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AI Engineering for PE Fund Operations

We automate portfolio data collection, operating metric consolidation, value creation tracking, and portfolio reporting — built and operated for you.

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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.

Data Entry Automation

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

portfolio financials operating KPIs board materials covenant data

Incoming Request Processing

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Requests come in from everywhere in every format. We read, classify, and route them.

portco reports management packages add-on materials

Reporting & Consolidation

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Portfolio-wide data pulled together so the investment team sees one picture.

portfolio dashboards value creation bridges IC memos

Risk Detection

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

covenant breaches revenue deterioration margin compression

Document Generation

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Investment memos and board decks assembled from portfolio data automatically.

board presentations 100-day plans exit analyses

Compliance & Audit Readiness

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

SEC reporting Form PF annual audits
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Common Questions About AI for PE Fund Operations

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your fund operation — watching your team chase portfolio company data, mapping your operating metrics consolidation process, measuring your reporting cycle times. 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 collects portfolio data or consolidates operating metrics in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your operations team starts managing exceptions instead of chasing data manually. The transition is gradual, not a big bang.
How does this work with our portfolio monitoring tools?
We build on top of your existing systems. We integrate with Chronograph, iLevel, eFront, and every major PE portfolio monitoring platform. The AI layer connects your monitoring tools, portfolio company systems, and reporting platforms. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about data quality from portfolio companies?
Every workflow we build handles the reality of inconsistent portfolio company data. The AI normalizes financial formats, validates against historical baselines, and flags anomalies for review. We maintain audit trails for every data transformation. The AI doesn't make investment decisions; it eliminates the manual work around data collection.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: portfolio data collection time, reporting cycle speed, data accuracy rate, and value creation tracking completeness. 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 portfolio data collection or operating metric consolidation. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most PE firms 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.

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