Claude AI for Finance

Combine ocr, ml, and ai to turn documents into structured data and actions. Ingest and classify invoices and statements, perform ocr, map to json, validate, enrich, and post to erp.

Generate financial narratives from P&L, cash flow, KPI tables, and variance reports using retrieval augmented generation, in an executive style with three drivers, two risks, and one call to action.

Develop compliance, controls, and audit readiness with a secure policy library and immutable logs, while enabling citations for every source. Automate evidence gathering, checklists, and versioned artifacts for auditors.

Forecast time series by identifying trend, seasonality, and noise, using additive or multiplicative models, decomposition, and validated pipelines for credible, decision-ready forecasts.

Leverage a language model as scenario copilot to draft assumptions from history, verify against data, convert drivers into PNL cash flows, and export outputs as CSV for Excel or Python.

Turn forecast data into an action-focused story using the central forecast line, prediction bands, a waterfall bridge, and gen ai to map drivers to liquidity thresholds.

Apply continuous planning with a rolling 12–18 month forecast updated monthly to blend actuals, run rate, and drivers, and use alerts on variance, drift, and indicators to guide fast pivots.

Leverage Genai for fast spend analysis and simple Excel/Sheets optimizers to cut costs without heavy math, harmonize vendors and categories, and draft action-focused budget plans.

Generative AI turns working capital routines into fast, auditable playbooks for accounts payable and receivable, optimizing DSO, early pay strategies, and treasury workflows with ERP/CRM retrieval.

Diversify across assets to reduce risk when one area declines. Use a VaR-like bar to forecast losses and stress test portfolios in recession, inflation, and recovery scenarios.