**Operational Intelligence at Scale: How Ballast Is Using AI to Manage—and Own—What Others Can’t**
In a real estate market challenged by operational complexity, legacy systems, and increasing pressure for performance, San Francisco-based Ballast is carving out a new path. The firm is not only managing multifamily and scattered-site portfolios—it’s also owning them. To do this effectively at scale, Ballast has partnered with Palantir to create one of the most advanced AI-integrated operations platforms in the industry.
That platform has already been put into action. Ballast recently took over the management of a 75-building, 2,100+ unit scattered-site residential portfolio across the Bay Area in partnership with Brookfield—one of the largest and most complex undertakings of its kind. In addition, the company secured the property management contract for San Francisco’s iconic Parkmerced community. These high-profile projects are now serving as real-world testing grounds for Ballast’s belief that operational intelligence—not just automation—is the future of real estate performance.
In the following Q&A, Ballast Co-Founder and CEO Gregory MacDonald discusses how the company is redefining residential operations through AI-driven systems, an ownership-aligned mindset, and scalable platform innovation.
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**Q: Where did Ballast begin with AI across operations— and where is it today?**
**Gregory MacDonald:** We started where most real estate operators struggle: managing too many systems with too little connectivity. Since we’re also owners, not just managers, we needed a platform that could drive performance rather than simply track tasks. Instead of adding another dashboard, we partnered with Palantir to build real, integrated solutions. Our Asset360 platform connects leasing, maintenance, compliance, and more—giving our teams real-time insights and decision-making tools. We’re not just using AI—we’re operationalizing it.
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**Q: Managing the Brookfield portfolio must have brought unique challenges. What were the biggest operational hurdles when Ballast took over?**
**MacDonald:** Managing thousands of units spread across scattered sites is never straightforward—especially when you’re inheriting legacy issues and fragmented systems. The biggest challenge was unifying these diverse properties under one consistent performance standard. Because we think like owners, we focused on quickly establishing structure and transparency. How do you provide consistent service across over 2,100 units while still addressing local nuances? That’s where our platform and operational playbook really proved their value.
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**Q: Ballast has managed scattered-site properties before. How did you scale that experience to oversee the Brookfield portfolio, particularly using AI?**
**MacDonald:** We’ve been building our expertise around scattered-site assets since day one, so we had a strong foundation. What we needed was a way to scale operations without throwing more people at the problem. That’s where AI made a meaningful difference. With Asset360, we automated service ticket triage, flagged duplicate invoices, and routed tasks based on urgency and geography—freeing our teams to focus on outcomes.
We also applied machine learning to analyze asset performance, pinpoint cost drivers, and prioritize everything from resident requests to capital projects. It wasn’t about scaling headcount—it was about scaling intelligence.
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**Q: What is Ballast’s core value proposition in today’s market?**
**MacDonald:** We’re not just a third-party manager checking boxes—we’re owners who needed better outcomes and built a better system to achieve them. That shaped our entire approach. We developed a platform designed to handle complex operations, reduce legal and financial risks, and scale effectively across hundreds of assets. At the same time, we preserved local execution, which is vital to the resident experience. What sets Ballast apart is our combination of institutional systems, ownership-level alignment, and real accountability.
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**Q: What has the company learned from managing the Brookfield portfolio so far?**
**MacDonald:** You can’t separate technology from people. AI doesn’t function properly without trust and team adoption. We learned how critical alignment and onboarding really are. We also experienced how AI can actively reduce risk. For instance, we’ve used it to detect vendor overbilling before payments are issued, identify utility inefficiencies, and monitor compliance in real time. That kind of intelligence not only protects value—it builds trust, too.
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**Q: What’s next for AI at Ballast? Where is the innovation headed?**
**MacDonald:** The future isn’t just about doing more automatically—it’s about anticipating problems before they arise. We’re investing in predictive capital planning, modeling resident service requests, and real-time benchmarking to shift from reactive to proactive operations. As owners, we’re laser-focused on long-term asset value. Every insight that reduces turnover or boosts performance compounds across the portfolio. That’s where AI becomes a true differentiator.
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**Q: What’s your outlook on property operations in San Francisco?**
**MacDonald:** San Francisco is a tough market, but it’s also a proving ground for smarter, more transparent solutions. The demand for efficiency and trust is higher than ever. We see that challenge as an opportunity. Whether in San Francisco or elsewhere, our approach is rooted in data, structure, and accountability. To us, operational excellence isn’t just good business—it’s good stewardship. And that’s the philosophy we’re applying to every portfolio we operate.
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Ballast’s evolving commitment to AI and operational scalability underscores a larger trend in real estate: the shift from traditional management models to intelligent, integrated systems rooted in ownership-driven accountability. By leveraging technology with a human-centric approach, the company is setting a new standard for multifamily operations in complex urban environments.
