Ask any emerging-fund GP what their Sunday-night reporting flow looks like and you hear the same story. A pile of Excel workbooks emailed in by portco controllers. A junior analyst normalizing chart-of-accounts mismatches by hand. A partner trying to spot the one covenant slippage buried in tab eleven of portco four. By the time the portfolio view is assembled, the underlying months are already stale.
Aziell exists to replace that flow. For operators it is a prescriptive FP&A platform. For the funds backing them it is the portfolio intelligence layer the industry never built properly — a single surface where every portco reports in the same shape, every covenant is monitored continuously, every value-creation milestone is tracked against plan, and every quarterly LP pack assembles itself from live data rather than a week of analyst time.
Who this is for
Aziell’s investor product is purpose-built for four overlapping audiences:
- Emerging funds (Fund I–III) investing behind multi-location service platforms — dental DSOs, HVAC roll-ups, restaurant groups, childcare academies, fitness studios.
- Mid-market funds running 8 to 25 platforms where portco-by-portco Excel doesn’t scale.
- Search funds and ETA investors who need operator-grade FP&A from day one but can’t staff a full finance function.
- Family offices and holdcos backing multi-unit operators on a long hold.
“The hard part of running a portfolio isn’t building one more dashboard. It is getting every portco to report in the same shape.”
The four surfaces investors use most
The platform is organized around four surfaces that map directly to a GP’s monthly and quarterly calendar.
1. Portfolio
A single dashboard of every portco with live KPIs — revenue, EBITDA, DSCR, cash, branch count, covenant status — pulled from each portco’s books through the same QuickBooks + Gusto connectors an operator uses. Because every portco is running on the same driver-based model, metrics are directly comparable without a single line of Excel reconciliation.
2. Benchmarks
Cross-portfolio leaderboards ranking every portco on the metrics that drive returns — gross margin per FTE, branch-contribution margin, prime cost, lease coverage, customer retention curves. The top-quartile portco becomes the operating benchmark the bottom quartile is measured against. Read the companion cross-portfolio benchmarking piece for the methodology.
3. Covenants + alerts
Every lender covenant — DSCR floors, leverage ceilings, minimum liquidity, cap-ex limits — is modeled once per portco and evaluated continuously against live actuals. Drift against any covenant triggers an alert seven days before the reporting date, not after. Our covenant monitoring guide walks through how this changes lender conversations.
4. LP reports
Quarterly and annual LP packs generate from live data: portco-level one-pagers, fund-level performance, consolidated metrics, value creation progress, and cash waterfall. The artifact is PDF-ready with your fund’s branding. See LP reporting without Excel for the mechanics.
Why funds choose Aziell over building internally
Most emerging funds attempt at least one internal version of this — a BI consultant, a Looker dashboard wired to each portco’s QuickBooks, a junior analyst assembling monthly packs. The pattern fails for the same reason every time: the problem isn’t the dashboard layer, it’s the normalization layer underneath. Getting five portcos to report net revenue the same way, recognize seasonality the same way, classify labor the same way — that is the hard part, and no dashboard fixes it.
Aziell solves it at the source. Every portco runs the same driver-based model and the same auto-classified chart of accounts. The dashboard isn’t glue over inconsistent data — the underlying data is already consistent because every portco is operated on the same FP&A surface. GPs get a portfolio view that ties out, because the portcos tie out to each other.
How operators experience it
A portco operator using Aziell sees their own product — the prescriptive FP&A platform, the CFO Copilot, the branch benchmarks — exactly the same as a standalone operator customer. The fund permission layer sits above that: GPs see aggregated views across every portco, with drill-in to any operator’s live numbers. Operators retain control of their data, full audit trail on what the fund accesses and when.
This matters. Operators resist being “instrumented” by their fund when the tooling is surveillance-first. Aziell is usefulness-first — the operator gets real FP&A value, the fund gets portfolio intelligence as a byproduct. Adoption is frictionless because the tool earns its way in.
What Aziell is not, for funds
- Not a deal-flow CRM. We don’t track your pipeline. Affinity, DealCloud, Attio handle that.
- Not a fund accounting system. Your fund administrator and your GP-level books stay where they are. Aziell is the portfolio-ops layer, not the fund-accounting layer.
- Not a substitute for diligence. During diligence we can help you model a target in Aziell’s driver framework (see diligence for multi-location platforms) — but the platform is most valuable post-close, once the portco is operating.
Where to go next
If you’re an emerging fund running 4 to 15 portcos, start with the portco finance stack problem to understand why your current reporting is expensive in ways that don’t show up on an invoice. Then read cross-portfolio benchmarking and LP reporting without Excel for the two highest-ROI workflows. If you want the product surface first, the investor landing page gives the cohort-application overview.
The Aziell Editorial Desk is the joint byline our platform overview and cross-disciplinary pieces publish under. Every post under this byline is reviewed by at least one fractional CFO, one FP&A researcher, and one product lead before publishing. The desk's job is to keep Aziell's voice consistent — plainspoken, quantitative, operator-first — across the surface area of prescriptive FP&A.
See the math run on your own books.
Connect QuickBooks, map your branches, and let the CFO Copilot surface your first recommendation set overnight.