Industry Insights

May 23, 2025
Read Time: 10 minutes
Key Takeaways
Private markets reached $25 trillion in 2023, heading to $59 trillion by 2033
Manual processes cost firms hundreds of thousands annually in labor alone
Purpose-built AI delivers 30x faster insights and can perform 300+ validation checks in seconds
Leading firms achieve ROI within 30 days of implementation of domain-specific AI for alternative investment automation
38% of HNW and 53% of UHNW individuals want more private asset allocation
Security and compliance are solved with SOC 2 Type II platforms
Zero-template setup means deployment in days, not months
Alternative investments have grown to $25 trillion in 2023, on track to exceed $59 trillion by 2033 (Bain, 2024). Yet most firms managing this massive wealth still rely on PDFs, spreadsheets, and manual processes that haven't evolved in decades.
Digitizing Private Markets
A recent Bain & Co report aptly titled Private Asset Investing Desperately Needs New Market Infrastructure explains that "unlike in public markets, private markets have only limited electronic infrastructure or standards to support transactions, collateralization, administration, registry, and reporting at any scale."
Think about your last quarterly portfolio report. How many hours did your team spend manually copying and dissecting data from PDFs? If the answer is "too many" - you're not alone. For a complex portfolio of alternative funds and direct positions, even sophisticated allocators regularly report devoting days or weeks to get through the quarter-end crunch, regularly spending upwards of an hour to fully understand and integrate data from a single document. Compounded over hundreds of documents across hundreds of positions, many weeks are lost each quarter to manual data entry — time that should be spent on investment decisions, not administrative tasks.
What's Really At Stake for Wealth Management and RIA Firms?
The numbers tell the story. The same Bain & Co report found that 38% of high-net-worth individuals and 53% of very-high-net-worth individuals want to increase their allocation to private assets. The retail AUM share will rise from 16% in 2022 to 22% by 2032.
But there's a catch: "The current system was designed for large institutional investments with bespoke and manual processes... the lack of a digital, streamlined industrial model makes broad distribution to individuals almost impossible."
Enter Purpose-Built AI for Private Market Knowledge Work
Generic AI tools or legacy automation solutions are akin to using Google Translate for legal contracts — they can work in theory, but are dangerously inadequate for tackling the messiness and complexity of real world private market data.
Purpose-built AI for private markets speaks the language of alternatives. It knows a capital call or distribution isn't just a PDF — it's a complex transaction record with nested transactions, recallable distributions, and entity relationships that generic tools miss entirely.
altHQ has built domain-specific AI that doesn't just read documents — it understands them. With 150+ dynamic extraction models deployed in production, altHQ is the most advanced document intelligence platform you'll never have to build or maintain in-house. altHQ handles everything from LP capital account statements to complex cash flow transactions — all without templates or complicated manual configuration.
What Specific Problems Can AI Solve Today?
High-Volume Document Processing and Automated Data Extraction
Every day brings a flood of new documents: capital calls, distribution notices, quarterly reports, K-1s, LPAs, PCAPs, and investor letters. Critical data is trapped in unstructured formats, leaving advisors flying blind.
altHQ's Analyze extracts structured data instantly, with automated reporting period detection and adaptive intelligence for complex capital events. Analyze closes the loop entirely, no babysitting required.
The Reporting Time Sink
AI-powered workflows compress weeks of analysis into minutes. With 300+ built-in validation checks through altHQ's Sentry — a 24/7 data integrity monitoring system, you get institutional-grade accuracy without the institutional overhead. Generate client-ready tearsheets with IRR, TVPI, DPI, and NAV at the push of a button.
The Liquidity Management Challenge
Missing a capital call is like missing a flight—expensive and embarrassing. But tracking liquidity across dozens of funds manually? That's a recipe for disaster.
AI provides real-time visibility into your liquidity position. altHQ's platform helps achieve 100% on-time funding for investment operations teams by automating capital call tracking and distribution reconciliation. No more scrambling. No more surprises.
The Investment Research Bottleneck
Evaluating investments shouldn't feel like archaeological excavation. Yet teams spend weeks digging through documents for basic information.
AI accelerates due diligence dramatically. One institutional investor using altHQ saved $12.5K per deal in fee savings through faster transaction processing, getting smart on deal terms in minutes and empowering them to ask more nuanced questions of legal counsel — leading to better decisions built on a bedrock of clarity delivered in real-time.
