Demonstration · Illustrative data · BI Consulting Services
ARM Institute × BI Consulting Services

Program & Project Financials

One finance operations board for a project-funded Manufacturing USA institute: where DoD core funding, industry cost-share, grants and member dues flow, how each program burns against budget, and what Rippling payroll charges to projects. NetSuite · Rippling · Excel, in one model.
Prepared for Paulo Senior Financial Analyst, ARM Institute
Mill 19, Hazelwood Green · Pittsburgh, PA
SEPTEMBER 2026 · FY2026 CLOSE
Program
Fiscal period
Funding source
Signature view · Funding river → Mill 19 project floor NetSuite GL · Excel project forecasts

How the money flows: sources → programs → 36 active projects, colored by burn health

On plan (90–110% of budget) Watch (110–120%) Over (>120%) Under-spending (<90%) Cell height = FY budget · bar inside = spend vs budget · hover any cell
Trend · 12 months, Oct 2025 – Sep 2026 NetSuite GL actuals vs Excel budget

Monthly spend: GL actual vs budget

NetSuite actualExcel budgetSelected period
What this board answers

Three questions the finance team asked

Breakdown · Budget vs actual NetSuite GL · Excel budget

By program

ActualBudgetOverrun beyond budget
People & payroll · Labor by department Rippling payroll register → NetSuite

Labor cost charged to projects vs indirect

Direct (charged to projects)Indirect / G&A
Obligation risk · FYTD run-rate projection NetSuite cumulative actuals · Excel PoP dates

Projects that exhaust obligation before period of performance ends

Invoicing & receivables · Members and sponsors NetSuite AR

Billed vs collected by funding source

CollectedOutstandingBudgeted billing
Ask the data · Private AI over the finance model

Natural-language questions, answered from governed NetSuite + Rippling data

Mock-up: the answer above is generated from the same illustrative dataset as this board, with every figure traceable to a source table. In production the model answers only from your Power BI semantic layer, inside your tenant.
Integration · Centralized reporting model

Three systems, one semantic layer

NS
NetSuiteGL actuals by project & account, AP, AR invoices and collections, cumulative obligation spend.
RP
RipplingHeadcount by department, payroll register, timesheet allocation of FTEs to projects vs indirect pools.
XL
ExcelApproved budgets, project forecasts, period-of-performance dates, provisional indirect rate.
Demonstration · Illustrative data · BI Consulting Services
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Private AI on your own server

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Private AI Servers — slide 1 of 14
Private AI Servers — slide 2 of 14
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