💰 Business Case · May 2026

A full finance team.
200 AI agents.
One OS.

Most founders don't fail because of bad ideas — they fail because they don't have the right finance team behind them. Finance OS is that team: 200 specialised AI agents across financial modelling, scenario analysis, cash management, fundraising, due diligence, and investor relations.

200 Specialised Agents 10 Finance Functions Founder-First First check → Final exit
Browse All 200 Agents ARTlligence ↗
200
Specialised single-purpose AI agents — each with defined inputs, outputs, and quality bar
10
Finance functions covered: modelling, scenarios, cash, fundraising, DD, investor relations, and more
24/7
Always on — financial intelligence that never sleeps, never misses a covenant, never forgets a deadline
1
Coordinated unit — agents hand off context, validate each other's work, and deliver founder-actionable outcomes
The Root Problem

Founders fail finance, not product

The average early-stage founder has no CFO, no FP&A team, and no finance infrastructure. They run on spreadsheets held together with hope, miss the signals that matter, and go into investor meetings without the numbers that close rounds.

💸 Runway blindness
Most founders can't tell you their exact zero-cash date, their cash conversion cycle, or which customer invoices are likely to slip. The 13-Week Cash Forecaster and Liquidity Risk Scanner run automatically — no CFO required.
📊 Models that don't hold up
Investor-ready financial models require bottoms-up and top-down revenue, linked three-statement models, scenario analysis, and sensitivity tables. Finance OS builds all of it — and stress-tests it before it lands in front of an LP.
🎯 Wrong investors, wasted time
Founders spray decks at 200 investors and get 2 meetings. The Investor Fit Scorer and Warm Path Mapper identify which partners actually write your check — based on stage, sector, check size, and portfolio fit.
📋 Due diligence that kills deals
Investors request 40+ data room documents. Founders scramble for weeks. Finance OS pre-builds every DD document — financial statements, KPI trackers, cap table, legal docs, customer cohorts — before the ask arrives.
📉 Exit left on the table
Founders don't know their real valuation, who the strategic buyers are, or how to run a dual-track process. The Comparable Transaction Analyser, Buyer Universe Mapper, and Exit Proceeds Modeller give you clarity from day one.
🏦 Cap table complexity
Pro-rata rights, anti-dilution provisions, option pool shuffles, down rounds — each creates hidden founder dilution. Finance OS models every scenario so you never sign something you don't fully understand.
10 Teams · 200 Agents

Every finance function. Every agent purpose-built.

Each agent is a single-purpose specialist with defined inputs, outputs, and a quality bar. They hand off context to each other, validate work across the chain, and deliver outcomes the founder can act on.

Team 01
💹 Financial Modelling
Bottoms-up + top-down revenue, burn, runway, unit economics, SaaS metrics, 3-statement models, headcount, CapEx, working capital, FX, revenue recognition.
20 agents
Team 02
📊 Scenario Analysis
Base/best/worst cases, Monte Carlo simulation, sensitivity analysis, stress testing, recession/growth scenarios, pricing changes, churn spikes, M&A, layoffs.
20 agents
Team 03
💸 Cash Flow & Risk
Cash position tracking, 13-week forecast, liquidity risk, AR/AP management, bank reconciliation, credit line monitoring, cash conversion cycle, anomaly detection.
20 agents
Team 04
🎯 Fundraising Intelligence
Investor fit scoring, warm path mapping, outreach sequencing, meeting prep, follow-up drafting, term sheet analysis, round structuring, bridge round scenarios.
20 agents
Team 05
📋 Due Diligence
Data room creation, financial statement prep, KPI documentation, customer cohort analysis, churn analysis, employee overview, legal doc assembly, DD Q&A drafting.
20 agents
Team 06
📢 Investor Relations
Board deck drafting, investor update writing, KPI narrative, milestone tracking, ask/help documentation, lowlight disclosure, cap table updates, SAFE/note tracking.
20 agents
Team 07
📐 Valuation
DCF modelling, comparable company analysis, precedent transactions, venture dilution modelling, 409A prep, post-money waterfall, exit scenario modelling, ESOP analysis.
20 agents
Team 08
⚖️ Legal & Compliance
Cap table management, SAFE/convertible note analysis, equity plan administration, compliance calendar, tax filing prep, contracts register, IP ownership verification.
20 agents
Team 09
🚪 Exit & M&A
Exit readiness scoring, buyer universe mapping, strategic vs financial buyer analysis, CIM drafting, management presentation, exit proceeds modelling, dual-track process management.
20 agents
Team 10
📈 Market Intelligence
TAM/SAM/SOM sizing, competitive benchmarking, public comp tracking, market narrative building, sector risk assessment, macro factor monitoring.
20 agents
"Stop spraying. Start targeting. Every model, benchmark, and metric stress-tested before it lands in front of an LP. Cap table, contracts, and compliance built so future rounds and exits aren't a cleanup project."
— Finance OS · Built for founders, backed by AI
Financial Impact

What 200 agents replace

A fully staffed early-stage finance function — VP Finance, FP&A analyst, and fundraising advisor — costs $400K–$700K per year. Finance OS delivers the same intelligence at a fraction of the cost, available on day one.

Finance Team Replaced
$500K+
Annual cost vs human FP&A team
Model Build Time
−95%
3-statement model: 4 weeks → 4 hours
DD Data Room
−90%
40 docs in days, not months
Investor Targeting
10×
Better fit rate vs spray-and-pray
From first check to final exit

The full founder finance journey

Stage 1 · Pre-seed
First check
Revenue model + burn forecast
Investor fit scoring
Pitch deck financials
SAFE + cap table setup
Stage 2 · Seed
Build & raise
Full 3-statement model
DD data room pre-built
Scenario analysis suite
Board deck automation
Stage 3 · Series A+
Scale & expand
Unit economics deep-dive
Valuation + comparables
Investor update automation
Multi-entity consolidation
Stage 4 · Exit
Final exit
Exit readiness scoring
Buyer universe mapping
CIM + management presentation
Exit proceeds modelling