Home/Industries/Private Equity/Fund Finance

AI Engineering for PE Fund Finance

We automate NAV calculations, waterfall distributions, capital call notices, and fund audit preparation — built and operated for you.

Book Assessment →

What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Billing, Payments & Reconciliation

→

Your team spends days reconciling fund-level financials. We do it in minutes.

NAV reconciliation management fee calculations expense allocations

Data Entry Automation

→

Your team re-types data from one system to another. We eliminate that.

capital accounts valuation inputs journal entries

Document Generation

→

Capital call notices and distribution letters assembled from fund data automatically.

capital call notices distribution notices K-1 packages

Compliance & Audit Readiness

→

Every audit is a fire drill. We keep you ready all the time.

fund audits LPA compliance regulatory filings

Risk Detection

→

Patterns hiding in your data that your team can't catch at scale. AI finds them.

valuation discrepancies fee calculation errors allocation anomalies

Reporting & Consolidation

→

Multi-fund financial data pulled together so the CFO sees one picture.

fund-level financials waterfall analyses cash flow forecasts
See How We Work →
Case Studies Pricing

Common Questions About AI for PE Fund Finance

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your fund finance operation — watching your team prepare NAV calculations, mapping your waterfall distribution process, measuring your capital call preparation cycle. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI processes NAV components or capital call notices in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your finance team starts managing exceptions instead of processing everything manually. The transition is gradual, not a big bang.
How does this work with our fund accounting system?
We build on top of your existing systems. We integrate with Investran, eFront, Allvue, and every major fund accounting platform. The AI layer connects your fund accounting, portfolio monitoring, and investor reporting systems. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about waterfall calculation accuracy?
Every workflow we build validates waterfall calculations against your LPA terms. The AI handles preferred returns, catch-ups, carried interest tiers, and clawback provisions. We maintain audit trails for every calculation step. The AI doesn't override your waterfall models; it eliminates the manual work around preparation and validation.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: NAV calculation time, capital call preparation speed, distribution notice accuracy, and audit preparation hours. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like NAV calculation or capital call automation. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most fund finance teams start with one workflow, prove the ROI, then move to a dedicated team.

Your operations are too complex for manual processes.

Book a free 30-minute AI Assessment. We'll map your highest-volume workflows and show you the 3 processes with the highest ROI.

Book Your AI Assessment