Every page.
One place.
All 38 pages on nashos.ai, grouped the way the site is built. Looking for the machine-readable version? It's at /sitemap.xml.
Product
The system itself — what it does, what it costs, and how to see it running.
Home
Agentic FP&A software that runs planning, forecasting and close as one continuously computed system.
/systemThe System
How NashOS collapses eight EPM modules into five systems on one data foundation.
/inside-nashInside Nash
The six systems behind agentic FP&A — and how they run as one model.
/for-leadersFor Leaders
One system, three lenses: CFOs, FP&A teams, and founders.
/productsProducts & Platforms
Nine product pillars — Reporting, Planning, AI, and Operations — on a 10-dimension cube.
/pricingPricing
Pilot in days. Scale with confidence.
/demoLive demo
Touch the product with sample data — dashboards, the AI agent, what-ifs.
/tryTry with your data
Run a NashOS pilot on your own numbers, walkthrough within one business day.
/calculatorROI calculator
Four sliders. The answer in dollars.
/roadmapRoadmap
Now, Next, and Later. Public, honest, no fake dates.
/changelogChangelog
Everything shipped, by week.
Compare
How NashOS stacks up against the tools it replaces.
NashOS vs Anaplan
AI-native FP&A in hours, not 6-month implementations.
/vs/adaptiveNashOS vs Workday Adaptive
Built for the LLM era — 43 tools, 15 forecast algorithms.
/vs/excelNashOS vs Excel
When the spreadsheet stack stops scaling.
/financial-close-softwareFinancial close software
Close in 1 day, not 12 — an agentic AI layer over the close.
Solutions
The platform, and FP&A by industry.
Agentic FP&A platform
Built around AI agents — not retrofitted with a chatbot.
/ai-agents-for-financeAI agents for finance
43 tools across Read, Plan, Forecast and Decide — and what keeps them safe.
/finance-automation-softwareFinance automation software
Automating at the data layer instead of scripting the screen.
/ai-forecasting-softwareAI forecasting software
15 algorithms compared on holdout windows — then lock the winner.
/cfo-ai-toolsCFO AI tools
How to evaluate AI in the finance stack: trust, audit, permissions.
/continuous-financeContinuous finance
Planning, forecasting and close as an always-computed system.
/for/saasFor SaaS
ARR, retention cohorts, and runway in one cube.
/for/servicesFor services
Mixed revenue streams — MSA, project, and the long tail.
/for/consultingFor consulting
Utilization forecasting and project margin, both at once.
/for/manufacturingFor manufacturing
BOM × supplier prices × yield × volume, with what-if at every layer.
/for/hardwareFor hardware
Per-SKU margin and supplier-shock scenarios, tracked to the unit.
Company
Who's building this, and how to reach us.
Who we are
Built by an FP&A operator who got tired of rebuilding the same spreadsheet.
/careersCareers
Not actively hiring yet — but FP&A operators who code should write us.
/partnersPartners
Implementation consultants, platform partners, and integrators.
/contactContact
Send a note, book a 15-min demo, or write to admin@nashos.ai.
Resources
Practical FP&A patterns, free templates, and the blog.
Blog
Close cycles, forecast algorithms, driver-based planning — no fluff.
/blog/cut-your-close-cycle-from-11-days-to-4Cut your close cycle from 11 days to 4
What the median close breaks down into — and the three layers to collapse.
/blog/picking-a-forecast-algorithm-without-a-data-science-teamPicking a forecast algorithm without a data science team
The 15 algorithms NashOS ships with, and how to read R² / RMSE / MAPE.
/blog/what-driver-based-planning-actually-meansWhat driver-based planning actually means
A worked example: one driver, one formula, 3 days of rework collapsed to 30 seconds.
/blog/agentic-ai-in-finance-explainedAgentic AI in finance, explained
What makes AI agentic, and what that means inside a finance system.
/blog/how-to-improve-forecast-accuracyHow to improve forecast accuracy
A six-step playbook, starting with measuring error properly.
/resourcesResources
Free FP&A starter pack — P&L, Cash Flow, Runway, Variance templates.
/sitemapSite map
This page — every route on the site, human-readable.