How to Evaluate AI Readiness in Your PE Firm: A Practical Checklist
The industry is increasingly exploring the potential of AI in private equity.
The industry is increasingly exploring the potential of AI in private equity.
AI is increasingly being used across workflows, but scaling successfully requires a strong foundation for AI governance in private equity firms that ensures trust, accountability, and control.
Artificial intelligence is rapidly embedding across private equity, accelerating workflows from deal screening to investor reporting.
Private equity firms are rethinking how finance functions operate, as traditional workflows struggle to scale under growing reporting complexity and data demands.
The role of fund finance in private equity is expanding beyond traditional accounting and reporting responsibilities.
The role of fund finance in private equity is expanding beyond traditional accounting and reporting responsibilities.
In private equity, CFO priorities are evolving. In 2026, leadership needs to focus on five key priorities: achieving real-time financial visibility, managing the increasing complexity of reporting, driving efficiency across fund finance operations, building a strong data foundation for decision-making, and preparing for AI and automation in finance.
Finance teams in private equity firms are under increasing pressure to deliver faster NAV cycles with real-time portfolio visibility to support LP-ready reporting.
Private equity firms face challenges in managing data due to fragmented systems, inconsistent data definitions, and inefficient workflows.
Tracking data from portfolio companies after acquisition is essential for creating value.