AI Engineering for Fund Finance

We automate quarterly investor reporting, waterfall distribution calculations, and capital call notices — built and operated for you.

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Common Questions About AI for Real Estate 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 assemble investor reports, mapping your distribution calculation flows, measuring your volumes. 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 compiles property-level data in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your team starts reviewing AI-assembled reports instead of pulling data from every property manually. The transition is gradual, not a big bang.
How does this work with our fund administration systems?
We build on top of your existing systems. We integrate with Juniper Square, Yardi Investment Management, InvestNext, and every major fund administration platform. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about waterfall distribution accuracy?
Every workflow we build handles the complexity of real estate waterfalls. For distribution calculations, the AI applies your partnership agreement terms and calculates allocations — your fund accountants review and approve. We maintain audit trails for every automated calculation. The AI doesn't interpret partnership agreements; it eliminates the manual computation work.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: investor report preparation time, waterfall calculation speed, capital call notice turnaround, and quarterly close duration. 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 investor reporting or waterfall calculations. 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 investors expect better reporting than assembled spreadsheets.

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