Real Estate Development Partnerships

The market has voiced concerns about AI's potential to disrupt our industry. I believe they are underestimating the opportunity. Our research tells a clear story. AI is intensifying the need for physical space and expert guidance. As organizations restructure around smaller, faster teams and invest heavily in spaces designed for human-AI collaboration, the demand for sophisticated real estate advice has never been higher. Three shifts stand out. 1️⃣ Location decisions are now being shaped by power availability and AI infrastructure, not just talent and cost. 2️⃣ Business cycles in AI-intensive sectors have compressed. Organizations that once signed long-term leases on five-year assumptions are now paying a premium for greater flexibility, seeking shorter initial terms, and built-in expansion options. 3️⃣ The workplace itself is being redesigned from the ground up, with dedicated zones for deep human-AI work, collaborative intelligence, and external partnership. JLL's early and sustained investment in technology and data positions us to see around corners for our clients at exactly the moment those insights matter most. AI is accelerating our productivity, enhancing our margin profile, and enabling us to deliver superior intelligence at scale.

PropTech as a Pillar of National Transformation The global conversation around PropTech has traditionally focused on investment. Early tools helped people view more listings, access more data and participate in markets once limited to a few. But our direction under Vision 2030 is more ambitious. PropTech is no longer just a digital layer on top of real estate. It is becoming a foundational pillar of how the housing system itself operates, driving economic opportunity, homeownership and global competitiveness. Under Vision 2030, I see the  transformation span five national pillars: • Financing & Settlement - faster, safer flow of capital supporting families and developers • Smart Investment - deeper insight and transparency powered by real-time analytics • Delivery & Speed - reducing friction from approvals to handover • Citizen Experience - accessible, inclusive housing journeys enabled by digital platforms • Sustainability & Resilience - future-ready construction and asset management And there is a new force accelerating all five: The convergence of AI and real world asset tokenization. AI enhances decision making, planning and service delivery. Tokenization turns real estate into efficient financial infrastructure, increasing liquidity, enabling new ownership models and making investment flows more productive. Together, these technologies unlock economic outcomes that were not previously possible: • Homes delivered sooner • Capital deployed with greater confidence • Local markets strengthened by global participation via FDI • Citizens supported with better affordability and accessibility Saudi Arabia is not experimenting at the margins. We are shaping the future architecture of real estate, where innovation directly serves national priorities and citizens’ lives. As we move forward, one question guides our focus: Which PropTech pillars will create the greatest impact for families, not just investors? I look forward to the perspectives of leaders and innovators contributing to this vital transformation.

"We defaulted on our loan. The bank took the property. We lost everything." Every passive investor fears hearing this. Years ago, I came close to saying it myself. In one of my early deals, as an operator, the bank threatened takeover multiple times. Vacancy was rising. Cash flow was gone. We weren't sure investors would even get their principal back. We ultimately exited with capital protected and a small profit. But that only happened after removing a weak partner, and nearly losing the deal. Here's what went wrong: We bought a workforce housing asset. The plan: renovate and raise rents. The problem: we overestimated what local tenants could afford. Leasing stalled. The market didn't kill the deal. The partner did. Our "boots-on-the-ground" operator: ·      Hid key issues ·      Ignored red flags ·      Failed to execute ·      Withheld critical info The result? A total breakdown in trust, and operations. With legal help, we removed him, stabilized the asset, and sold. Had we waited longer, we would have lost everything. Lesson learned: You're not just investing in a property. You're investing in the people running it. If you want to reduce risk, ask better questions: ·      Who's really in control? ·      What happens if a partner fails? ·      Can they be removed quickly? I lived this. It changed how I evaluate every deal. What's a partnership lesson that changed your approach to investing?

Still choosing properties the old way? The market moved on yesterday. From Asia to the Americas, real estate is being redefined by algorithms, not anecdotes. Investment decision-making is no longer just about price trends and location. Factors like energy infrastructure, tenant demand, and building performance are being decoded in real time to hep RE investors—using AI, LiDAR, IoT, and predictive analytics. In one standout example, a city initiative in Calgary, Canada, used 3D building models and advanced data tools to help residents estimate solar potential on rooftops. The result? A dramatic rise in solar installations and a blueprint for how data can accelerate infrastructure adoption. But it’s not just residents driving this shift. Developers and investors are already using the same technologies to guide large-scale decisions—whether it’s optimising energy consumption, increasing occupancy, or identifying high-performing assets long before the market catches on. The new paradigm is here. Real estate is fast becoming a data-first industry. And now, generative AI (Gen AI) is sharpening the edge—from analysing lease documents at scale to visualising human-centric interiors optimised for light, movement, and acoustics. Imagine asking: - “Which 25 warehouse assets will outperform over the next decade?” - “Design tenant spaces based on actual behaviour patterns—and optimise for comfort, daylight, and energy use.” Gen AI doesn’t replace your investment instincts. It enhances them—by delivering faster insights, personalising tenant experience, unlocking new revenue streams, and shortening decision cycles. At CBRE, we’re equipping clients with cutting-edge data analytics platforms and AI tools that turn real-time information into real-world value. From portfolio benchmarking to dynamic planning and predictive modelling, our technologies are designed to help you lead, not follow. The tools are here. The use cases are proven. The competitive advantage? Still up for grabs. Are you using analytics to simply observe the market—or to outpace it? #RealEstate #PropTech #DataAnalytics #AI #GenAI #SmartInvestment #CBRE #Innovation #DigitalTransformation

