Patterns

AI finance automation for reconciliation, reporting, and audit-ready data trails
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Patterns is a financial data automation platform designed to remove the repetitive, error-prone work that slows finance teams down. It automates core workflows like data reconciliation, cleaning, and analysis, then turns that foundation into usable outputs: trustworthy reports, clear explanations of metric movement, and actions that can flow back into your systems. The goal is simple—help teams move from spreadsheet triage to decision-making, without losing control, traceability, or audit readiness.

At the center of the product is Vega, an AI-powered finance partner that connects to your existing stack. Patterns integrates with tools such as Excel, SQL databases, QuickBooks, Brex, Stripe, and other operational systems like CRMs and product analytics platforms. By grounding AI in real business data, Vega can answer finance questions, generate investor-ready reporting, reconcile transactions, and maintain robust data trails that support audits and due diligence.

Using Patterns typically starts with connecting your financial and operational sources. From there, you can ask questions in natural language or select a report template for Vega to run. Vega returns the report and highlights what changed and why—helping teams understand fluctuating metrics, revenue drivers, or unit economics without manually stitching data together. When issues are found (like mismatched transactions, anomalies, or categorization errors), Patterns supports making corrections efficiently, including pushing fixes back to your books to keep records aligned. more

Review Summary

Features

  • AI-powered automation for reconciliation, data cleaning, and financial analysis
  • Vega AI finance partner for Q&A, reporting, and metric explanations
  • Integrations with Excel, SQL, QuickBooks, Brex, Stripe, and operational systems (CRM, product analytics)
  • Investor-ready reporting with clear variance explanations
  • Automated transaction reconciliation and anomaly detection
  • One-click corrections and ability to sync fixes back to accounting records
  • Audit-ready data trails and support for due diligence workflows
  • Ability to build Slack bots using existing documentation
  • Tools to embed AI assist features into products

How It’s Used

  • Automating reconciliation, cleaning, and analysis for finance teams
  • Generating investor-ready monthly/quarterly reporting
  • Explaining fluctuating metrics and identifying revenue drivers
  • Calculating precise unit economics across finance + product + sales data
  • Modeling scenarios using integrated operational and financial forecasts
  • Streamlining audits and due diligence with strong data trails
  • Reconciling vendor invoices and payroll in near real time
  • Detecting anomalies and correcting issues quickly
  • Automating cross-functional reporting that bridges finance, sales, and product
  • Building Slack bots to answer questions from internal or customer-facing documentation
  • Adding AI assist features to software products

Plans & Pricing

Patterns

Custom

AI Analysts Connecting Data Generating Analyses Dashboards Sharing Slack App Data Modeling Customizing Analysts Alerts DAG, Infra and Phyton

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