What Does Implementation Actually Look Like?
The shift to AI-powered operations happens faster than most expect. This isn't a months-long enterprise deployment—it's a rapid transformation that delivers value from day one.
Day 1: Immediate Intelligence
Upload historical documents. Connect existing data sources. The AI begins processing immediately, no templates or complex configuration required. By end of day, you're seeing extracted data from documents that would have taken hours to process manually.
Week 1: Validation and Confidence
Run the AI alongside existing processes. Compare outputs. Watch as the platform catches discrepancies your current process missed. The bidirectional provenance in altHQ's Vault means every data point traces back to its source document—trust through transparency.
Month 1: Full Transformation
Manual processes shift from primary to backup. Your team redirects hours from data entry to strategic analysis. Reports that took days now take minutes. Questions that required research have instant answers. This isn't just efficiency—it's a fundamental elevation of capability.
Security Without Compromise
In private markets, security isn't a feature—it's foundational. Leading AI platforms understand this implicitly. SOC 2 Type II compliance, end-to-end encryption, and complete data isolation aren't negotiable—they're table stakes.
But true security goes beyond certifications. altHQ's commitment is absolute: "Your data is yours and never used for AI model training." No learning from your sensitive information. No lock-in tactics. No data hostage situations. Complete ownership, complete portability, complete control.
This approach recognizes a fundamental truth—trust is earned through transparency and maintained through integrity. In an industry built on relationships and reputation, anything less is unacceptable.
The Future Is Already Here
The transformation of private markets isn't coming—it's happening now. McKinsey's latest 2025 private markets report confirms that LPs plan to increase, not decrease, their private market allocations. Bain projects assets reaching $60 trillion by 2033. This growth demands infrastructure that doesn't yet exist at scale.
The immediate opportunity is clear. Firms implementing AI today capture advantages that compound over time — more efficient operations enable larger portfolios, better service attracts more clients, faster insights drive better returns. The virtuous cycle accelerates.
Within five years, the question won't be whether to use AI for private markets, but how firms ever operated without it. The manual processes that define today's operations will seem as antiquated as paper trade tickets. The winners will be those who moved first and moved decisively.
From Vision to Reality
The path forward requires neither faith nor patience — just recognition of what's already possible. Every day of delay means:
Another day of talented professionals trapped in manual data entry
Another day of decisions made with incomplete information
Another day of opportunities lost to operational friction
Start with your most acute pain point. Document processing backlog? Reporting consolidation? Accounting reconciliation? Modern AI platforms deliver immediate relief while building toward comprehensive transformation.
The choice isn't between perfection and progress — it's between action and obsolescence. While competitors evaluate options, leaders are already implementing. While others plan for change, the ambitious are already transformed.
FAQ
Q: How does domain-specific AI handle complex private market documents?
A: Purpose-built AI understands the intricate structure of private market documents—nested transactions in capital calls, recallable portions of distributions, complex entity relationships across fund structures. The platform maintains programmatic double-entry ledgers for every fund, ensuring 100% reconciliation accuracy at scale. This isn't OCR with rules — it's true document intelligence.
Q: What ROI can firms realistically expect?
A: Real client outcomes speak louder than projections. A $2B family office eliminated $4.8M in annual costs. An investment advisor can reclaim 4,200 hours yearly — over two full-time employees. Most firms achieve positive ROI within 60 days, with benefits compounding as usage scales.
Q: How secure is sensitive investment data?
A: Very secure, if the data is managed on architecture that meets the highest institutional standards — SOC 2 Type II compliance, end-to-end encryption, complete data isolation. Critically, leading platforms never train AI models on client data. Your information remains yours, with full portability and no vendor lock-in.
Q: Does AI replace investment professionals?
A: AI amplifies human capability—it doesn't replace it. By eliminating repetitive data tasks, professionals redirect their expertise toward strategy, relationships, and complex decisions. It's the difference between having your best people doing data entry versus doing what they do best—investing.
Q: How quickly can firms implement AI?
A: Modern platforms deploy in days, not months. Connect data sources in week one. See real results immediately. Achieve full transformation within 30 days. No lengthy implementations, no complex configurations, no waiting for value.
Private markets stand at an inflection point. The infrastructure that brought the industry this far cannot take it further. The firms that recognize this reality and act decisively won't just adapt to the future—they'll define it.
The technology exists. The ROI is proven. The only question remaining is whether you'll lead the transformation or follow it.