CRE's AI Transformation: How Agentic Platforms Like Uniti AI Are Reshaping Sales & Leasing

The commercial real estate industry just witnessed a defining moment. In March 2025, Uniti AI secured $4 million in seed funding to expand its agentic AI platform for CRE operators—a milestone that signals the industry's rapid embrace of sophisticated artificial intelligence beyond basic chatbots and simple automation tools.

The $4 Million Signal: Why Uniti AI's Funding Marks a Turning Point for CRE

Uniti AI's funding round, led by Prudence with participation from Alate Partners, Flex Capital, Observer Capital, and RE Angels, represents more than just another PropTech investment. It validates a fundamental shift from traditional CRM systems to agentic AI platforms that can autonomously engage prospects, qualify leads, and drive conversions across multiple channels simultaneously.

This transformation is happening against a backdrop of explosive market growth. According to Precedence Research, the global agentic AI market was valued at $5.25 billion in 2024 and is projected to reach an astounding $199.05 billion by 2034—representing a compound annual growth rate of 43.84%. For commercial real estate, this means the industry is moving beyond experimental AI implementations to mission-critical deployments that directly impact revenue and operational efficiency.

The urgency is real. JLL Research's 2025 Future of Work Survey found that 89% of CRE C-suite leaders believe AI can help solve major industry challenges. The question isn't whether to adopt AI, but how quickly organizations can implement sophisticated agentic platforms that deliver measurable business results.

Understanding Agentic AI: The Next Evolution Beyond Traditional CRE Technology

To understand why Uniti AI's approach represents such a significant advancement, it's important to distinguish agentic AI from the basic automation tools that many CRE firms have implemented over the past decade.

Traditional automation follows predetermined rules and workflows. A basic chatbot might answer frequently asked questions or route inquiries to the appropriate department, but it operates within rigid parameters and requires constant human oversight.

Agentic AI platforms, by contrast, operate with genuine autonomy. They can perceive their environment, make decisions, and execute complex actions iteratively toward achieving defined objectives. As Adventures in CRE explains, these platforms "go beyond single-task automation—they integrate data sources, software tools, and dynamic workflows to perform complex, multi-step tasks autonomously."

The key characteristics that distinguish agentic AI include:

• Multi-modal communication: Seamless engagement across email, SMS, voice, and web chat
• Continuous learning: Platforms that improve performance based on interaction data and outcomes
• Contextual understanding: Large Language Model (LLM) integration enabling natural language processing and generation
• Autonomous decision-making: The ability to qualify leads, schedule appointments, and escalate issues without human intervention

This technological sophistication explains why the agentic AI market is experiencing such explosive growth, with cognitive agents already accounting for 34% of the market in 2024, according to Precedence Research.

Uniti AI Case Study: LLM-Native Platform Redefining CRE Sales Automation

Having operated in stealth mode for 18 months, Uniti AI emerged with a platform that exemplifies the next generation of CRE technology. Founded by CEO Francesco Decamilli and co-founder Emre Altinok, the company has already scaled globally across 10+ countries, serving office/coworking, self-storage, multifamily, and brokerage operations.

Technical Architecture and Capabilities

What sets Uniti AI apart is its LLM-native design, which enables natural language interactions that feel genuinely conversational rather than scripted. The platform allows CRE operators to deploy customizable AI agents across multiple channels:

• Email engagement: Automated follow-up sequences with personalized messaging
• SMS/text communication: Real-time responses to prospect inquiries
• Website chat integration: Always-on qualification and appointment scheduling
• Voice AI capabilities: Natural language phone interactions and call routing

The platform's customization features allow rapid deployment across different asset classes, with companies typically reducing lead response times to under 90 seconds and increasing lead-to-deal conversion rates by 20% or more.

Market Impact and Competitive Positioning

Uniti AI's bold claim of doubling lead-to-customer conversion rates isn't just marketing hyperbole—it reflects the platform's sophisticated approach to lead nurturing and qualification. Unlike traditional CRM tools that require manual data entry and follow-up, Uniti's agents operate continuously, ensuring no lead falls through the cracks while maintaining personalized engagement at scale.

The strategic investor backing reinforces the platform's market position. Beyond traditional VCs, the round included industry executives like L.D. Salmanson (CEO at Cherre), Ray Iglesias (Chairman at Ubiquity Global Services), and Christophe Garnier (CEO at Upflex), as reported by Commercial Observer. This operator involvement suggests strong confidence in the platform's real-world effectiveness.

As CEO Francesco Decamilli notes, "The future operating model for real estate isn't just human-driven or AI-driven—it's both." This human-AI collaboration model positions Uniti as more than a technology vendor; it's an operational transformation partner.

Transformative Applications: From Lead Generation to Tenant Lifecycle Management

The true power of agentic AI platforms becomes evident when examining their applications across the entire CRE operational spectrum. Based on industry analysis from AI workflow automation research, key transformative applications include:

Sales Workflow Revolution

Lead engagement automation represents the most immediate impact area. Agentic platforms provide 24/7 qualification, scheduling, and follow-up workflows that dramatically reduce response times while maintaining personalized communication. This automation extends to:

• Automated property listing creation and distribution
• Personalized client recommendations based on behavior analysis
• Competitive market analysis generation and reporting
• Automated open house follow-up and scheduling

CRM evolution moves beyond passive databases to proactive, AI-driven relationship management. Modern platforms surface insights, trigger personalized outreach, and ensure systematic nurturing of every prospect in the pipeline.

