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iLevel Alternative: Custom AI Portfolio Monitoring for PE

PE firms searching for an iLevel alternative are rarely unhappy with the idea of iLevel. They want portfolio data they can actually use. iLevel, now part of S&P Global, is the established enterprise platform for portfolio monitoring and data collection, and it earned that position. The question is whether an enterprise template fits how your firm actually runs its portfolio. WorkWise takes a different route: a custom AI system built around your portfolio, your KPIs, and your reporting calendar. Start with the complete guide to AI portfolio monitoring to see where the work really sits.

The Problem

An enterprise monitoring platform ships with someone else's data model: fixed collection templates, fixed KPI fields, fixed reports. That works while your portfolio fits the mold.

But portfolios stop fitting. A services roll-up, a healthcare platform, and an industrial carve-out do not report the same way, and forcing them through one template pushes the interesting numbers into the "other" column. The team fills the gaps in Excel, and the single source of truth quietly stops being either.

Then there is the practical weight: implementation cycles, per-seat licensing, and an admin burden that lands on the same finance team the platform was meant to relieve. Firms typing "replacing iLevel" into a search box are usually describing that weight, not the software failing.

How WorkWise Solves This

WorkWise builds the monitoring layer as a custom system, running Claude inside your own environment. It ingests whatever your companies actually send (management accounts, board packs, lender reporting), normalizes it into your KPI set, and flags drift against plan. See how we structure portfolio company monitoring, or the full workflow in the AI portfolio monitoring guide.

Because it is built to your portfolio rather than a shared template, sector-specific KPIs are first-class citizens, not custom fields. It drafts the monthly flash and the quarterly IC pack in your format. And your portfolio data stays in your control, so nothing about your companies leaves your walls.

Key Benefits

Built to Your Portfolio

KPI collection, flash reports, and IC packs shaped to how your firm actually monitors, across sectors that do not report alike. Your definitions, your calendar, your format.

Your Data Stays Yours

Claude runs inside your own environment. Portfolio company financials, valuations, and board materials stay under your control, and nothing feeds a public model.

No Per-Seat Meter

You own the system and the workflows it runs on. No per-seat license deciding who gets to see the portfolio, and no vendor roadmap deciding which reporting improvements ship.

iLevel vs. WorkWise: Enterprise Platform vs. Custom-Built System

iLevel has real strengths. It is the established data collection and monitoring platform for private markets, it scales to large portfolios, and inside S&P Global it sits next to a deep market data ecosystem. If you want a proven enterprise platform and your reporting fits its model, it is a serious option.

WorkWise answers a different question. Instead of adapting the firm to a platform, you get an AI system built around the way you already monitor, with your data in your hands and no lock-in. If your KPIs, sectors, or reporting calendar do not fit a template, that difference is the decision.

What you are buying iLevel (enterprise platform) WorkWise (custom AI build)
Data collection Templated portals your companies fill in Reads what companies already send, in their format
Financial spreading The platform's data model Normalized into your own KPI definitions
Covenant and lender reporting Platform modules Built to your credit terms where you need it
LP and IC reporting Configurable platform reports Drafted in your house format, ready to edit
Implementation Enterprise onboarding cycle Scoped build around your current workflow
Cost model Enterprise licensing, per seat One build, owned by the firm
Where the data lives In the platform In your environment; you own the system

Some firms run both: the platform as the system of record, a custom layer for analysis and reporting on top. If you are weighing the wider landscape, our guide to the best AI tools for private equity lays out where each piece fits.

If You Are Replacing iLevel

Three rules make the move boring, which is the goal. First, export and archive everything before anything else changes: the historicals are the asset. Second, run the new system in parallel for one full reporting cycle, so the first quarter nobody fully trusts is also the last. Third, migrate the portfolio in tranches, easiest reporters first, so template edge cases surface late, when the system is already proven.

A migration is also the one natural moment to fix definitions. If EBITDA means three things across your portfolio, standardize it now, while every company is already changing how it reports.

See how WorkWise builds portfolio monitoring around your book: AI Portfolio Monitoring: The Complete Guide.

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