Operational Intelligence at Scale: How Ballast Is Using AI to Manage—and Own—What Others Can’t

News| July 31, 2025| Connect CRE

In a real estate market defined by operational complexity, outdated systems, and growing performance pressure, San Francisco–based Ballast is taking a different path. The firm isn’t just managing multifamily and scattered-site portfolios—it’s owning them. And to do it at scale, Ballast has partnered with Palantir to build one of the industry’s most advanced AI-integrated operations platforms.

That platform is already being put to the test. Ballast recently partnered with Brookfield to take over the management of a 75-building, 2,100+ unit scattered-site residential portfolio across the Bay Area—one of the largest and most complex assignments of its kind. The firm also won the property management contract for San Francisco’s iconic Parkmerced community. Both are now serving as high-profile proving grounds for Ballast’s belief that operational intelligence—not just AI automation—is the future of real estate performance.

In this Q&A, Co-Founder and CEO Gregory MacDonald shares how Ballast is redefining residential operations through AI, ownership alignment, and a platform built to manage complexity at scale.

Q: Where did Ballast start with AI across operations—and where is it now?

A: We started where most real estate operators hit friction: too many systems, not enough connectivity. Because we’re not just a property manager—we’re an owner—we needed a platform that could drive performance not just track tasks. Instead of bolting on another dashboard, we partnered with Palantir to build real integration. Our Asset360 platform connects everything from leasing to maintenance to compliance, giving our teams real-time insight and decision support across the portfolio. Today, we’re not just using AI—we’re operationalizing it.

Q: Let’s talk about the Brookfield scattered-site portfolio. From an operational perspective, what were the biggest challenges when Ballast stepped in?

A: Managing thousands of units across scattered buildings is never simple—especially when those assets come with legacy issues and fragmented systems. The biggest challenge was unifying all of that under one standard of performance. Because we approach everything from an ownership mindset, we focused on creating structure and visibility quickly. How do you deploy consistent service across 2,100+ units while still tailoring to local needs? That’s where our platform—and our playbook—really delivered.

Q: Ballast has had experience managing scattered-site properties in its own portfolio. How has the company scaled up its expertise into managing the Brookfield portfolio, especially in terms of AI solutions?

A: We’ve built our operating model around scattered-site portfolios from day one, so we had the experience. What we needed was a way to scale it—quickly, and without losing control. That’s where the AI piece came in. We used our Asset360 platform to triage service tickets automatically, flag duplicate vendor invoices, and route tasks based on urgency and geography. That let our teams focus on outcomes, not coordination.

We also used machine learning to analyze asset performance patterns across the portfolio—what was working, where costs were climbing, and how to prioritize resident requests or capital improvements. So it wasn’t just about scaling headcount. It was about scaling intelligence.

Q: What’s the core value proposition Ballast brings to the market today?

A: We’re not just a third-party manager trying to check boxes. We’re owners who had to build a better system—because we needed better outcomes. That shaped everything we do. We built a platform that could manage operational complexity, reduce legal and financial risk, and scale performance across hundreds of buildings. And we did it without losing the local execution that’s so critical to the resident experience. That’s what sets Ballast apart: institutional systems, owner-level alignment, and real accountability.

Q: What’s been the biggest learning from the Brookfield portfolio so far?

A: You can’t separate tech from people. AI doesn’t work if your team doesn’t trust it—or know how to use it. We learned early that adoption and alignment matter just as much as the platform itself. We also saw firsthand how AI can be a tool for risk reduction. We’ve used it to catch vendor overbilling before checks go out, detect utility inefficiencies, and track compliance automatically. That kind of real-time intelligence protects value—and builds trust.

Q: What’s next for AI at Ballast? Where do you want to take it?

A: The future isn’t about automating more—it’s about anticipating more. We’re investing in predictive capital planning, resident request modeling, and real-time benchmarking that helps us move from reacting to forecasting. Because we’re owners, not just managers, we care about lifecycle value. Every insight that improves asset performance or reduces turnover compounds across the portfolio. That’s where AI can really differentiate an operator.

Q: What’s your outlook for property operations in San Francisco?

A: San Francisco is a challenging market—but it’s also a testbed for smarter solutions. The demand for transparency, efficiency, and trust is higher than ever. We see that as an opportunity. Our approach in San Francisco—and everywhere we operate—is to lead with data, structure, and accountability. We believe operational excellence isn’t just good business; it’s good stewardship. That’s the mindset we’re bringing to every portfolio we touch.