Portfolio Monitoring

Portfolio monitoring for private equity, built on bank feeds.

We encode your fund’s monitoring rules against the bank feeds each portco already has, so the weekly cash position across the portfolio maintains itself.

  • AI implementation services
  • Your monitoring rules, encoded
  • No portco system change
  • The weekly position maintains itself

Built with the leading AI platforms

NVIDIAAnthropic
Peter Enestrom, founder of Zaigo

Led by Peter Enestrom and the Zaigo AI & engineering team

YaleColumbia UniversityMicrosoft

The broken Monday

Seventeen companies, seventeen ERPs, one Excel tracker.

From fund operators we have sat with: operating partners and VPs at lower-mid-market funds, portco CFOs at founder-owned companies — not shopping for software, already burned by platforms that need portcos to report in.

  • The tracker lives in one person’s Excel

    The operating partner hand-built a portfolio cash tracker parsing BAI bank files — the weekly liquidity view your 13-week model is trying to be, maintained by hand.

  • Every acquisition multiplies the systems

    Five acquisitions in two years on disparate ERPs, one portco on a 14-year-old vertical ERP with heavy manual workarounds, and consolidation pain compounding with each deal.

  • The bank feed is the only unambiguous number

    Portco ERP data arrives shaped by manual workarounds, so the operating partner trusts the bank feed instead — it is unambiguous, and everything else needs interpretation.

  • Answers exist somewhere, and stay unfindable

    Portfolio companies run on legacy systems, often outside major metros; the answers exist inside them somewhere, but connecting sources and centralizing on a schedule never survives the week.

  • Every deck assembled by hand

    Recurring investor and portfolio decks get hand-assembled at 10–12 hours of executive-assistant time each, so the firm’s picture of its companies runs a cycle stale.

What manual costs

Manual portfolio company reporting is a line item, not a feeling.

What the manual way looks like at a lower-mid-market fund running its tracker in one person’s Excel. Your numbers will differ — the first cycles we run in parallel put figures on yours before anything gets built.

10–12 hoursExecutive-assistant time hand-assembling one recurring investor or portfolio deck
One spreadsheetWhere the weekly cash position across seventeen companies lives — and who it leaves with
Dies at adoptionWhat happens to monitoring that asks seventeen portcos on seventeen ERPs to update a portal

From anonymized engagements — lower-mid-market funds, seven to seventeen portcos, sub-$250M revenue each

How it works

Liquidity reporting across the portfolio maintains itself.

No portal for portcos to adopt, no ERP standardization project — we encode the monitoring rules your operating partner carries, and the weekly report assembles from the bank feed.

  1. 01

    Map what the fund monitors today

    The Excel tracker that exists today — its accounts, its thresholds, its cadence, what “late” means per company — is the spec we start from.

    First cycle
  2. 02

    Encode the monitoring rules

    Which accounts, which thresholds, which covenant definitions per company — encoded against BAI bank feeds plus the reports each portco already produces. No ERP access required.

    Per company
  3. 03

    The weekly position maintains itself

    Bank feeds land on schedule and the report assembles; anything the rules cannot reconcile — a missing feed, an unusual outflow — goes to an exception queue.

    Every week
Not another platform

Cash flow forecasting services for PE-backed portfolios, without the portal project.

The fund-data platforms are priced and shaped for institutional funds, and every one of them requires portcos to report into the platform. Seventeen companies, seventeen ERPs, seventeen reasons the portal never gets updated.

The platforms hold whatever gets typed in; we encode your monitoring rules and read the bank feeds directly — our AI does the reading, while your encoded rules do the judging.

Peter Enestrom, founder of Zaigo
Who builds it

Led by Peter Enestrom.

Co-Founder — leads AI & Engineering

Pete Enestrom

Every engagement is led personally by Pete, working with the Zaigo AI & engineering team from the two-week audit through the production handover. The person who scopes the work is the person who builds it.

Education
Yale & ColumbiaGraduate
Background
Microsoft & IntelFormer
Experience
Exited FounderVenture-Backed

Background

Questions

Asked by operating partners and portco CFOs.

The straight answers, before you book anything.

What’s holding your business back?

A workflow ready for automation. An AI product you want to build. A problem that has sat on the roadmap for years. Let’s talk about what it would take to solve it.

Talk to Zaigo