CFO Executive Roundtable
Miami
Finance leaders from private equity-backed companies, international businesses, real estate, and financial services came together to examine AI adoption in a market defined by rapid growth, cross-border complexity, and a new generation of ambitious CFOs.
- Location: Miami, FL
- Format: In-person executive roundtable with facilitated discussion on AI in multi-currency close, PE portfolio reporting, cross-border consolidation, and real estate financial operations
- Audience: CFOs, VP Finance, Controllers, and FP&A Leaders from PE-backed companies, real estate firms, financial services, and international businesses operating across Latin America and the US
- Hosted by: ChatFin
- Context: Miami's finance market has transformed in the past three years. Headquarters relocations, PE capital concentration, and international business complexity have created a CFO community with urgent and specific AI needs.
Miami's finance market is not the same market it was three years ago. The relocation of major financial services firms, private equity fund offices, and corporate headquarters to South Florida has concentrated a new level of finance leadership sophistication in a city that was historically underrepresented in enterprise CFO conversations.
The CFOs now operating out of Miami are running companies with Latin American operations, cross-border treasury functions, multi-currency consolidations, and PE sponsor reporting requirements that rival what you find in New York or Chicago.
The roundtable reflected that reality. The conversations were not introductory. They were specific, operational, and focused on the workflows where AI is producing results right now in companies with the complexity profile that defines this market.
Miami CFOs are not lagging on AI adoption. They are running some of the most complex multi-currency, multi-entity consolidation environments in the country, and they are moving fast.
PE Sponsor Reporting: The Forcing Function for Miami Finance AI
The most consistent theme in Miami was the role of private equity sponsors in accelerating AI adoption. LP reporting deadlines, portfolio company standardization requirements, and PE fund reporting cadences are creating a close timeline pressure in Miami that rivals what public company CFOs face elsewhere.
PE-backed CFOs in the room described receiving reporting templates from their sponsors that required data cut from a close process that their current systems could not support on the required timeline. The options were hire more people or automate the process.
The teams that had automated described a third outcome that neither option alone produces: not just faster reporting, but more consistent reporting. AI agents producing standardized output across every entity on every reporting cycle, with variance commentary drafted in the same format every time.
Sponsors noticed. Multiple CFOs described their PE partners commenting on the improvement in reporting quality before commenting on the improvement in speed.
Our sponsor asked for 10-day reporting when they acquired us. We were at 18 days. We deployed AI for intercompany elimination and currency translation in quarter one. We hit day 8 in quarter two. They asked what changed. We showed them the automation log.
CFO, PE-Backed Consumer Company · Miami Roundtable 2026
Five Themes That Defined the Miami Conversation
Why High-Growth Companies Get the Fastest AI ROI
Finance AI ROI scales with transaction volume. Companies growing 40% or more annually are adding transaction volume faster than their finance teams can process manually. AI agents that handle invoice matching, bank reconciliation, and close workflows at the same speed regardless of volume produce compounding returns in high-growth environments.
The CFOs in Miami getting the highest ROI from AI are not the ones running the most sophisticated finance functions. They are the ones whose transaction volume has outpaced their current team capacity and who deployed AI to close that gap rather than hiring into it.
The Miami Pattern: Growth Creates Urgency, Urgency Creates Speed
The common thread across the Miami companies that had moved fastest on AI adoption was urgency born from growth rather than planning born from strategy.
When a company doubles its transaction volume in twelve months and the finance team stays the same size, the close either breaks or something changes. The Miami CFOs in the room who had deployed AI most successfully had done it because the alternative was a close that was no longer functioning at an acceptable level.
That urgency produced fast, focused deployments. One workflow at a time, starting with the one that was most broken. AP invoice matching. Bank reconciliation. Intercompany elimination. Each step expanding the automation footprint and building confidence for the next.
Miami's finance market is growing faster than any comparable city in the country. The combination of corporate relocations, PE capital concentration, and Latin American business complexity has created a CFO community with sophisticated finance challenges and an urgent need for tools that can handle them.
The companies represented at the Miami roundtable are not small. They are operating at enterprise scale, running multi-entity structures across multiple currencies, and reporting to PE sponsors and institutional investors with demanding timelines.
Miami is not an emerging market for finance AI. It is a market that has been underserved by vendors who focused on the coasts and the Midwest. The demand is real, the complexity is high, and the CFOs are ready to move.
Who Was in the Room
The Miami roundtable brought together senior finance leaders from PE-backed companies, real estate operators, financial services firms, and international businesses with Latin American operations.
The group included companies spanning consumer, technology, real estate, professional services, and financial services, with most running operations in two or more countries.
How ChatFin Fits the Miami Finance Environment
The Miami roundtable tested ChatFin specifically on multi-currency consolidation, intercompany elimination across Latin American subsidiary structures, and PE reporting package generation.
ChatFin's ERP integrations cover the systems most common in Miami's corporate finance environment: NetSuite, Dynamics 365, SAP Business One, Acumatica, Sage Intacct, and JD Edwards. For companies running multi-entity structures with currency translation requirements, the platform applies exchange rates, runs translation, and flags FX differences for review within the close workflow rather than as a separate manual step.
Continuing the Conversation
Several Miami roundtable attendees followed up to request working sessions focused on their specific multi-currency structure and PE reporting requirements.
If you lead finance at a Miami-area company with cross-border operations, PE sponsor reporting obligations, or multi-entity consolidation complexity, the ChatFin team is available for a direct technical session.
Thirty minutes against your actual data and your actual entity structure. No fictional company demos.