Live market-data dashboards
Interactive, citation-grade, refreshed on demand
AI Finance Team
From Raw Data to Investor-Ready Financial Intelligence
Overview
Finance work is the perfect job for AI: data-heavy, deadline-driven, formula-based, and full of repeatable analysis patterns. Your AI finance team handles the analyst layer so your humans can spend their time on judgment, relationships, and strategy.
Investment analysis, financial modeling, accounting close, FP&A forecasting, equity planning, and market sizing — all from one coordinated team that reads from the same data and writes to the same standard.
Outputs are investor-grade and auditable. Every chart cites its source. Every model ties out. Every memo passes compliance.
At a Glance
- 10
- Use cases covered out of the box
- < 1hr
- From ticker to defensible model
- 24/7
- Filings monitored continuously
- 95%+
- Forecast accuracy on driver-based plans
Before / After
- Before: Analysts spend days pulling data from three terminals
After: Live dashboards built from one prompt - Before: Models break the first time someone edits an input
After: Tie-out clean on every refresh - Before: Month-end close consumes two weeks every month
After: Continuous reconciliation, 5-day close - Before: Variance commentary is "marketing was higher"
After: Driver-level explanations with the why - Before: Cap table diverges from what counsel has on file
After: Single ledger reconciled continuously
Benefits
Three-statement and DCF models
Excel-native, tie-out clean, audit-ready
Month-end close packages
P&L, balance sheet, cash flow, generated automatically
Rolling 18-month FP&A forecasts
Driver-based and refreshed monthly
Strategy memos and board decks
Story-led, data-backed, on-brand
Cap tables and dilution models
Synced with counsel, 409A-ready
Benefits
Live market data
Exchange-grade quotes, fundamentals, and filings on demand
SEC EDGAR monitoring
Continuous filing collection across global jurisdictions
Excel-native modeling
Real .xlsx output with live formulas and audit trails
Direct accounting sync
QuickBooks, Xero, NetSuite, and bank feeds
Citation-grade output
Every number links back to its source
Compliance-friendly
Audit trails on every entry and every model assumption
How It Works
- Brief your team — Drop in the deal, the ticker, the question. Your team picks up the brief.
- Connect your data — Accounting system, CRM, brokerage, data warehouse — connected once.
- Get the first draft — Memo, model, dashboard, or report — delivered in hours, not weeks.
- Iterate and ship — Review, adjust assumptions, regenerate. Ship to LPs, board, or the deal team.
Comparison
| Dimension | Traditional | With Sista |
|---|---|---|
| Time to first draft | 2-5 days (analyst) | 1-4 hours |
| Citation coverage | Spotty, sourced on request | 100%, automatic |
| Model tie-out on first build | ~50% (manual plugs) | 100% (deterministic builder) |
| Filing monitoring coverage | Manual EDGAR alerts | 15+ jurisdictions, 24/7 |
| Forecast refresh cadence | Annual budget cycle | Rolling, monthly |
Why Finance Is Built For AI
Finance has more structure than almost any other corporate function. Every dollar has a debit and a credit. Every model has formulas that tie out. Every filing has a schema. That structure is exactly what AI is best at navigating.
Your AI finance team works from the same primary data your analysts do — SEC filings, accounting systems, market feeds, internal data warehouses — and applies the same methodologies. The difference is speed and consistency. A junior analyst takes two days to build a peer-comp model. Your AI team builds it in 20 minutes, then runs it across 50 peers instead of 5.
Auditable By Default
The non-negotiable in finance is auditability. Every number must cite its source. Every model must tie out. Every entry must have a paper trail. Your AI finance team treats this as a first-class concern: citations are mandatory, audit trails are automatic, and methodology is explicit on every output.
When compliance asks where a figure came from, you have the answer in one click. When an auditor walks through the close, the trail is already there. When an LP questions a number in the update, the source is footnoted.
FAQ
Can it replace our CFO?
No. It replaces the analyst layer — the data pulling, modeling, and first-draft writing — so your CFO and senior team can spend their time on judgment and relationships.
What data sources does it work with?
Accounting (QuickBooks, Xero, NetSuite), market data (exchange-grade feeds), filings (SEC EDGAR + global), CRM (Salesforce, Affinity), and any data warehouse (BigQuery, Snowflake).
Is it compliant for regulated firms?
Audit trails are first-class. SOC 2 and ISO 27001 in progress. Data residency configurable per tenant.
Can it work with our existing models and templates?
Yes. Upload your house template once. Every output mirrors your color coding, named ranges, and tab structure.
How does it handle confidential deal information?
Data never leaves your tenant. Confidentiality flags propagate through every derived output.
Specialists
- Investment Analysis — Analyze stocks, sectors, and portfolios with live market data
- Financial Modeling — Three-statement models, DCFs, and valuations built from first principles
- Accounting Automation — Bookkeeping, reconciliations, and close work — handled overnight
- Financial Planning and Analysis — Budgets, forecasts, and variance analysis your CFO will trust
- Business Planning — Strategy memos, board decks, and operating plans built from the actuals
- Equity Planning — Cap tables, dilution scenarios, and option-pool design that hold up to lawyers
- Market Sizing and Validation — TAM, SAM, SOM analyses backed by real data, not whiteboard guesses
- Financial Reports Aggregation — Collect quarterly and annual reports for hundreds of firms in one pass
- Investment Memo to Content — Turn internal memos into infographics, emails, and LP updates
- Professional Network Mapping — Visualize and analyze the relationships that close deals