AI Engineering for Fund Finance

We automate NAV calculations, investor allocations, waterfall distributions, and audit preparation — built and operated for you.

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Common Questions About AI for 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 investor allocation workflows, measuring your audit 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 investor allocations in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your fund accounting 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 platform?
We build on top of your existing systems. We integrate with Geneva, Advent, Investran, Allvue, and every major fund accounting platform. The AI layer connects your accounting, portfolio management, and investor reporting systems. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about multi-strategy NAV complexity?
Every workflow we build handles the complexity of multi-strategy fund structures — side pockets, equalization, new issue allocations, and multi-series waterfalls. The AI validates calculations against your governing documents. We maintain audit trails for every step. The AI doesn't override your models; it eliminates the manual work around preparation.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: NAV production time, investor statement accuracy, audit preparation hours, and month-end close cycle. 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 investor allocation. 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.