-year report for 2025, property values are down 20% from peak. Investors are turning to AI to assess financial data, demographics, and market trends more efficiently to stay competitive. This gives CRE firms an edge in identifying and acting on new deals. Key tools include:

• Reonomy: CRE professionals can use Reonomy’s property data to research potential investment opportunities, find off-market deals, and build lead lists based on owner and asset details.
• CoreLogic: This property data analysis platform provides access to information like ownership, valuations, and transaction history. It also offers tools for risk assessment, fraud detection, and market trends.
• HouseCanary: For any real estate business needing residential real estate data, HouseCanary aggregates and analyzes data on over 130 million properties to support comparable market analysis and predictive analytics for future property values.
• Trellis: By extracting information from a wide range of data sources, Trellis helps real estate teams quickly understand property details, including leases, rent rolls, and contracts.
• OpenAI Advanced Data Analysis: This feature in ChatGPT is a general-purpose tool real estate users can leverage to summarize and visualize data.

AI in underwriting and investment analysis

AI technology can also support faster underwriting with tools like:

• Enodo: Multifamily real estate professionals can use Enodo to support due diligence and deal underwriting. It leverages predictive analytics and machine learning to evaluate rents, estimate expenses, and model the impact of amenities or upgrades.
• Proda AI: This AI tool supports asset management teams by standardizing rent roll data across various formats and sources to enhance management and accuracy.
• Blooma: Commercial real estate lenders use Blooma to collect and analyze deal data, review borrower and asset information, and streamline the lending decision process.

AI for marketing, leasing, and tenant experience

Property owners and asset managers can increase occupancy and reduce turnover by leveraging AI tools to support the tenant acquisition and retention process.

• Virtual Staging AI: This software uses artificial intelligence to allow users to furnish empty rooms in property photos and make listings more appealing to potential tenants or buyers.
• Matterport: Real estate teams can use Matterport to create interactive virtual tours of a property to support virtual showings and enhance marketing materials.
• REimagineHome: Another AI tool that supports property marketing, REimagineHome provides photo-based virtual staging and design.
• Qbiq: This architectural design tool helps commercial real estate teams with space planning and optimization by providing editable CAD and Revit files.
• Elise AI: Leasing managers can automate all the tasks associated with property tours, including scheduling, sending confirmations and instructions, collecting tenant lead information, and handling follow-ups.
• Canva: This AI-powered platform helps commercial real estate agents and agencies create professional marketing materials such as social media posts, property prospectuses, and investment flyers.

AI-powered document and lease management

Moving quickly on opportunities gives firms a significant advantage in the marketplace. Access to relevant data enables faster decision-making and more responsive communication with stakeholders. Key AI-powered tools include:

• Agora: Investment firms use Agora to securely store documents like leases, tax forms, and agreements. The platform automatically identifies, categorizes, and assigns them to the correct investor or entity.
• LeaseLens: Property managers and investors can extract key terms from complex leases in minutes, helping teams quickly evaluate deals across different asset types.
• Prophia: This AI technology helps commercial real estate teams analyze lease agreements quickly to assess risk and support underwriting decision-making.
• Docsumo: Investors can speed up due diligence by using Docsumo to identify key terms in documents like rent rolls and insurance forms and add them to operational workflows.

Generative AI assistants for commercial real estate

OpenAI released its original AI model in November 2022, enabling users to ask questions in natural language and receive responses. Other companies soon developed alternatives, and CRE professionals began adapting these tools for industry use. Today, these generative AI assistants continue to offer strong capabilities such as:

• ChatGPT: As the first mainstream conversational AI tool, firms can set up custom GPTs to support real estate operations like DCF financial models, drafting investor communications, and analyzing market trends and data.
• Claude AI: This AI tool can also help draft documents, summarize leases, summarize reports, and help with investor correspondence.
• Google Gemini: Google’s conversational AI can process text, images, and information like market data to help automate research and assist with drafting communications.
• A.CRE Assistant: This purpose-built tool for commercial real estate provides underwriting, financing modeling, technical CRE question support, and guidance on deal structuring.

