Cardinal MF LLC (Cardinal) is a multifamily real estate development company focused on high-growth Texas markets. Managing partners Bryan Brown and Steve Sanders founded the company to pursue multifamily development and value-add opportunities in submarkets where they already hold deep relationships and a development track record. Their experience spans across multifamily, residential, mixed-use, retail, and office development, along with high-level finance and organizational leadership.
Cardinal employs a long-term strategy to investing. Rather than using a promote model that requires reinvestment decisions every two to four years, the company focuses on generating risk-adjusted returns over time. Today, Cardinal oversees nine properties, while third-party management companies handle day-to-day operations at each location.
As opportunities expanded, Cardinal fought to keep up with demand due to time-consuming manual processes. They needed to modernize quickly and, after evaluating proposals from other accounting and consulting firms, Cardinal turned to a partner they knew and trusted.
Aprio was already Cardinal’s accounting advisor, and the firm’s partnership with Anthropic, the artificial intelligence (AI) company behind Claude, one of the leading AI platforms for analyzing information and accelerating complex business decision-making, provided Cardinal with an advisor that had a deep understanding of its company and hands-on experience implementing leading AI technology.
The Challenge
Cardinal runs lean by design. Without a large underwriting team or back-office reporting function, the two partners and a small team oversee both deal evaluation and monthly financial review. As the portfolio grew, the manual processes supporting that work became increasingly difficult to sustain.
Every month, each of the nine properties produces a package of financial data: income statement, balance sheet, general ledger, trial balance, rent roll, and other statements. Reviewing this data for a single property meant working line-by-line through the general ledger, flagging variances above threshold, tracing each one back to an actual check, and assembling a set of questions for the property management team. The work ran roughly three hours per property. Across nine properties, nearly a full week each month was devoted to gathering, validating, and reconciling information before Cardinal’s team could focus on the analysis and investment decisions that create value.
Two further challenges compounded the problem. Data quality across the multifamily industry had grown less reliable, which raised the stakes on any analysis built from outside sources. At the same time, the third-party management companies at Cardinal’s properties were moving cautiously on automation of their own, mindful of fair housing obligations and disclosure requirements. Any approach would need to earn their confidence rather than work around it.
The Solution
Aprio began with a structured onboarding engagement designed specifically for first-time Claude adopters, Aprio put a multifamily operating analysis AI solution on Claude, building enabling a manual review cycle into an assisted one, helping Cardinal move quickly from exploration to practical application:
- Workflow review: Aprio started by mapping where AI genuinely fit into Cardinal’s existing processes, rather than leading with the tool. Property financial review surfaced as the clearest entry points.
- Environment setup: Aprio configured Cardinal’s Claude Code environment and integrated it with the company’s core systems, with careful attention to the governance, security and handling of proprietary financial data. The implementation included connectivity to QuickBooks, Microsoft Teams, and Microsoft 365 through MCP connectors; the development of custom Claude skills, agentic workflows, and internal automation capabilities; and ongoing user enablement and support for both Claude to drive adoption and effective day-to-day use.
- Hands-on enablement: Aprio partnered closely with Cardinal’s team throughout the rollout, helping users develop prompts, optimize workflows, and evaluate results. Beyond the technology itself, the focus was on building confidence in how and when to use AI, identifying where human intelligence was still required, and turning raw output into informed business decisions. The initial implementation was completed in roughly two weeks.
- Human oversight and review discipline: A core principle of the implementation was that AI would enhance, not replace, human intelligence. Aprio worked with Cardinal to build disciplined review practices that kept experienced professionals at the center of the process. Users learned when to trust the analysis, when to investigate further, and how to combine AI-generated insights with their own judgment to reach sound business conclusions.
As years of institutional knowledge become embedded in the workflow, the resulting analysis becomes more consistent, relevant, and immediately actionable.
“What stood out about Aprio was that they approached this as a partner, not a software provider. They understood the realities of a small team, tailored the implementation around our most pressing challenges, and worked alongside us from setup through adoption. That hands-on guidance gave us confidence in both the technology and the process.”
Bryan Brown, Managing Partner, Cardinal MF LLC
The Results
What began as an effort to reduce the burden of manual financial review quickly evolved into a new way of operating. Cardinal can now generate a tailored 10-page report in about a minute and a half by uploading a property’s income statement, general ledger, trial balance, and rent roll. A brief human review and refinement transform the output into a targeted set of insights and questions for the property management team.
By embedding AI into its portfolio management operations, Cardinal transformed how work gets done, shifting time and attention away from manual research and toward the strategic thinking, problem-solving, and decision-making that drive investment performance.
- More time for strategic decision-making: The most significant impact has been where the team spends its time. Monthly property analysis that once took hours per property now takes a few minutes. Across nine properties, Cardinal recovers close to a week (approximately 27 hours) of time every month just on financial review time. Work that once required hours of assembling and reconciling information is now focused on evaluating opportunities, solving problems, and making decisions.
- Productivity and efficiency gains across the organization: Cardinal estimates that productivity has improved 50% since introducing AI, with applications now embedded throughout much of the company’s daily workflows.
- Insights that might otherwise have remained hidden: In one acquisition review, the analysis identified that 27% of a target property’s units were leased to corporate tenants. Cardinal’s team believes uncovering that level of tenant concentration through a manual review would require hours of time and effort, if it was identified at all.
- More time focused on resolution: Variances now arrive already identified and largely explained, allowing property management teams to spend less time searching through statements and more time addressing the issues that matter.
With AI handling the initial analysis, the company can move faster, assess more opportunities, uncover deeper insights, increase their revenue, and focus its attention where it matters most. The result is not just greater efficiency but also a stronger ability to make informed decisions without adding headcount.