We’re just back from the With Intelligence Women’s Private Equity Summit in Arizona, where more than 1,400 women across private markets spent two days in the kind of frank, practitioner-level conversation that rarely makes it into published reports.
WPES has a way of surfacing what firms are actually grappling with, not just what they’re presenting to LPs. And this year, the operational themes were hard to ignore. The frustrations being voiced in both sessions and hallways track closely with what we hear in conversations with GPs, IR teams, and fund operators across the market. Five of them are worth unpacking.
1. Speed Is the New Competitive Variable in Fundraising
The firms that are closing faster are not necessarily running better strategies. They’re running tighter operations.
Across conversations at WPES and in our broader work with private capital firms, the consistent pressure point is the gap between relationship activity and execution. Meetings happen. Notes get taken. Then the follow-through slows down because moving information from an LP conversation into a structured record, a task, and an investor communication requires manual work at every step.
That friction compounds quickly. In a fundraising environment where LPs are receiving more outreach, evaluating more managers, and consolidating commitments, the speed at which a firm can respond, update, and advance a relationship is a real differentiator.
What firms need is not more effort, it’s automation of the repetitive handoffs: meeting to CRM system, CRM record to follow-up, follow-up to investor communication. The firms building that infrastructure now are shortening their cycles. The ones that haven’t are spending the same time on processes that their competitors are spending on relationships.
2. Most Firms Know What Good LP Communication Looks Like. Fewer Have Built It.
This is the operational challenge that has been acknowledged for years and solved by very few.
GPs know they need to communicate with LPs consistently. They know that transparency and responsiveness are core to re-up decisions. They also know that when multiple people on a team interact with the same LP across different contexts, and none of it is centrally tracked, the quality of that communication degrades fast.
What gets surfaced at events like WPES is not a new problem. It’s the same problem, stated with more urgency. Firms need a complete, accessible view of every LP interaction across the team. They need communication workflows that create structure without creating friction. And they need visibility into where relationships are strong, where they’ve gone quiet, and what needs attention before it becomes a problem.
The firms that have operationalized this are not doing anything heroic. They’re using better systems and more disciplined processes. The gap between them and the firms still managing LP communication in spreadsheets and inboxes is widening.
3. Data Is the Prerequisite. AI Is the Benefit.
AI came up constantly at WPES, and the conversation has matured considerably from where it was a year ago. Nobody is talking about replacing human relationships with automation. The focus is on what AI can do when it’s embedded directly into fundraising and IR workflows: capturing data, surfacing patterns, flagging follow-ups, generating insights from relationship history.
But there was a consistent thread of honesty running through those conversations. AI only works well on good data. Firms that haven’t solved their data capture problem – meeting notes that never make it into a system, interaction history that lives in individual email threads – are not going to get meaningful value from AI tools layered on top of that foundation.
The sequencing matters: data ingestion first, data quality second, AI-powered insights third. Firms that try to skip to the third step are going to be disappointed. Firms that treat data infrastructure as a prerequisite are positioning themselves to extract real value from the AI investments they’re already making.
This is not theoretical. The use cases that are gaining traction right now are narrow and practical: auto-generating account record entries from meeting notes, identifying LPs who are overdue for outreach, combining fund administration data with relationship data to produce more meaningful LP reporting. None of it is complicated. All of it requires clean, connected data to work.
4. AI Adoption Is Still Experimental, and That Window Is Closing
The honest read on AI in private markets right now: most firms are in the experimentation phase. Pilots are running. Use cases are being tested. Measurable impact is still limited.
That is not a criticism. It reflects where the industry genuinely is. But the firms that treat experimentation as a permanent state are going to fall behind the ones that are building toward adoption at scale.
What separates those two paths is change management. Technology does not change behavior on its own. If an AI tool requires a new workflow and nobody is accountable for driving adoption of that workflow, the tool will be used by the three people who were already interested and ignored by everyone else.
The firms making real progress on AI are treating adoption as an operational problem, not a technology problem. They are defining what behavior change looks like, measuring it, and holding teams accountable for it.
5. Raises Are Continuous. Most Operations Aren’t Built That Way.
The session that resonated most at WPES reinforced something that shows up in our own data and client conversations: the strongest fundraising firms are not raising episodically. They are managing LP relationships with the same discipline between closes as they apply during an active raise.
LPs said it plainly. They want proactive engagement, not just inbound responses when a fund is in market. They want to know what is happening in the portfolio, what has changed in the team or strategy, and that their GP is thinking about them specifically, not sending the same update to a distribution list of 200.
The operational implication is significant. Building and maintaining that kind of continuous relationship management requires infrastructure. It requires a system that tracks every interaction, surfaces the right follow-ups, and enables a small IR team to sustain meaningful engagement across a large LP base without losing quality.
That is what purpose-built private capital platforms are designed to do. And it is what general-purpose CRMs adapted for private markets consistently fail to deliver.
The Pattern Across All Five
Look at the five themes above and a single thread runs through all of them: the work is operational. Speeding up the fundraising cycle, maintaining consistent LP communication, building a data foundation that makes AI useful, driving adoption rather than just deployment, sustaining relationship engagement between closes – none of it happens without operational infrastructure behind it.
That shift is creating a new kind of competitive differentiation in private markets. Firms with disciplined IR operations are responding to LPs faster, communicating more consistently, and entering each raise better prepared. The advantage compounds because the infrastructure carries forward across funds.
Altvia is built for exactly this layer of the business. Connecting fundraising workflows, LP communication, analytics, and reporting into a single platform gives IR teams the visibility and workflow structure to operate with that kind of consistency, not just during a raise, but every day leading up to it.