Third-Party Risk: The Hidden Cybersecurity Battlefield in Modern Supply Chains In our interconnected digital ecosystem, your security posture is only as strong as your weakest vendor. Modern enterprises rely on 100s of third-party vendors, creating an exponentially expanding attack surface. Supply chain attacks have become the preferred vector for sophisticated threat actors. Instead of targeting well-defended enterprises directly, attackers exploit vulnerabilities in trusted vendors to simultaneously breach hundreds of downstream organizations. Game-Changing Examples SolarWinds (2020): Compromised software updates affected 18,000+ customers including Fortune 500 companies and government agencies, demonstrating how a single vendor breach cascades across entire sectors. MOVEit (2023): A single vulnerability led to data breaches affecting over 600 organizations globally, showcasing the massive scale of modern supply chain impacts. Why Third-Party Risk Monitoring is Critical Continuous Visibility: Traditional annual assessments are insufficient. Organizations need real-time monitoring of vendor security posture, breach notifications, and compliance status changes. Risk Amplification: When attackers target managed service providers or software vendors, the impact multiplies across all their clients. One compromised vendor can expose thousands of organizations simultaneously. Regulatory Liability: With GDPR, CCPA, and emerging supply chain regulations, organizations face increasing liability for third-party security failures. Proactive monitoring demonstrates due diligence. Building Effective Defense Continuous Assessment: Implement real-time vendor risk scoring across your entire ecosystem Zero Trust Extension: Apply least-privilege access controls to all third-party connections Incident Response Integration: Ensure your IR plans account for vendor breaches with clear communication protocols Contractual Protection: Update vendor agreements with security requirements and liability provisions The Bottom Line Organizations can no longer treat vendor risk as procurement afterthought. The question isn't whether your supply chain will be targeted — it's whether you'll detect and respond effectively when it happens. The strongest security programs extend beyond organizational boundaries to create defensible ecosystems, not just defensible enterprises. #ThirdPartyRisk #TRPM #SupplyChainAttack #CyberSecurity

Contract management can make or break your procurement process. But are you leveraging the right KPIs to ensure success? Here are 15 contract management KPIs you can use to improve your procurement contracts and streamline your processes: -Time to Contract Signature: Measure the time taken from initiation to signing. -Time Per Phase: Assess the duration spent in each process phase. -Costs Beyond Contract Value: Evaluate costs incurred over the agreed contract value. -Contract Compliance Rate: Ensure contract terms, conditions, and guidelines are adhered to. -Supplier Performance: Evaluate supplier deliverables against agreed terms (SLAs, KPIs, etc.). -Contract Accuracy: Measure the precision and correctness of contract content. -Stakeholder Satisfaction: Gauge satisfaction with the contract management process. -Risk Management Effectiveness: Assess the effectiveness of risk management strategies. -Contract Visibility: Ensure the accessibility and visibility of contracts within the organisation. -Process Efficiency: Evaluate the efficiency of your contract management processes. -Contract Utilisation Rate: Assess how well contracts are utilised versus their potential. -Vendor Compliance Rate: Measure the rate of vendor compliance with contract terms. These KPIs can transform your approach to contract management, making it more efficient, accurate, and compliant. 💡 Share your thoughts in the comments below 👇

