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Technology & AI Security

AI that lowers overhead — under institutional controls.

We deploy artificial intelligence across the accounting workflow to cut cost, eliminate manual error, and shorten decision cycles. It runs inside a documented information-security and data-governance framework, with a licensed CPA accountable for every output.

Where we apply AI in practice.

Three production use cases — not pilots — that compound into faster closes, cleaner data, and earlier signal.

Automated Anomaly Detection

Continuous, AI-driven ledger auditing reviews every transaction as it posts — not in a month-end sample. Variances, potential fraud patterns, and categorization errors are surfaced and routed for CPA review before they reach the financials.

  • Continuous monitoring of the general ledger across all entities
  • Variance & outlier flagging against historical baselines and budget
  • Duplicate and fraud-pattern detection on payments and vendors
  • Exception queue with documented CPA disposition

Intelligent Invoice & Expense Processing

LLM-powered context matching reads invoices and receipts, codes them to the correct GL account and entity, and routes them for approval — driving toward a zero-touch accounts-payable cycle. Staff time shifts from data entry to exception handling.

  • Automated capture & coding of invoices and expenses
  • PO and GL context matching with confidence scoring
  • Approval-routing automation by policy and threshold
  • Expense-policy enforcement with flagged exceptions

Predictive FP&A

Augmented forecasting models combine your historical ERP data with real-time macroeconomic indicators to sharpen the forward view. You see scenarios and sensitivities tied to live actuals, not a static spreadsheet built once a year.

  • Driver-based forecast models connected to live actuals
  • Scenario & sensitivity analysis on the levers that matter
  • Macro-indicator overlays (rates, inflation, sector signals)
  • Variance-to-forecast reporting refreshed each close

Non-negotiable

AI Information Security & Data Governance Protocol

We embrace cutting-edge technology. Client data security is not a trade-off for it. Hunt + Co. operates under a strict, institutional AI Information Security Policy that governs how — and whether — client financial data ever touches a model.

  • Ring-fenced client data. Your financial data is isolated by engagement and is never used to train public or third-party large language models.
  • Closed, enterprise-grade connections. We use enterprise API tiers governed by contractual no-training and data-isolation terms — not consumer chatbots.
  • SOC 2-aligned controls. Our control environment is built to SOC 2 Trust Services principles for security, availability, and confidentiality.
  • Human accountability. Automation does the lifting; a licensed CPA reviews and signs off on every AI-assisted deliverable.
  • Governed to recognized standards. Our approach maps to the NIST AI Risk Management Framework — Govern, Map, Measure, Manage.

Frameworks we align to: AICPA SOC 2 Trust Services Criteria · NIST AI Risk Management Framework

Modern stack. Institutional discipline.

A 30-minute exploratory call. We'll walk through how the technology works — and exactly how your data is protected.

Schedule an Exploratory Call →

rocky@huntandcoadvisors.com · Smyrna, GA