金融分析 保持安全。
本地 AI 用于金融专业人士：交易分析、合规性、报告——客户和交易数据保留本地。
现实情况
金融专业人士处理客户资金和交易的敏感信息。使用云 AI 处理这些数据会创建监管和合规性问题。
与此同时，分析和报告仍然是手动的、耗时的，并且容易出错。
Skales 如何帮助金融专业人士
分析工具，让您符合要求。
Financial report narration
Paste your numbers and Skales writes the management narrative: what drove the variance, what the trend means, what leadership needs to act on. Consistent analysis across every reporting cycle.
Board and investor pack writing
Draft board packs, investor updates, and monthly management reports from your data and notes. Professional language, consistent structure, and the right level of detail for each audience.
Regulatory submission drafting
Structure regulatory filings, compliance narratives, and audit response letters. Describe the position and the evidence; Skales drafts the formal written submission for your review and sign-off.
Sensitive financial data stays local
Revenue figures, margin data, cashflow forecasts, and client financial information are processed entirely on your machine. No external server, no cloud storage, no data governance headaches.
Month-end close acceleration
Draft the finance team communications, prepare the variance commentary, and structure the close checklist - all from brief notes. Less time writing, more time analysing.
Cost model documentation
Document complex cost models, transfer pricing methodologies, and budgeting assumptions in clear, auditable prose. Skales structures the narrative from your technical notes.
“我可以分析交易和生成报告，而不违反客户机密或监管要求。”