A common partnership snafu is that companies want partnership success, but don’t provide the resources to get there. I heard of a case where a whole marketing team quit, the partnerships team was given no marketing support, and they didn't yet have an integration with product -- and yet, the CEO expected the partnership strategy to deliver instant revenue. Wild. But not uncommon. Partnerships can't thrive in a vacuum. They need cross-functional support—marketing, product integration, sales enablement—all aligned to succeed. Before you set revenue targets for your partnerships, ask yourself: Do we have the resources to support them? If the answer is no, you have to help your leadership teams to reconsider their expectations. To help create the cross-functional support needed for partnerships to thrive, here are four strategies: 1. Involve Cross-Functional Leaders from the Very Beginning Bring key leaders from marketing, sales, and product into the partnership planning phase. Early involvement gives them a sense of ownership and ensures they understand how partnerships align with their own goals. Strategy: Schedule a kick-off meeting with stakeholders from each relevant department. Create a shared roadmap that outlines how partnerships will impact each team and their specific contributions. 2. Tie Partnership Success to Department KPIs To gain buy-in, tie partnership goals directly to the KPIs of each department. Aligning partnership outcomes with what each team is measured on ensures they have skin in the game. Strategy: During planning sessions, ask each department head how partnerships can contribute to their targets. Build specific KPIs for each function into the overall partnership strategy. 3. Create a Resource Exchange Agreement Formalize the support needed from each department with a resource exchange agreement. This sets clear expectations on what each function will contribute—whether it's a dedicated product team member for integrations or marketing resources for co-branded campaigns. It turns vague promises into commitments. Strategy: Draft a simple document that outlines the roles, responsibilities, and deliverables each team will provide, then get sign-off from department heads and the executive team. 4. Demonstrate Early Wins for Buy-In Quick wins go a long way toward securing ongoing resources. Identify a small pilot project with an internal team that shows immediate impact. Whether it's a small co-marketing campaign or a limited integration, these early successes build momentum and demonstrate the value of supporting partnerships. Strategy: Select one or two partners to run a pilot with, focused on delivering measurable outcomes like leads generated or product adoption. Use this success story to demonstrate value to other departments and secure further commitment. Partnership success requires cross-functional alignment. Because partnerships don’t happen in a silo.

🚀 From a LinkedIn DM to Co-Founding a PropTech Startup It all started with a simple LinkedIn message. I was deep in PropSimplify, building AI-driven brokerage solutions, when I connected with Guelane Mansour—a former investment banker turned real estate entrepreneur. A three-hour video call later, and we realized we shared the same vision: 👉 The real estate industry wasn’t just lacking efficiency—it was starving for better data. 👉 Brokers and investors weren’t just struggling with transactions—they needed real-time insights, AI-driven intelligence, and a smarter way to navigate the UAE & Saudi markets. That’s how I became Co-Founder & COO of pX. 💡 At first, propX was a B2C play, but as we spoke with users and analyzed the market, we made a bold decision: 🔄 Pivot to B2B—turning PropX into an AI-powered real estate intelligence platform for international brokers & institutional investors. Now, we’re helping real estate professionals make smarter, faster investment decisions with real-time data, predictive analytics, and AI-driven insights. But we’re just getting started. 💬 If you’re a broker, investor, or industry leader navigating the UAE & Saudi markets, let’s connect. 📩 I’d love to hear your thoughts on PropTech, real estate data, and what’s missing in today’s market. 🔗 Read the full story 👇 #PropTech #RealEstateInnovation #AI #Brokers #InstitutionalInvesting #PropX #Entrepreneurship #DataDrivenDecisionMaking

Your AI project will succeed or fail before a single model is deployed. The critical decisions happen during vendor selection — especially in fintech where the consequences of poor implementation extend beyond wasted budgets to regulatory exposure and customer trust. Financial institutions have always excelled at vendor risk management. The difference with AI? The risks are less visible and the consequences more profound. After working on dozens of fintech AI implementations, I've identified four essential filters that determine success when internal AI capabilities are limited: 1️⃣ Integration Readiness For fintech specifically, look beyond the demo. Request documentation on how the vendor handles system integrations. The most advanced AI is worthless if it can't connect to your legacy infrastructure. 2️⃣ Interpretability and Governance Fit In financial services, "black box" AI is potentially non-compliant. Effective vendors should provide tiered explanations for different stakeholders, from technical teams to compliance officers to regulators. Ask for examples of model documentation specifically designed for financial service audits. 3️⃣ Capability Transfer Mechanics With 71% of companies reporting an AI skills gap, knowledge transfer becomes essential. Structure contracts with explicit "shadow-the-vendor" periods where your team works alongside implementation experts. The goal: independence without expertise gaps that create regulatory risks. 4️⃣ Road-Map Transparency and Exit Options Financial services move slower than technology. Ensure your vendor's development roadmap aligns with regulatory timelines and includes established processes for model updates that won't trigger new compliance reviews. Document clear exit rights that include data migration support. In regulated industries like fintech, vendor selection is your primary risk management strategy. The most successful implementations I've witnessed weren't led by AI experts, but by operational leaders who applied these filters systematically, documenting each requirement against specific regulatory and business needs. Successful AI implementation in regulated industries is fundamentally about process rigor before technical rigor. #fintech #ai #governance