Tool	Common CRE use cases
ChatGPT	DCF financial models, investor communications, and market analysis
Claude AI	Drafts documents, summarizes leases and reports, and investor correspondence
Google Gemini	Processes text, images, and market data for research and communication
A. CRE Assistant	Provides underwriting help, financial modeling, and deal structure support

Reporting

Regular reporting needs like property valuation, financial analysis, and operational performance tracking can be processed faster with artificial intelligence software like:

• Excel 4 CRE Add-in: This specialized add-in helps firms determine investment strategies with automated property cash flow modeling and rent rolls directly in Excel.
• GPTExcel: This tool uses an AI model that allows real estate companies to easily create formulas for managing complex spreadsheet tasks and reporting.
• FormulaBot: CRE professionals can make natural language requests into Excel or Google Sheets formulas to automate tasks like data analysis and advanced spreadsheet reports.
• Microsoft Copilot in Excel: This integrated AI assistant in Excel can analyze data, create charts, and automate reporting using conversational prompts.
• GlideApps: One of the no-code AI applications that can take property data in spreadsheets and create interactive dashboards.

Emerging trends in AI tools for commercial real estate

The race to build AI tools for the commercial real estate industry means that this space is changing fast. New trends to watch are:

Rise of vertical AI agents (CRE-specific copilots)

For the past couple of years, most of the mainstream artificial intelligence capabilities have been around conversational AI assistants that answer queries. The next evolution of AI tools includes agents that automate tasks and support custom workflows. Instead of providing output, these digital coworkers can take direct action. Examples for the commercial real estate industry are:

• Updating lease terms.
• Maintenance scheduling.
• Lead follow-up.

These agents integrate within the CRE technology stack, like CRM, Investor Portal, and property management software, to remember company-specific details. Over time, their specialized company knowledge allows them to enhance operational efficiency.

Generative AI for investment committee memos and reports

The commercial real estate industry has several operational areas that currently rely on document-heavy processes. This includes due diligence, reporting, and investor communications. Many firms already use AI technology to summarize complex documents, and the next evolution includes actual document creation.

Firms plan to leverage machine learning algorithms and other tools to pull data from multiple sources, standardize the analysis, and speed up the approval process. AI tools will support investment memos, portfolio summaries, and real-time reporting as these capabilities grow.

AI-driven ESG and energy performance analytics

The vast amounts of data coming from smart devices, management systems, and even utility invoices are almost impossible for the human brain to process quickly. AI tools can now analyze data from sensors and systems to optimize energy management and automate compliance tracking. This helps support sustainability goals with capabilities like:

• Adjusting HVAC and lighting systems in real-time.
• Scheduling predictive maintenance.
• Detect usage anomalies and provide immediate notifications.

Pulling these data sources into centralized management can help provide actionable insights, progress tracking, and proactive operational support to meet ESG and other sustainability goals.

Personalized investor communication powered by LLMs

AI tools like ChatGPT or Claude can create tailored messaging and reports for individual investors. By analyzing property performance data, market trends, and investor preferences, these models can generate emails, updates, and investment summaries for each recipient. Examples include:

• Generate investment opportunity details, capital call notices, and quarterly reports.
• Support investor questions with context-aware personalized answers.
• Scale personalized outreach to help firms scale while still providing a high-touch experience.

Conclusion

Precedence Research predicts the global proptech market will grow at a 16% CAGR through 2034, with AI leading innovation in data processing, task automation, and investor experience. This transformation allows firms to offload tedious work and focus more on human-centric activities like building relationships and determining investment strategies.

With no signs of slowing down, staying updated on this evolving space will help firms capitalize on future trends and adapt more quickly to changing market conditions, investor expectations, and regulatory developments.

Commercial real estate investment firms looking to enhance investor relations and operational tasks like compliance, reporting, and distribution management can benefit from Agora’s complete platform. Its end-to-end investor lifecycle management reduces operational burden, so you can focus on scaling your business.