Operational Excellence Through AI

Beyond sales automation, agentic platforms are transforming operational workflows:

• Tenant support transformation: Always-on assistance for maintenance requests, lease inquiries, and renewal automation
• Predictive maintenance: AI-powered platforms process IoT sensor data to preemptively detect issues and schedule repairs
• Compliance monitoring: Automated tracking and reporting for regulatory requirements
• Property management integration: Seamless connectivity with existing PMS systems for unified operations

The multi-modal communication capabilities enable seamless transitions between chat, text, email, and voice interactions, ensuring prospects and tenants can engage through their preferred channels while maintaining conversation continuity.

Implementation Best Practices: Strategic Deployment for Maximum ROI

Successful agentic AI implementation requires a strategic approach that goes beyond simply purchasing software. Based on research synthesis from industry implementations, key best practices include:

Data foundation requirements form the cornerstone of effective AI deployment. Organizations must ensure clean, structured data across property details, tenant history, and market dynamics. This often requires addressing legacy system integration challenges early in the process.

Integration strategy should prioritize native connectivity with existing property management systems, CRM platforms, and communication tools. As Adventures in CRE notes, successful platforms integrate with popular systems like Yardi, MRI, and ARGUS for seamless workflow automation.

Change management becomes critical for user adoption. Teams need upskilling in AI literacy, business process redesign, and data governance. The most successful implementations involve interdisciplinary collaboration between business analysts, data scientists, real estate experts, and end-users.

Platform selection criteria should emphasize customization capabilities, scalability, and compliance features. LLM-native platforms like Uniti AI offer channel-agnostic automation that can be tailored to specific asset classes and operational workflows.

Phased deployment approaches reduce risk and enable learning. Starting with pilot programs allows organizations to validate effectiveness, refine processes, and build internal expertise before scaling across the entire operation.

Compliance and ethics considerations require explainable AI frameworks, bias mitigation strategies, and regulatory adherence—particularly important for tenant screening, lease qualification, and fair housing compliance.

Quantified Business Impact: ROI Metrics and Performance Improvements

The business case for agentic AI platforms is supported by compelling performance data across multiple metrics:

Conversion rate improvements: Platforms like Uniti AI report up to 2x increases in lead-to-customer conversion rates, driven by faster response times and systematic follow-up processes.

Operational cost reduction: Research indicates 18-30% decreases in manual overhead as AI agents handle routine qualification, scheduling, and communication tasks.

Response time optimization: Lead response times drop to under 90 seconds with always-on AI engagement, compared to hours or days with traditional manual processes.

Revenue enhancement: Dynamic pricing capabilities enabled by AI analytics can deliver up to 8% annual improvement in rental yields through market-responsive rate optimization.

Portfolio performance: Organizations implementing comprehensive AI solutions report +2.7% returns with -1.5% volatility reduction compared to traditional management approaches.

Operational efficiency: Time-to-decision metrics show 50% reductions in client response times and decision cycles, enabling faster lease executions and improved tenant satisfaction.

These metrics reflect data from academic research synthesis and real-world implementations, demonstrating that agentic AI delivers measurable business value beyond theoretical benefits.

The Future of CRE: Embracing Human-AI Collaboration for Competitive Advantage

The trajectory for commercial real estate is clear: rapid adoption of agentic AI platforms through 2025-2026 will create significant competitive differentiation between early adopters and laggards. Organizations that master these tools will set new standards for engagement speed, conversion rates, and operational efficiency.

The evolution of human roles represents perhaps the most significant long-term impact. Rather than replacing real estate professionals, agentic AI enables them to focus on high-value activities like relationship building, complex negotiations, and strategic decision-making while AI handles routine tasks and data processing.

Technology convergence accelerates this transformation. The integration of IoT sensors, predictive analytics, and agentic AI platforms creates comprehensive operational intelligence that was previously impossible to achieve. Property managers can now anticipate maintenance needs, optimize energy usage, and enhance tenant experiences through data-driven insights delivered by AI agents.

Market leaders like Uniti AI are already expanding beyond sales automation into comprehensive property management integration, tenant support, and collections automation. This evolution suggests that agentic platforms will become the operational backbone for next-generation CRE organizations.

Ready to Transform Your CRE Operations with AI?

The commercial real estate industry stands at an inflection point. Agentic AI platforms like Uniti AI have proven their ability to deliver measurable improvements in lead conversion, operational efficiency, and tenant satisfaction. Organizations that act quickly to implement these technologies will gain sustainable competitive advantages in an increasingly dynamic market.

Caiyman.ai specializes in helping commercial real estate firms navigate AI transformation with strategic guidance tailored to your specific operational needs and technology stack. Our experts can assess your current systems, identify implementation opportunities, and develop deployment roadmaps that maximize ROI while minimizing disruption.

Contact us today for a free consultation to explore how agentic AI can transform your CRE operations and position your organization for the future of commercial real estate.

Sources

• Uniti AI Secures $4M Seed Round to Build AI Sales Agents for Global Commercial Real Estate Operators - PR Newswire
• Real Estate Sales Platform Uniti AI Exits Stealth With $4M Seed Round - Commercial Observer
• Agentic AI for Real Estate: What It Is and the Top AI Agents - Ascendix
• AI Tools for Commercial Real Estate (Fall 2025 Edition) - Adventures in CRE
• 9 Best AI Tools Shaping Commercial Real Estate in 2025 - Rentana
• Real Estate Agents Thrive With Agentic AI: 7 Powerful Workflows - WP AI Workflow Automation
• Uniti AI Platform Overview - Uniti AI